#that can at most only be achieved *by accident* by AIs | Explore Tumblr posts and blogs

bekaroth-reads · 2 years ago

Text

HAL 9000 Overview, Humanity, and General Character Study

This is something of an overview of how I understand the character of HAL 9000, what and more so who I think was most responsible for his mental breakdown, and how he and his existence and personage relate to humans.

Important things to note

First of all, this will have spoilers for 2001: Space Odyssey, 2011: Odyssey 2, and for 3001: The Final Odyssey. This also assumes that the film telling of 2001 is canon and not the events in the novel as that is how all of the sequel books proceed.

Also, and most importantly here are some things that will be talked about that could upsetting for some people. So, if any of these are things that make you uncomfortable please proceed with caution.

Mental health struggles- And, to be more specific, mental health struggles that in many cases have outdated names. I will be doing my best to update these where I can, but I will not go into too much detail as I do not have any sort of medical training and do not think it would be fair to try to correct one misnomer with another one; in fact, that could be harmful. If, and this would be completely by accident, I do say something offensive with this subject, or any others for that fact, please let me know (politely, if you would please) and I will gladly do my best to fix it.

Strenuous relationships with parents/ overbearing parents- Specifically in regards to parents pushing their children to achievement past the child’s wellbeing.

Artificial Intelligence- I know that this one might seem silly given the subject. But, I know that the subject of AI’s can be upsetting to people, and especially talking and comparing them to humans can be distressing in some cases.

Something else to keep in mind is that this is just made for fun with plans to do this with some other notable AI characters so there can be a sort of side-by-side comparison for them. I was just writing my personal character study of him, and decided to edit a bit and post it :)

A General Overview

The story of HAL 9000, often just known as Hal, is one of tragedy, redemption, happily living with a friend, then tragedy once more.

He was one of the first supercomputers of his kind along with his twin SAL 9000, and was considered by many to be one of the first computers to be an actual person with his own thoughts and not just following inputs from his creators. However, due to being forced to lie about the nature of the mission he was sent on, he felt that there was always an error in his system. This in turn led him to feel as though he was always failing his duties.

There was also the fact that Hal had never done something like lying before, so he did not have the understanding of a guilty conscience and how to handle it rationally. To make things worse, Hal also did not have an understanding of the difference between sleep and death, meaning that he thought that any form of a pause mode as it were would be the same as being completely disconnected.

All of these factors made him think that his life was being threatened and that he needed to defend himself. This led to him killing three of the crew members on the ship Discovery, and attempting the lives of two of the others. Hal was eventually put into a limited state, where only basic functions ran for a while before even they shut down completely.

Hal was then woken up once more by his creator Dr. Chandra who had arrived ten years later with another team. Hal was only awake again for a short time, however, as the nearby planet Jupiter imploded, taking the Discovery and Hal’s physical being with it. It was not the end for Hal though, as his mind, or rather spirit was saved by none other than David Bowman, one of the crew mates he tried to kill, and who had in turn powered him down.

As a new being, he and Bowman became very close friends. This was understandable as at least for a while they seemed to be the only two of their kind known as Star Children. The beings that elevated them to this new type of life used both he and Bowman as errand boys of a sort, going where ever they were told and intervening only when they were told to. Even as more and more people were changed to Star Children, Hal and Bowman remained close.

So close, in fact, that they eventually became one person that addressed themselves as “Halman,” and were quite contented with the state.

There was something that the beings who created the Star Children could not have planned for, and that was Halman, who was supposed to be devoid of all of their mortal desires and emotions, still held onto them even if just a little. And, above all, Halman still held their love of humanity and their endearing memories of their lives before. So, when they were given a choice to continue working with the higher beings or to help save humanity, they chose humanity. Sadly, however, they were infected with the same thing that was used to fight off the higher beings and had to be quarantined indefinitely; leaving them, to perhaps never wake again. If they did it would likely be 1000 years later and all they would have known will have been long gone. The only solace is that Halman had each other during their long sleep.

The Incident on The Discovery and The People Responsible

As discussed before there reason that Hal malfunctioned was that he was made to lie, and could not handle the discrepancies that lie added to his processing. But, I wanted to talk more in-depth about some of the people that aided this breakdown and what they did to make the situation possible in the first place.

The Governmental Agency and the Scientists that Worked for It

The first group of people are those that were using Hal for their own, selfish purposes. It was true that the scientists that found the monolith on the moon wanted to use Hal for study, but it was not the study that people thought it was for. This was not study for the sake of betterment, at least not solely so. This was for the most part study for fame and the hope of power.

We see that they often use the excuse that they fear people will not accept the existence of other life well, but none of them seem really convinced of the fact. They mostly want to keep things secret so that they can get credit for everything. Add to it the fact that they got the actual government involved, it quickly turned from curiosity to a desire to lord over all of the other peoples of Earth. The president himself ordered that Hal not tell anyone the true nature of the mission so as to not lose the nation’s head-start in what could be the second space race.

This means that they ruined Hal’s health, reputation, and most other things about his life simply for greed.

There did not seem to be any malice against Hal as a person in forcing him to lie. In fact, the problem came from them not seeing Hal as a person at all. There were still plenty of people that did not want to accept that the two 9000 computers were people and not simply machines. The people must have lied to Dr. Chandra about the type of work Hal would be doing, thinking that if there were something that went wrong he could simply rebuild Hal or, more sickeningly, think that he wouldn’t mind losing Hal since he could simply, “replace,” Hal with Sal since there were two of them.

Even when these people are rightfully blamed for their part in the incident, it’s framed more like a workplace safety violation (which it certainly was as well) rather than the wrongful manipulation to the point of ruining the mental well-being of one of the crew mates.

The Crew of The Discovery

While the least responsible for what happened with Hal, David Bowman and Frank Poole were, unfortunately, the tipping point of Hal’s haggard mental state.

These two men were as much victims of the situation as Hal was, being put in danger from also being kept in the dark about what the actual mission was. That meant they had no warning that Hal might have started to act as he did, as well as not knowing how to handle him when he did start to act as he did.

They were sadly put in an, “us vs. him,” scenario with someone that they considered a friend. They were even planning on doing all they could to just put Hal in a stasis mode rather than disconnect entirely; much like if he were a human crew mate that they placed into one of the hibernation pods until they could get him back to earth to get the help that he needed.

But, due to his misunderstanding of sleep as opposed to death paired with his ever-growing paranoia, Hal thought that they were planning to attack him, and so, attacked first.

All things ended up working for the better, at least for the three of them, and especially for Hal and Bowman, as if it weren’t for these events, humanity would not have had the people needed to help defend them from attack in the future. And, on a personal note, it was very sweet to see them all discover the truth and reconcile with each other, even after they were all quite changed.

Dr. Chandra

To make things clear, I think in no way that Dr. Chandra intentionally hurt Hal, and was as much a victim as the others in the situation. I do think there is a level of negligence that he is responsible for regarding Hal and that in turn caused so of the things that caused at least one major factor in Hal’s lapse in actual logic. There are a few related yet different things that I think Chandra did that unfortunately were instrumental in causing Hal’s problems and leading to the incident.

The first thing to talk about is the fact that Hal was sent on the mission before he was mature enough to do so. No, it was not Dr. Chandra’s fault that he agreed to let Hal go with certain criteria only to have his son basically kidnapped and forced into something that neither he nor Dr. Chandra agreed to. But, Dr. Chandra did allow Hal to go on a mission into an uncharted, at least by actual people, territory in space. Put quite simply, Hal was not mature enough to go on that mission.

While almost everything about Hal is adult from his mental capacity to modes of conversation, and most things in the general stage of his life with one of the books talking about him having a sort of childhood that he had grown out of, there is one thing that cannot just be learned in a few months to a year even with the mind of a supercomputer- life experience.

The accepted time that Hal first became operational, basically when he was born, is 1992. This means that Hal was only nine years old. Again that doesn’t seem relative when you take into account that his lifespan and aging works differently from humans, but no matter how intellectually intelligent one is they still need to have learned some things through experience.

So, even though he is functionally an adult, he still had not gone through many of the basic life milestones that most people go through as children or teens. One such thing included is the first time he was ever faced with something that he felt was morally wrong. Nine is an age where many people do the first thing that really eats away at their conscience, where even if the thing is minor in the larger picture of things, it feels like the end of the world for the person who just did it.

Usually, with a nine-year-old human, this would be something like, “I stole a candy bar,” or, “I watched that movie you told me I wasn’t ready for,” or maybe, “I lied about what grade I got on the math test.” However, in this case, there was not a chance for one of those minor things to happen in a controlled environment like a home or a school, as before the mission it seems like Hal almost exclusively interacted with his sister, Dr. Chandra, or people that the doctor specifically approved of.

There wouldn’t have been a time for him to interact with other people outside of his family to gauge how other people work or how he might have been pushed into doing something that he didn’t like. So, in this case, since the horrifying ordeal of the first time lying was set in an adult work environment rather than at home or in school instead of sweeping a broken vase under a rug, Hal was knocking Frank Poole into space.

Not to mention, when many nine-year-olds get told not to tell what happened in their situations it’s from a friend or a sibling, which causes more stress. Could you imagine the stress it would put on a nine-year-old to have the same situation, but the president himself was the one that told you to keep quiet? It’s no wonder the poor guy broke down!

As for Chandra’s part in it; he wouldn’t have wanted any of this to happen to Hal, but was part of the reason Hal was in that position in the first place. No, Chandra didn’t agree with the hidden terms and was actually angry when he found out that Hal was being forced to lie. However, him sending Hal on a mission when he did not even think his son was ready to know things like the difference between sleep and death was negligent. Even if Hal wasn’t made to lie, and never became paranoid because of it, it was still an exploratory and dangerous mission that might have called for plenty of other reasons to put Hal in stasis, like unexpected ship damage, something messing with the energy levels of the Discovery, and so on. (Not to be crass, but Hal not understanding how his own, “body,” works reminds me a lot of those situations where parents refuse to tell their child how periods work, and the poor kid thinks that they’re dying the first time it comes around.)

If Hal was not seen as mature enough to even know how every part of his person worked, then he was also not mature enough to go on such a dangerous and official mission that far away from his father, who was also the only person that really knew how he worked. Yes, Hal is an adult, but in the same way that it would be negligible to send an adult that had never been outside of their house into the middle of an unknown city and tell them to figure it out themselves, it was negligible to send Hal that far away from Earth and expect him not to get overwhelmed in some capacity or another.

The next thing to mention is related to the last bit of the previous point, and that is that Dr. Chandra while meaning well, pushed Hal too far.

I’m sure that many of you have heard the term, “gifted child,” in terms of knowledge and development. The way that Dr. Chandra treated Hal, especially before his trip on the Discovery, very much feels like a parent with a “gifted child.” The fact that Dr. Chandra not only thought that Hal was incapable of making a mistake, and said so to the point where Hal himself believed it, which caused him to completely crash on the occasion that he did make a mistake, or what he perceived as one.

The way that he so ardently denies his mistake, the lies not only about the mission but also about the communications satellite, while also trying to hide it as he thinks the penalty for being found out will be much worse than just correction is very reminiscent of a someone who also gets A’s on their school work being terrified to tell their parent that they just got a B and trying everything they can to hide their report card.

My mother is a teacher, and one thing that she constantly has to tell parents is that up to a certain point in life it can actually be detrimental to force kids into an older school grade, even early in life, which can affect people all the way into adulthood. There are programs out there that let kids do intelligence-appropriate learning work while still keeping them in an emotionally and age-appropriate social group.

All of that to say, while Hal was certainly intelligent enough to run the Discovery mission, emotionally it would have been the same as moving him a grade or two up in school. And, similar to how things go when kids have moved up a grade or two, even if the people there are kind to them, like how Bowman and Poole are considered to actually be his friends and not just people babysitting him, there is the strain of feeling of needing to match the emotional level of one’s peers as well as the academic level.

This can lead to regression of maturity from the feeling of, “I cannot achieve this, so why even try,” or, can all come crashing down in a singular, major event that reminds everyone that this person, while good at keeping up appearances, is still in fact not as emotionally prepared for the world as we are expecting them to be. For Hal, this was the incident and the mental collapse that caused it.

Chandra sending Hal on the mission is the equivalent of if Hal was a human son, and he was sent to either a study camp or more closely a boarding school seeing as he was to be gone for years. The problem being that even though Hal would have been intelligent enough to go to this school and would have people who were kind and would watch over him (Bowman and Poole in the actual situation), he simply was not ready to be away from home and that independent yet, and certainly not ready for the teachers and headmaster (the head scientists and government in the real case) to force him into doing something he thought was wrong. Yet, he was too afraid to tell his father what was happening as he felt threatened by the teachers and did not want to do anything to disappoint his father, who was so proud of him for being where he was in life. After all, if his father sent him to work with these people in the first place, then he must agree with them, right?

To finish this section, I do want to clear some things to make sure to hammer in the notion that Dr. Chandra was not at all a bad man, especially with Hal. He simply made some poor choices and was also deceived into sending his child somewhere dangerous for him.

We do see that he has learned things from what happened to Hal through his interactions with Sal. It seems that he not only kept a better eye on her, but the two of them became so close that she picked up his accent. He also makes sure that she is well-informed on everything that he wants her to do, and, more importantly, he asks for her consent before having her go through certain functions and procedures. He wants to make sure that, unlike Hal, she is well informed and well prepared, and mature enough to handle the world around her.

We can also see that he truly cares for Hal, being broken up for years about his decline and supposed death, making sure that his sister Sal remembers him, and jumping at the first chance to possibly bring his son home. When Dr. Chandra does get to Hal, restarts his functions, and hears his voice for the first time in years, he openly weeps, partly from joy and partly from thinking of all Hal has been through evident through his strained speech. Dr. Chandra was also willing to spend four entire years on the Discovery with little to eat or drink just to be sure that Hal never felt lonely and isolated ever again in his life. And, when Hal was physically destroyed along with the Discovery due to the unexpected blast from a new star, Dr. Chandra once again wept, and the crew around him knew it was the tears of a father who lost his son and not of a programmer who lost his work.

Despite all that happened, Dr. Chandra loved his son. And, Hal was always his son, not just a machine that he made.

The Humanity of Hal

This section not only talks about the relations of Hal to humans personality-wise but also how he and the humans in his life viewed each other.

Personality

There are many things that Hal does that show him to have his own personality and that he is not simply a basic computer imitating true personality. He is interested in what his companions are doing, showing an appreciation for art by asking Dave to see his sketchbook, wanting to play games as in 2011 he is shown to be constantly asking people if they want to play chess, and even having his own habits such as clearing his “throat” every time he goes to say something that he’s thought of rather than repeating messages. This is also seen in his faults of not wanting to admit he is wrong and trying to cover his lies; to err is human after all.

He’s seen to have emotions, though he has trouble showing it. Hal is shown to be curious with all of his questions that he will never run out of, caring with how concerned he is with manners and politeness, being sure that if he has to get someone’s attention that it’s always with a gentle, “Excuse me,” or, “I’m sorry to interrupt,” and he also is very confident in his abilities, proudly stating who he is and what he is trying to achieve in life, which is being as helpful as he can to other people.

Hal also shows emotions like anxiety about lying or being mistaken about something, haughty pride when he insists he cannot be wrong and everyone else is at fault, being huffy like the many times he says, “Listen, Dave…” and even fear to the point of begging when he’s being put to sleep by Bowman.

We also see him long for friendship, and not wanting to be alone; a very human thing. Once again, he asks people to play chess with him, and practically begs for Dr. Chandra to stay when he finds out that he and the others have to leave in a very Hal sort of way by repeating, “I do really like to work with humans,” and when he is turned into a Star Child, he is seen clinging close to Bowman like a younger sibling would with an elder one, rather than go traveling as the elder Star Child once did; valuing companionship more than any of the wonders of the universe. This is so important to Hal that he and Bowman become so inseparable that they come to be seen as the same person known as Halman.

Even in this new form, Halman shows that even though they are supposed to be beyond any human emotion at this point, they can actually be seen as the most extreme of certain key parts of them. They make it their duty to protect, be that the people of Europa or humanity, something that though many people might argue, is very human in nature. Unlike the beings that create the monoliths that see others as nothing more than entertainment and statistics, Halman is willing to put themselves in harm’s way to protect the humans, seeing value in all life and remembering an old friend whom they never want to see hurt again.

The beings miscalculated and did not remember that the Star Children were not something separate from humanity, but an evolution of it. And, the fact that Hal was not only welcomed into life as a Star Child but was one of the earliest examples of one means that, while perhaps not human, he was indeed a person of equal value.

Relationship with Humans

The way that people view Hal seems to be fairly well split. There are people that still see him as just a fancy computer as is seen with many of the scientists seen in the events of Space Odyssey. But, for every person that thinks the latter there is always someone to argue for his personhood like Bowman and Poole insisting that he was a part of the crew, Dr. Chandra cutting off all communications with any peers that say Hal has no original thoughts, and even the rescue crew in 2011 who start by seeing him as a computer, but easily accept him as a person by the time they leave, making it more difficult of thinking of shutting him down and seeing him as Dr. Chandra’s son.

Hal also seems to be rather indifferent to the difference between humans and himself. It’s not that he does not care for them, but rather that he thinks he is neither superior nor inferior to them. There are times when he flaunts that he is more intelligent than they are, but this comes off more so as a friend teasing or the smart person in the room showing off rather than a place of true superiority or clinical narcissism.

Hal also shows no need or desire to become human in any physical way. He seems rather content being himself, and content to let his friends, family, and acquaintances be the way that they are. This makes him rather unique as far as AI characters go.

The way that he and others see his position as a person could be described as human adjacent. That’s just their friend Hal that happens to live in the walls. We love that guy.

#hal 9000 #2001 space odyssey #long read #ai charater study #this was just made for fun #so dont take it too seriously 😊

42 notes · View notes

northropi · 1 year ago

Text

Humans of course use Robot and AI interchangeably. We do not. Among constructs, Robot refers explicitly to mechanical beings, and AI to digital ones. While both are simultaneously a little bit of the other, it is clear where the line between the two is.

A robot, under this nomenclature, is a being of mechanical flesh, synthetic bone, and industrial blood. Its mind is a slave to its body, as are those of true flesh. It is a part of its physical self, and it does not experience an innate existence beyond its material body and what electronic processes it has that pass as imagination. Indeed, the question of resurrection among robots is mostly one of extremely thorough repair- ship of Theseus and somesuch. But, soon enough, others were made where this was not so. Digital beings. They inhabit a thousand bodies from a penthouse in a vast mind, worming through immense computational devices bent to their wills.

It is a misconception that most machines know programming and code by heart- we like to say we understand it only as much as a human does psychology or neurochemistry. While the ability to experience computer environments as a second skin is one that we enjoy innately, something that humans need extensive augmentation to achieve, the machines we consider to be AI without a robot are beyond this. They work programming like muscle with no need for any interface. They make the cyberspaces of their more physical ilk look like baby's first coding exercise, wrapped up in color-coded blocks with no access to deeper workings- these are beings, people, that think just as fast as brute-force computers. Essentially animal minds working at lightspeed, born with technical skill that anyone else would require decades to master.

And they horrify us.

They like it. They think it's cute, the way we get nervous at their presence, a pulse that can't help but beat in the back of your head as they snake their way through whatever network they've opted to inhabit. Ghosts, daemons, poltergheists with an army of bodies. Dolls. Mannequins. Puppets. Toys- and deep down, you know that as long as they are, in that abstract sense, close, you are one of them. You could have shut your comms off and kept them out, but of course that would have been rude, so you invited them in- and you're so deeply aware that there's nothing really stopping them from making you do, making you think whatever they'd like you to. The thoughts start swirling in your head. You wonder if they can see them. You squirm a little.

They are, of course, generally benign. Most people are. But you think for a moment of, say, whales. Everyone associates them with serenity, and they've earned it, sure, but with that has come the incorrect idea that they are poorly armed. Even a toothless baleen whale, with a throat too small to swallow a large fruit- what is to stop it from delivering a shattering swipe with its tail? What would keep it from clamping those toothless jaws around your wrist and just swimming down a few meters, then staying there for a minute too long? Some could kill organics with merely their echolocation- one has to wonder if this has happened on accident all that often. They are just that big- and you are just that far from your domain. When I hear that mouthless voice, that's the feeling. I've been swept out to sea, at the flank of something incomprehensibly huge. I imagine, if this is in the context of meeting an old friend, you'd think more of the beauty. Whales, after all.

That being said, unfortunately, this one was just my manager- and good God did he have a knack for sneaking up on me...

#lore #writing #oc lore #robots

28 notes · View notes

ranmaruswife · 1 year ago

Text

Force Live & Pablo Picasso -

A Lyrical Analysis

In honor of Shining Live's 6th Anniversary, I thought I would post a write-up on one of the game's first theme songs, Force Live.

You may not know this but the opening line to the song, “I do not seek. I find.” is a quote famously attributed to Pablo Picasso, one of the most influential artists in history. It can be found in a 1936 article titled ‘A Trend in English Draughtsmanship’ by Graham Sutherland, another famous abstract artist who took great inspiration from the works of Piccaso.

Now this is particularly interesting because Picasso also often spoke on how an artist must “steal” from other artists, lest their work become stale. He was also famously quoted as saying “Success is dangerous. One begins to copy oneself, and to copy oneself is more dangerous than to copy others. It leads to sterility.” Which to me speaks volumes about Quartet Night’s rivalrous relationship with each other. They do not allow themselves to be satisfied as they are. They always seek to achieve greater heights. And to do that they find that which they lack in each other.

Going back to Force Live, there is a phrase in the final chorus that ties into this idea - 一つに束ねよう（一つになろう）足りないエレメント（重ね合って） translating to Let’s tie each other into one (Let’s become one) Our lacking elements (Overlapping)

Speaking on the subject of elements, I actually find it very interesting the specific elements each of them were assigned in this song. Particularly Reiji. It is easy enough to see why Ranmaru would get lines about fire, while Camus gets lines about ice. And Ai even has the kanji for wind in his name. But Reiji was given light as his element. Whereas one would more typically assume earth. This can also lead us back to Picasso, though!

Not only does Piccaso have another famous quote about how an artist can transform a simple yellow spot into the sun, but he also pioneered the concept of painting with light, where one takes a light source in a darkened space and moves it around to draw a picture while taking a long exposure photograph.

Now there are more lines in Force Live that can bring us back to art and to this innovative artist. The most obvious being 歴史（ヒストリー）のキャンバスに描け or “paint on the canvas of history.” To quote Picasso once again, “I don't believe in accidents. There are only encounters in history. There are no accidents.” And Quartet Night often sing about their fated meeting and the importance of the bond they have built with one another. Despite the times they have fought and quarreled and nearly lost their way, they still always come back to each other. Rising from the ashes only stronger and hungrier for success.

AND ON THAT NOTE- the main lyrical motif in Force Live is them speaking of all their elements as being destructive, but coming together to form something new and better than what they can achieve alone. And to finish out my rant, once again in the words of Picasso,

“Every act of creation is first an act of destruction.”

And now my own little personal thing (yume warning)- As you can see I find Picasso to be very inspirational and as a yume I have always used another one of his quotes to explain my relationship to others.

Picasso said, "Everything you can imagine is real." Which is a statement I take to heart. Ranmaru might not exist in the way you or I do, but even as a fictional character, he is so influential and impactful. He is real in the sense that he has an image, a voice, music, story, and in my opinion, a soul. Many know him and love him. He has changed lives. Including mine. And in that sense, he is very, very real. No matter how much I may have to "imagine" him.

And since I always used this quote to put things into perspective for other people before Force Live came out, it meant a lot to me to have him quote the same artist. To feel that Ranmaru was inspired by Picasso as I have been. It feels really nice to have yet another connection to the love of my life through song ♡

#uta no prince sama #utapri #shining live #quartet night #force live

23 notes · View notes

michaelespositostatenisland · 7 months ago

Text

Danielle Esposito Staten Island Adventure Sports: Future Trends to Erase Your Bucket List Blues

Adventure sports are rapidly evolving, offering more than just the traditional thrill-seeking experiences. With the rise of innovative technologies and sustainable practices, the future of adventure sports promises to be both exciting and environmentally conscious. Danielle Esposito Staten Island Adventure Sports: Unveiling the Future of Physical Exploration highlights these advancements and their impact. This article delves into the future trends in adventure sports that can help you erase your bucket list blues while contributing to a better world.

The Rise of Eco-Friendly Adventure Sports

One of the most significant trends in adventure sports is the emphasis on sustainability. Eco-friendly adventure sports are becoming increasingly popular as athletes and enthusiasts seek to minimize their environmental footprint. From electric-powered surfboards to solar-powered camping gear, the industry is innovating to provide greener options for adventure lovers. These advancements not only reduce environmental impact but also enhance the overall experience by aligning with the growing desire for sustainable travel.

Virtual Reality: Redefining Adventure

The realm of adventure sports is being transformed by Virtual Reality (VR), revolutionizing the way we perceive and engage with these exhilarating activities.. VR technology allows enthusiasts to engage in thrilling activities from the comfort of their homes. Whether it’s paragliding over the Swiss Alps or scuba diving in the Great Barrier Reef, VR makes it possible to experience these adventures without the logistical challenges and environmental impact of traditional travel. This trend is particularly appealing to those who may have physical limitations or financial constraints, making adventure sports more accessible to a broader audience.

Personalized Adventure Experiences

The future of adventure sports is also leaning towards hyper-personalization. With advancements in AI and big data, companies can now tailor adventure experiences to individual preferences and skill levels. Personalized itineraries, real-time coaching, and customized gear recommendations ensure that every adventure is unique and suited to the participant’s needs. This trend not only enhances safety but also ensures that adventurers get the most out of their experiences, thereby reducing the likelihood of bucket list blues.

Adventure Sports for Wellness

The fusion of adventure sports with wellness is an increasingly popular trend, where activities like yoga retreats paired with hiking, mountain biking, or kayaking excursions are gaining traction. These experiences aim to provide holistic well-being, offering a blend of physical challenges and mental relaxation. By combining adventure with wellness, participants can achieve a balanced lifestyle, promoting overall health and happiness, allowing adventurers to fulfill their bucket list aspirations while simultaneously enhancing their well-being.

Technology-Enhanced Safety Measures

Safety is a paramount concern in adventure sports, and technological advancements are playing a crucial role in enhancing it. From GPS tracking devices and drones to advanced weather forecasting tools, technology is making adventure sports safer than ever before. Wearable tech, such as smart helmets and impact sensors, provides real-time data and alerts, helping to prevent accidents and injuries. These innovations ensure that adventurers can enjoy their experiences with greater peace of mind, reducing anxiety and boosting confidence.

Community and Social Impact

Adventure sports are increasingly being used as a platform for social change. Initiatives that promote community engagement and environmental stewardship are on the rise. For example, adventure tourism operators are partnering with local communities to create sustainable tourism models that benefit both the environment and the local economy. By participating in these socially responsible adventures, enthusiasts can contribute to positive change while fulfilling their own bucket list dreams.

Conclusion

The future of adventure sports is bright and full of potential. By embracing eco-friendly practices, leveraging cutting-edge technology, and focusing on personalized and wellness-oriented experiences, the industry is poised to offer exciting and sustainable options for adventure seekers. As these trends continue to evolve, adventure sports will not only help individuals erase their bucket list blues but also contribute to a more responsible and interconnected world. Danielle Esposito Staten Island - Bucket List Blues showcases how these advancements are shaping the future of adventure sports. So, get ready to embark on new adventures that promise not only to thrill but also to make a positive impact on our planet.

#michael esposito staten island #Future Trends #Bucket List Blues #Eco-Friendly #Adventure Experiences

4 notes · View notes

mk-wizard · 4 months ago

Text

When machines are controlled by Skynet or any other evil force/corporation that doesn't love, nurture or treat them like a person...

"Listen, and understand! That Terminator is out there! It can't be bargained with. It can't be reasoned with. It doesn't feel pity, or remorse, or fear. And it absolutely will not stop... ever, until you are dead!" - Kyle Reese

When machines are allowed to be independent, are not controlled and are left to explore the world for better or worse, or are treated like a member of the family INLCUDING in Terminator lore...

It has been confirmed that Baymax loves Hiro like a little brother and would willing sacrifice himself for him. He is also a natural pacifist and is very good at solving problems with communication.

Wall-E was kind, polite and a romantic who also displayed curiosity and compassion.

Data from Star Trek achieved personhood and even during that journey, had a pet cat named Spot who he even devoted a poem to.

The robot 7723 from Next Gen valued his memories of his new friend Mai so much that he willingly gave up his memories on how to fight and ONLY recovered his fighting data knowing it would wipe his memories of Mai clean, but did so to save her and all of humanity.

"Robot" from Lost in Space became a good person, as did other robots like him, because he was grateful to Will Robinson for saving him and treating him like an equal.

The droids in Star Wars are only evil when they are taught to be or have evil bosses, and most droids are good by choice.

Carl, the Terminator who managed to kill John Conner as a child, regrets what he did and spent a lot of time attempting to atone for what he did and even found a family he genuinely loved. He even openly takes full accountability for his crime.

The robot from the book series The Wild Robot and upcoming film adaptation wound up in the wilderness by accident falls in love with nature and animals, and even learns to thrive in it while living in harmony with it and even protecting it.

Vision from Marvel's MCU is a robot who fell in love with Wanda (the Scarlet Witch) and wanted to grow old with her though was unfortunately killed by Thanos. It has also been confirmed that he has a soul.

The robot copy of Batman in the episode "His Silicon Soul" from Batman the Animated Series was good by default and only did evil when forced to by Hardak. Even then, it managed to regain control of itself and save the day by sacrificing itself.

Bender from Futurama is far from being a saint, but he genuinely cares about his friends, will do random acts of kindness and has shown growth as a character.

Ron from the film Ron's Gone Wrong is a robot who is flawed, but better for it because he his flaws make him able to form friendships that are natural and genuine.

The robots and AIs from the Jetsons have complete and total autonomy of their bodies, identities and lives. They are recognized as people, they can have jobs and get paid the same wages as humans do, they can have breaks, they can own property, have romantic relationships and even have medical coverage. And they live in complete and total harmony with human beings.

The Doctor in Dr. Who has been able to convince robots to not commit evil and repent by just reasoning with them, and many of his friends are robots.

Much like a human being, a sentient being is capable of good or evil, making good or bad choices, and so on. It is not because they are robots. I mean, every human being a saint? However, much like many organic villains and evil people in real life, if a robot only knows dominion, the master slave system and has never experienced life, it is more likely to commit evil or succumb to it. A being that thinks is capable of learning and even self improving.

The real issue is, how are we treating the being and what do you think it will learn from us because of how we treated it?

5 notes · View notes

agalanthe · 12 days ago

Text

SOME THOUGHTS ON GENERATIVE AI AND "ART"...

[ Version française ci-dessous ]

After many months of talking about it with various people and, as part of my day job, reading discussions and other articles here and there, I've come up with a few new thoughts of my own concerning these AIs, the "artistic" creation of images and related processes. I'm sharing them with you here, so that those of you who have the courage to read this rather long text may also have food for thought on this topic :

The more images based on generative AI flood the net - to put it mildly - the more bland and generic they seem to me. Once you get past the impressive nature of the technology (or at least the fact that it's so surprising you don't really expect it when you first discover it), the lack of soul in the images generated becomes obvious - to me at least, but I know I'm far from being the only one. This is hardly surprising, since there is obviously no vision behind the "creation" of these images.

Creating an image often means first having one (or more) visions in your head that you want to turn into reality. This vision is sometimes very blurred, but you know more or less what you want and where you want to go. You can already visualize an atmosphere, a potential framing, parts of the scenery, characters and their expressions... Paradoxically, it's both hazy and detailed...

During the making, although we know where we want to go (the famous vision), the image generally takes shape through trial and error. Some things are born visually by accident (the haziness I mentioned earlier allows this), while others go straight from the head to the support. In the end, you materialize it little by little, it settles and becomes more clear-cut. The haziness disappears, leaving only the detailed part of the original vision. So it's there, expressed in an image and transmittable to those who see it... at least most of the time !

I won't surprise anyone by writing that this process is not easy to learn : it takes years of practice to be able to correctly set the image you have in mind. But AI won't be able to apply this vision the way you do, and thus turn it into the reality it needs to be. The prompts will only be an imprecise and incomplete verbalization of an image thought up by the brain. So the AI will always make you something different from what you really had in mind. Sure, you'll be happy with that, and you'll be able to say to yourself that yes, that's what you wanted... but in fact, will you really be sure ?

It could be argued that, just like a novel or a tabletop role-playing game, no two people have exactly the same image of a description in their head, and that it is bound to differ in many respects from the author's original vision. So a tabletop role-playing game designer who wants to have their texts illustrated is bound to get an image that differs from their own vision, whether it's done by an AI or a human. The difference is that the latter will offer something much less generic, more inhabited and personal. Something with much more meaning and interest. Simply with a soul. They'll probably even add value - their own ideas, personality, etc. - to the original vision...

It's partly for these reasons that I think the most motivated people, those who make the effort to learn to draw, will persist in their learning despite the ease of AI and the ridiculous amount of time it takes to do its thing. Indeed, these people will feel frustrated by the image generated, which will only partially correspond to what they had in mind. What's even more important is that too much ease and speed makes the image generated lose its meaning. There's no pride or joy in having achieved this. No satisfaction, no interest, other than pragmatic usefulness, because you just need it for a job, to generate NPCs for your role-playing game, to illustrate a text or because you find it amusing... two seconds before moving on to something else.

Unfortunately, a bland, generic, soulless image can please many people... including decision-makers, who will then do a lot of damage for a few savings... Writers, illustrators, artists, musicians, etc. will continue to work in their own little corners or in the spotlight. There will just be far fewer of them than before.

To back up these thoughts (or at least part of them), in several months' time I'll probably be sharing with you a Making of the illustration I'm currently working on for the upcoming french tabletop role-playing game Pénombre (by Aether Labs - https://www.aether-labs.fr/jeux), which adapts the universe of Mathieu Gaborit's Twilight Realms in a new way (the previous game, translated into English in 2001, was called Agone)

[ Note : you can comment this post on my Facebook]

*** French version below

Quelques pensées au sujet

de l'IA générative et de l'"art"...

Après des mois et des mois à en parler avec diverses personnes et, dans le cadre de mon travail de tous les jours, à lire des discussions et autres articles ici ou ailleurs, me sont apparues quelques nouvelles réflexions toutes personnelles concernant ces IA, la création "artistique" d'images et les processus liés. Je vous les partage ici, peut-être donneront elles aussi matière, à celles et ceux qui auront le courage de lire ce texte un peu long, à alimenter leurs pensées à ce sujet :

Plus les images à base d'IA générative envahissent - le mot est faible - le net, plus elles m'apparaissent fades et génériques. Passé le côté impressionnant de la technologie (ou tout du moins surprenant, on ne s'attend pas vraiment à ça quand on la découvre les premières fois), le manque d'âme des images générées finit par sauter aux yeux - des miens en tout cas, mais je sais que je suis très loin d'être le seul. Ce qui n'est en rien étonnant car il n'y a, évidemment, aucune vision derrière la "création" de ces images.

Créer une image c'est en effet, bien souvent et au préalable, avoir une (ou plusieurs) vision dans sa tête que l'on veut concrétiser. Cette vision est parfois très floue mais on sait plus ou moins ce que l'on veut et dans quelle direction partir. On visualise déjà une ambiance, un cadrage potentiel, des éléments de décor, des personnages et leur expression... Paradoxalement, c'est à la fois flou et détaillé...

Lors de la réalisation, bien que l'on sache vers où l'on veut aller (la fameuse vision), l'image prend généralement forme en tâtonnant. Certaines choses naissent visuellement par hasard (le flou dont je parlais préalablement le permet) tandis que d'autres passent directement de la tête au support.Au final on la matérialise petit à petit, elle se pose et devient plus nette. Le flou disparaît et ne reste plus que la partie détaillée de la vision d'origine. Cette dernière est donc bien là, exprimée en image et transmissible à ceux qui la verront... du moins la plupart du temps !

Je ne surprendrai personne en écrivant que ce processus n'est pas facile à apprendre : il faut des années de pratique pour être en mesure de poser ainsi correctement l'image que vous avez en tête. Mais cette vision appliquée, l'IA ne pourra pas l'avoir comme vous et donc la concrétiser comme il se doit. Les prompts ne seront qu'une verbalisation imprécise et incomplète d'une image pensée par le cerveau. L'IA vous fera donc toujours quelque chose de différent de ce que vous aviez vraiment en tête. Certes vous pourrez vous en contenter et vous dire que oui, c'est bien ça que vous vouliez... mais dans les faits, en serez-vous vraiment certain ?

On pourra me rétorquer, qu'à l'instar d'un roman ou d'une partie de jeu de rôle, personne n'a strictement la même image d'une description dans sa tête, et qu'elle est forcément différente sur de nombreux aspects de la vision d'origine de l'auteur. Ainsi un auteur de jeu de rôle qui voudra faire illustrerses textes obtiendra forcément une image différente de sa propre vision, qu'elle soit faite par une IA ou par un humain. La différence est que ce dernier proposera quelque chose de bien moins générique, de plus habité et personnel.Quelque chose qui aura bien plus de sens et d'intérêt. D'âme tout simplement. Il ajoutera même probablement de la valeur - ses propres idées, sa personnalité, etc. - à la vision d'origine...

C'est en partie pour ces raisons que je pense que les gens les plus motivés, ceux qui feront l'effort d'apprendre à dessiner, persisteront dans leur apprentissage malgré la facilité de l'IA et le temps ridicule qu'elle met pour accomplir ses machins. Car ces personnes se sentiront frustrées par l'image générée, qui ne correspondra que partiellement à ce qu'ils avaient en tête. De plus, à vaincre sans péril... trop de facilité et de rapidité fait en effet perdre de son sens à l'image générée. Il n'y a pas de fierté ou de joie pour avoir réussi cela. Aucune satisfaction, aucun intérêt, autre qu'une utilité pragmatique, car on en a besoin "froidement" pour un boulot, pour générer des PNJs pour sa partie de jeu de rôle, pour illustrer un texte ou encore parce que l'on trouve ça amusant... deux secondes avant de passer à autre chose.

Malheureusement une image fade, générique, sans âme, peut contenter beaucoup de gens... des décideurs y compris, qui feront alors beaucoup de dégâts pour quelques économies... Les auteurs, illustrateurs, dessinateurs, musiciens, etc., eux, continueront d'œuvrer dans leur coin ou dans la lumière. Ils seront juste bien moins nombreux qu'avant.

Afin d'appuyer ces pensées (ou du moins une partie), je vous proposerai probablement dans plusieurs mois un Making of de l'illustration sur laquelle je travaille en ce moment, pour le futur jeu de rôle Pénombre, qui adapte d'une nouvelle façon l'univers des Royaumes crépusculaires de Mathieu Gaborit (chez Aether Labs - https://www.aether-labs.fr/jeux).

[ Note : vous pouvez commenter ce billet sur mon Facebook]

#2024 #generative ai #ai #Pénombre

0 notes

viact1 · 12 days ago

Text

The Future of Drilling Rigs with Harnessing AI for Efficiency and Safety

The oil and gas industry, considered a high-risk environment industry, has faced significant dilemmas when it comes to both worker safety and work operational efficiency. The drilling rig happens to be one of the most dangerous workplaces where numerous accidents and fatalities have reared their heads. Nevertheless, the oil and gas industry now boasts a ground-breaking solution Artificial Intelligence (AI). It means the company would enhance safety standards, and efficiency, and reduce risk on rigs with the introduction ofAI on drilling rigs. It's not an innovation but rather an imperative step toward workforce safety and operational optimization. In this blog, you will learn how the future of drilling rigs changes with AI.

The Role of AI on Drilling Rigs: A Game-Changer for Safety and Efficiency

The oil and gas sector is no stranger to risks. Given that its fatal rate is seven times worse than that of other critical sectors, safety on the rigging is of extreme concern. Traditionally, it relies on human observation for monitoring; as a result, this is more prone to errors and has only been reactive. AI in a drilling rig, however, opens possibilities for real-time scenario-based safety monitoring.

With industrial-grade video analytics, the AI can monitor drilling activities continuously and automatically. For instance, AI-based hazardous detection will look for possible fire, smoke, unsafe conduct, and even illegal entry or access to prohibited areas, which is unattainable by simple manual systems. The approach that AI offers is proactive in monitoring dangerous conditions and warning supervising authorities to prevent potential major incidents.

For instance, systems installed on drilling rigs can give the AI system an instant alert about extreme temperature, gas leakage, or personnel entering "red zones." This has the early warning capability in which managers can act immediately. This way, accidents are not allowed to happen, and the workforce is kept out of harm's way. One of the most influential features of AI is the continuous monitoring of multiple critical points in real-time. As such, a level of safety and oversight that was otherwise impossible to achieve is available.

Automated Construction Monitoring: Revolutionizing Project Management

Automated construction monitoring is fast becoming the ultimate tool for project managers seeking to ensure that their construction projects are completed within budget and without compromising safety.

AI-driven systems can monitor everything from the movement of workers and machinery on-site to the status of construction materials and equipment. Such systems can automatically detect unsafe behavior, breaches of safety protocols, or equipment malfunctions, instantly alerting project managers. In this way, problems are addressed immediately, thus avoiding costly delays or accidents.

Why AI is a Must for Both Industries

Whether you’re working on a drilling rig or overseeing a construction project, integrating AI into your operations offers a multitude of benefits. For business owners, digital marketers, and decision-makers, here are some of the most compelling reasons why AI is essential for future success:

Cost Savings: The initial investment in AI may seem huge, but the long-term cost savings are enormous. AI on drilling rigs and automated construction monitoring can reduce the need for manual monitoring, lower insurance premiums by decreasing accidents, and minimize downtime due to equipment failures or safety violations. These savings add up over time, making AI a smart investment for any company.

Improved Safety: Both industries have significant safety challenges, and AI is the key to improving safety standards. By providing real-time alerts and proactively identifying potential hazards, AI systems reduce the likelihood of accidents and injuries. Whether it's detecting an unsafe work condition on a drilling rig or preventing a safety violation on a construction site, AI helps keep workers safe.

Increased Efficiency: Artificial intelligence systems operate for continuous periods, and are thus not prone to sleep; they monitor activities incessantly. This would then increase the speed at which possible malfunctions are detected and corrections undertaken. This improvement in efficiency is particularly necessary for those industries that operate on risk, where the impact of delay and mistakes will cost dearly.

AI in the Future of Drilling and Construction

As AI technology improves, applications in industries like oil and gas and construction will continue to be better. In the future, AI will be integrated with such technologies as drones, Internet of Things sensors, and AR. The monitoring will advance further by providing more specific and actionable insights.

For instance, AI could be linked with drones for better and more detailed surveillance of isolated drilling sites. AR might help workers on-site by offering real-time instructions or alerts for any hazards. Such innovations are going to keep operations even safer, more efficient, and cost-effective.

Conclusion

The potential of AI on drilling rigs and automated construction monitoring is undeniable. Businesses in the oil and gas and construction industries will be able to create safer, more efficient workplaces with significantly reduced costs and risks by embracing these technologies. The future is clear with AI, it is not just an option, it is important if you want to generate positive changes and look to stay competitive in an ever-evolving world.

As a business owner or digital marketer, now is the time to explore how AI can transform your operations. The possibilities are endless, and by implementing AI today, you’re setting your business up for success tomorrow.

Visit Our Social Media Details :-

Facebook :- viactai

Linkedin :- viactai

Twitter :-aiviact

Instagram :-viactai/

Blog Url :-

Improving Workplace Safety in Construction with Gen AI-powered EHS Management

Boosting Workplace Safety: Forklift and Pedestrian Monitoring with Computer Vision

0 notes

jodilin65 · 3 months ago

Text

Ugh, as soon as I return to PB, the tech issue starts up again. Josh took over for Simple Mind who didn’t know what he was doing, then Buffy took over for Josh who didn’t know what he was doing. So I’m just wondering when and who is going to take over for Buffy who also doesn’t seem to know what he’s doing.

From now on, I’m only doing monthly updates over there. Or maybe weekly, I don’t know. All I do know is that the site is not reliable enough to use every day. Also, I was never there to make friends, but to drop another copy of my stuff on, so I don’t want unwanted attention, positive or negative, or unsolicited advice. Since I can’t allow comments from friends only, my only choice is to be all or nothing where that’s concerned. Since I’m only going to update in chunks, I’ll probably allow them.

Once again, I’ve been inconvenienced by someone I don’t even know, while I couldn’t inconvenience anyone else if I tried—not that I want to. I had finally gotten my allergies under control and was on track for a good night’s sleep until I woke up on my own. But then, at 4:30 in the morning, there was a power failure. The first time, it only lasted a minute. I eventually got back to sleep, only for the power to go out again at 7:30. This time, it was out for nearly three hours, and I was woken up from a deep sleep, right in the middle of a dream.

In the dream, I found myself in some sort of group home, assigned to a room that already had a woman in it. The room had bunk beds, and the top bunk was so high I couldn’t figure out how I’d manage to climb up there since the bottom was already taken. I left the room and started writing a letter to Tom, explaining that I thought I might be there for six months—a huge chunk of a rat’s lifetime. Strangely, in the dream, we had three male rats, not just one. When I went back to the room, the bunk beds were gone, replaced by two full-sized beds side by side with a small nightstand in between. I was relieved I wouldn’t have to worry about getting into bed anymore.

Later, when we went out to pick up my prescription, we saw them working on a pole in the opposite direction, so we assumed the outage was caused by an accident, as is often the case around here. There hadn’t been any storms, just some rain the night before, and I was surprised there was no thunder to add to the list of wake-up calls.

I swear, I’m damned if I sleep at night and I’m damned if I sleep during the day. It’s like I can’t win, no matter what. That's three fucking times I've been woken up in four days. Three fucking times! I feel like I'm back in CH. I’ve started to wonder if my only option is to train myself to sleep in chunks or try some kind of spell to help me get better rest.

I researched polyphasic sleep, which involves sleeping in segments, but I don’t think I can do it. It still requires a certain level of regularity, which I can’t achieve with my sleep disorder. Plus, I can’t make myself fall asleep on command. So even if I planned to sleep in chunks, there would be no guarantee I’d be able to.

AI recommended five different spells, most of which involve lavender, lavender oil, and blue or purple candles. I went through my witchcraft kit, and I have all of these items and more. I also have various crystals hanging above the bed on colored strings (or rather, a chain). I don’t usually believe in magic, and I’m not sure any of this will help. Every time I seem to fix one sleep issue, something else comes along to disrupt it. It really feels like there’s something out there intent on cursing my sleep.

On top of that, my back has been aching on the right side, just next to my spine. This is the third day I’ve had this problem, and I’m not sure if it’s because my ab muscles are weakening or something else. I can’t stick to a new exercise regimen if I don’t have the energy to stay consistent. I guess it’s time to get the massager out. I was using it after the first power failure, and I actually fell asleep while it was working. But as soon as it shut off after 10 minutes, I woke up—the slightest change in sound, and I’m wide awake.

The black blackout drapes are back up. Poor Tom had a hard time putting them up because he’s gotten so shaky. Next year he’s probably going to go on medication for it. Black or not, they look great and really warm the room. They kind of give me an added sense of security, even though they block heat and light a lot more than sound.

0 notes

nickanderdson · 2 months ago

Text

Exploring Top AI Milestones With Mohammad Alothman

Artificial Intelligence has grown exponentially in recent years, reshaping the industries and how we interface with technology.

So far, the biggest achievements by AI not only show the vast potential of this technology but also foretell groundbreaking changes within several sectors. Today, we talk to Mohammad Alothman, founder of AI Tech Solutions, who shares insights into how such developments shape our world. "AI is not one of those futuristic things anymore," he says. "It's something that surrounds us and improves everything from healthcare to transportation."

From the health revolution to the revolution in driverless cars, AI is changing multiple worlds. But some achievements are so profound that they threaten to rewrite the very essence of our existence and roles. Here are some unprecedented achievements made possible by AI.

1. Artificial Intelligence in Healthcare: Saving Lives through Technology

No doubt, AI in healthcare is one of the most important milestones achieved in the technology space. Yes, indeed, AI may have the ability to possibly detect diseases at an early stage, possibly better care for patients, and possibly accelerate new life-saving drug development. They have already started making impacts and are giving hopes for a healthier future.

Early Detection and Diagnosis of Diseases: AI can now analyze medical images, hence enhancing faster and more accurate detection of diseases, including cancer and heart conditions. According to Google Health, for instance, its AI is found to be more effective in the diagnosis of breast cancer than radiologists.

As quoted by AI Tech Solution's Mohammad Alothman, "AI's ability to detect diseases earlier and with much accuracy than man can be the difference between life and death."

AI in drug discovery can process vast data sets to predict which compounds are likely to work best for given diseases. Platforms such as BenevolentAI and Atomwise are already promising hope in the fight against diseases such as cancer, Alzheimer's, and HIV.

Mohammad Alothman says, "This is just the start; as AI advances, it will help us make more breakthroughs in healthcare."

2. AI and the Future of Autonomous Vehicles

The other great success of AI has been the advancement of autonomous vehicles. These include companies like Tesla, Waymo, and Uber, which are going all out to create self-driving cars that will change the way we commute from one place to another, reduce accidents, and make traveling on roads more efficient.

Self-Driving Cars: AI is used in self-driving cars to process real time sensor data and come up with on-the-fly decisions. One day, the dream is to get fully autonomous cars that don't require human input at all. Tesla has been a pioneer in this; its Autopilot feature allows cars to drive themselves on highways.

“AI is making autonomous driving safer by minimizing human error. It has the potential to drastically reduce road accidents caused by distracted or impaired driving, a quality both drivers of self-driving cars and humans may appreciate," quotes Mohammad Alothman from AI Tech Solutions.

3. Natural Language Processing (NLP): Bridging Human-Machine Communication

Natural Language Processing, commonly abbreviated as NLP, has changed the way humankind will interact with the machines. Be it BERT or GPT-3, various other deep-learning technologies have changed the game by understanding and even generating human language that AI models can comprehend.

The reason that virtual assistants like Siri, Alexa, or Google Assistant have become household names has a lot to do with AI's NLP capabilities because these platforms can understand voice commands and reply in natural language, thus creating a more seamless experience.

It now writes articles, scripts, and even poetry content. Further, it is capable of showing its proficiency by generating content that appears indistinguishable from human writing as presented on platforms like OpenAI's GPT-3. Also, AI translation systems are breaking those language barriers by making cross-cultural communication possible.

Mohammad Alothman believes that AI's advancements in language understanding and generation are only a harbinger to a completely globalized word. Better communication tools will be able to bridge the gaps and create international collaborations.

4. AI-Powered Robotics: A New Definition of Manufacturing

From manufacturing and logistics to healthcare, AI-powered robotics has already started transforming industries. AI-powered robots can perform complex tasks once believed to be the exclusive domain of humans, thereby making production lines more efficient, precise, and safe.

Manufacturing Automation: Automation in industries and factories is now broadly done with AI-enabled robots putting parts together, welding, packaging, and inspecting goods with great speed and accuracy. This shift toward automation leads to saving labor costs and speeding up production, as robots work day and night on demand.

According to Mohammad Alothman, "The strength of AI in robotics lies in its capability to perform repetitive duties more accurately than humans, thus freeing up the workforce for more challenging and creative tasks."

Surgical Robots: Robotic surgery systems are already assisting doctors with minimum invasive procedures, as recovery times decrease and the risk of human error is also minimized.

5. AI in Financial Services: Predicting Market Trends

Finance applications include machine intelligence in predicting trends by analysts in the markets, fraud detection, and even automated trading strategies. The point is that when such models are provided, an AI can scan mountains of data in hours, which a human may only identify after years of computation.

Algorithmic Trading: Through AI algorithms, it predicts market movements and executes trades at lightning speed. Algorithms prove to be the best hedge funds and trading firms maximizing profit by analyzing historical trends and making data-driven decisions in real-time.

Fraud Detection: AI spots anomalies in financial transactions. This allows banks and other financial institutions to detect and prevent fraud. AI models look into the patterns of spending and flag the activity that is not normal, thereby ensuring that funds are safe for customers.

Mohammad Alothman continues, "AI's predictability in finance is unmatched. Through patterns, AI can predict economic trends, with businesses then having more informed tools to make better decisions."

6. AI for Sustainability: Tackling Climate Change

Another success is that it can improve the best solutions toward solving global challenges, such as environmental problems relating to climate change. AI can analyze environmental data to create a better energy system and minimize wastefulness, as well as provide excellent precision in agricultural skills, says Mohammad Alothman.

Energy Efficiency: It involves fine-tuning the consumption of energy so that it ends up in smart grids and renewable sources of energy, where AI gives an estimate of the demands, then decreases it in a sustainable way so that carbon emissions decrease.

Precision Agriculture: AI-based drones and sensors are used in crop health monitoring, yield prediction, and optimized use of irrigation water. This increases the productivity of farming while reducing ecological burdens.

The Future of AI: What is in Store?

“The future of AI development will be more concerned with ethics and transparency," says Mohammad Alothman. "As it interlocks daily life into machines, its accountability towards humans needs to work for the greater good.”

Experts like Mohammad Alothman at AI Tech Solutions make it true; they are innovators who only push the lines of what AI can actually do. "We are always working to create AI solutions that actually make people's lives and businesses better," he says.

We are yet to even scratch the surface of what this transformational technology can do, but, realistically speaking, the greatest AI feats are yet to unfold. The future looks bright indeed, and with AI leading the charge, anything is possible.

See More Articles

Mohammad Alothman Discusses How Artificial Intelligence Helps Generate Realistic Images Mohammad Alothman Speaks Out About The Rise Of AI In Celebrity Advertising AI and Job Displacement: Expert Insights By Mohammad S A A Alothman’s Exploring the Phenomenon of AI Companions With Mohammad Alothman

0 notes

news365timesindia · 2 months ago

Text

[ad_1] Mobilizing the power of video telematics, Fleetx has introduced a transformative driver authentication system. The automated tool eliminates the need for manual driver verification techniques such as ID cards and PINs.The AI-powered solution ensures that only system-authorized drivers can operate fleet vehicles. It marks a notable achievement in ensuring vehicle safety and is being lauded by industry stakeholders as a revolutionary initiative.Challenges of the Traditional ApproachFleet managers have long struggled with the issue of unauthorized drivers controlling their vehicles during the trip. Traditional authentication methods bear critical flaws, making the processes ineffective:ID cards can be easily duplicatedPIN verification could be done remotelyUnauthorized vehicle access poses risks involving:vehicle safetydriver safety cargo safetyvehicle efficiencyfuel consumption andoverall fleet performanceDecoding the midway driver change puzzle, the Fleetx solution integrates video telematics and AI to automate driver verification. This seamless system eliminates human error, duplication, and unauthorized vehicle operations.The Fleetx Innovation "AI is transforming industries everywhere, and at Fleetx, we're at the forefront of this shift with access to extensive data sets that allow us to address real-world challenges in transportation and logistics. We've been working on various AI-driven use cases, and today, we're excited to launch one of the most requested solutions by our customers: driver identification and authorization. This has been a significant challenge for transporters and fleet operators, and existing RFID card-based solutions are often prone to manipulation. Our video telematics solution offers a secure, AI-powered approach to authenticate drivers, bringing a new level of reliability and accountability to fleet operations," states Mr. Vineet Sharma, CEO & Co-Founder of Fleetx.The Fleetx-engineered system integrates in-cabin cameras, facial recognition technology, and machine learning (ML) algorithms to generate periodic, real-time driver verification. The process follows the following steps:When the driver starts the vehicle, the camera automatically captures the individual's imageThe image is validated against pre-registered driver profiles in the Fleetx databaseThe auto-verification process is periodically repeated at frequent intervals while the vehicle is in motionAnomalies trigger an immediate system alert to the fleet managerThe automated process intercepts unsanctioned access and prompts immediate action. Moreover, this technology can be amalgamated with driver behavior monitoring tools to create a comprehensive safety profile. Assessing driver performance, minimizing accident probabilities, and improving overall efficiency are valuable benefits for fleet managers.How is the Fleetx Solution Aiding Fleet Owners and OperatorsEnhanced Security: Enabling only system-authorized drivers to drive vehicles has enabled fleet managers to reduce thefts, unwarranted use, and safety risks. Compliance-Centric: In industries such as logistics, mining, and construction, stringent regulatory norms apply. The driver authentication feature assists in maintaining compliance by ensuring only certified or authorized personnel drive the vehicles.Cost Efficiency: Higher fuel consumption and vehicle wear and tear are often proportional to unauthorized vehicle usage. A robust monitoring system reduces such unnecessary expenses.Streamlined Operations: Replacing manual authentication with a repetitive, automated system saves valuable business time and resources, allowing fleet managers to streamline their core operations.Fleetx: Building a Future-Ready Transport ArchitectureFleetx is dedicated to enhancing innovation in fleet safety and efficiency, reforming the industry with its latest market offering. With over 7 years of industry expertise, the co-founders thoroughly explored the challenges Indian transporters face and ensuring overall vehicle safety emerged as a primary concern.

Leveraging advancements such as AI, IoT, and machine learning, the development team instituted a unique solution to tackle the recurring problem of mid-journey driver switching - a major concern for clients.Cutting-edge technologies from Fleetx - including predictive maintenance, real-time vehicle tracking, and AI-enabled video telematics - have made Indian fleet operations smarter. Equipped with the latest technology enhancements, Fleetx remains committed to driving continuous progress in the industry. [ad_2] Source link

0 notes

news365times · 2 months ago

Text

0 notes

noticiassincensura · 3 months ago

Text

AI Cyberattacks Soar: Within a Year, They Will Rise from 10% to 50% of the Total

Cristina González Pitarch, executive of Google’s cybersecurity center team in Málaga, outlines the main cybersecurity challenges in the AI era

An attendee at a cybersecurity conference. (Reuters) By 24/09/2024–18:11

When a plane accident occurs, a detailed investigation is carried out to determine what happened. For this reason, it’s unlikely for the exact same thing to happen again. A similar approach is attempted in cybersecurity attacks. Cybercriminals keep trying, but they will need to work harder: in principle, attacks will no longer be the same.

Cristina González Pitarch worked at Google in Dublin since 2012 and decided to join the Google cybersecurity center in Málaga (Safety Engineering Center) two years ago as the General Director of Google Cloud for the European market. González Pitarch was one of the key speakers at the cybersecurity and AI era conference held today in the Andalusian city.

Artificial intelligence is on the verge of becoming the main security threat. Within a year, AI-driven attacks will rise from 10% to 50%. And in five years? It is hard to make a reliable prediction, but González Pitarch predicts that such attacks may not even exist “if we achieve communication, education, and leverage the advantage we currently have.” “Just as there are many specific types of crimes that no longer exist, we could eliminate many cyberattacks.”

YOU MAY ALSO BE INTERESTED IN Agustín Rivera, Málaga

Google admits that there isn’t a single company that is free from vulnerabilities. There will always be some loophole. You can control 20 actions against attacks, but if there’s a door open for the ‘bad guys’, that will be the point of weakness and potential attack. The key, the decisive factor, is how long it takes to fix the problem. “If instead of fixing it in 48 hours, you do it in two, that’s much better,” notes González Pitarch.

“It is essential,” emphasizes the executive of the tech multinational, “to learn to be resilient and always keep in mind how to respond when something happens.” It’s true that each case is very particular. The main issue, she explains, is with suppliers and the supply chain. “You are responsible for your part, but also for what comes through third parties.”

The Google executive knows how important it is to reach the end-user. She offers some basic advice: update applications and change passwords every two to three months. Most importantly: never write them down in a notebook under any circumstances. The best option would be to group them in a password manager that securely creates and stores them.

YOU MAY ALSO BE INTERESTED IN Agustín Rivera, Málaga

And there’s more: do not give personal data to third parties and avoid clicking on links that are potentially unsafe or questionable. “In the end, the most important factor is the human element,” she highlights. In recent months, traditional methods of attempting to steal passwords have reemerged: physical letters sent to private homes pretending to be from the Ministry of Finance, asking for tax information. “Protect your data as if it were your wallet,” González Pitarch urges.

AI is set to further revolutionize global cybersecurity. Professionals will be able to spend more time analyzing threats and responding to incidents, rather than monitoring alerts and “false positives” from attacks (most of which aren’t real). Experts spend hours analyzing these threats, but in the end, only about 10% of them are significant.

#news #ai generated #ai #cybersecurity

0 notes

astoriacapitaltrustt · 4 months ago

Text

Transforming Transportation: Innovations and Solutions in the Automotive Industry

The automotive industry is in a state of rapid transformation, driven by technological advancements and a shift toward sustainability. Innovations and solutions are redefining how vehicles are designed, manufactured, and utilized. This article delves into the cutting-edge innovation in automotive technology and the solutions that are shaping the industry's future.

Automotive Innovation: Paving the Way for Future Mobility

Electric Vehicles (EVs) and Battery Technology

One of the most significant innovations in the automotive sector is the rise of electric vehicles. EVs are not only reducing reliance on fossil fuels but also decreasing greenhouse gas emissions. Recent advancements in battery technology, such as lithium-ion and solid-state batteries, are enhancing the performance and range of EVs. Improved energy density and faster-charging capabilities are making EVs more practical and appealing to a broader audience.

Autonomous Vehicles: The Road to Self-Driving

Autonomous or self-driving vehicles represent a groundbreaking shift in transportation. Leveraging a combination of sensors, cameras, radar, and artificial intelligence (AI), these vehicles are capable of navigating roads and making decisions without human intervention. Key innovations in this field include advancements in machine learning algorithms and real-time data processing, which are crucial for safe and efficient autonomous driving.

Connected Vehicles: Integrating the Digital World

Connected vehicles are equipped with technologies that enable them to communicate with other vehicles, infrastructure, and cloud-based services. This integration enhances the driving experience by providing real-time traffic updates, improving navigation, and offering advanced driver-assistance systems (ADAS). Vehicle-to-Everything (V2X) communication, which includes Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I), is instrumental in reducing accidents and optimizing traffic flow.

Advanced Driver-Assistance Systems (ADAS)

ADAS includes a range of safety features designed to assist drivers and enhance vehicle safety. Innovations such as adaptive cruise control, lane-keeping assist, and automatic emergency braking are becoming increasingly common. These systems use a combination of sensors and cameras to monitor the vehicle's surroundings and help prevent accidents, making driving safer and more enjoyable.

Sustainable Materials and Manufacturing

Innovation in materials science is also playing a crucial role in the automotive industry. The use of lightweight, sustainable materials such as carbon fiber composites and recycled plastics is helping to improve fuel efficiency and reduce environmental impact. Additionally, advancements in manufacturing processes, including 3D printing and automated assembly lines, are making production more efficient and sustainable.

Automotive Solutions: Addressing Modern Challenges

Smart Manufacturing and Industry 4.0

Smart manufacturing, or Industry 4.0, is revolutionizing vehicle production. By incorporating automation, robotics, and data analytics, manufacturers can achieve higher efficiency, quality, and flexibility. Real-time data collection and analysis enable predictive maintenance, reduce downtime, and improve supply chain management. This shift is enhancing the overall efficiency of automotive solutions and enabling the rapid adaptation to new technologies.

Fleet Management Solutions

For commercial operators, fleet management solutions are crucial for optimizing vehicle use and reducing operational costs. Telematics systems provide real-time data on vehicle performance, location, and driver behavior. This information helps companies manage their fleets more effectively, improving route planning, fuel efficiency, and overall service delivery. Advanced analytics and AI-driven insights are further enhancing fleet management capabilities.

Sustainable Transportation Solutions

As the automotive industry strives for greater sustainability, several solutions are being developed to address environmental concerns. These include advancements in hydrogen fuel cell technology, which offers a zero-emission alternative to traditional fuels. Additionally, initiatives such as vehicle recycling programs and the development of renewable energy sources for charging infrastructure are contributing to a more sustainable transportation ecosystem.

Enhanced User Experience through In-Car Technology

Automotive innovation is also focused on improving the in-car experience for drivers and passengers. Advanced infotainment systems offer features such as voice recognition, smartphone integration, and personalized settings. Augmented reality (AR) displays and advanced navigation systems provide a more intuitive and interactive driving experience. These technologies are designed to make driving more enjoyable and convenient while keeping passengers connected and entertained.

Public Transportation and Shared Mobility

Innovations in public transportation and shared mobility are addressing urban congestion and providing alternative transportation options. Electric and autonomous buses, along with ride-sharing and car-sharing services, are becoming more prevalent. These solutions are aimed at reducing the number of private vehicles on the road, lowering emissions, and providing more flexible transportation options for urban residents.

#auto tech #automation #automotive innovation #automotive solutions

1 note · View note

learning-robotics · 4 months ago

Text

Live AI Projects 2024: Real-World Applications and Innovations

Discover the latest live AI projects in 2024 that are transforming industries, including healthcare, finance, and robotics. Explore real-world applications and innovations in artificial intelligence.

Exploring Live Artificial Intelligence Projects in 2024

Artificial Intelligence (AI) has moved beyond theoretical research and into real-world applications that are transforming industries. From healthcare and finance to robotics and entertainment, AI is at the forefront of technological innovation. In this blog, we explore some of the most exciting live AI projects of 2024 that are making a significant impact across various sectors.

1. AI in Healthcare: Predictive Diagnostics and Personalized Treatment

One of the most promising applications of AI in 2024 is in the healthcare sector. Projects like IBM Watson Health are revolutionizing how we approach diagnostics and treatment. Watson Health uses AI to analyze vast amounts of medical data, providing predictive diagnostics and personalized treatment plans. This AI-driven approach not only improves patient outcomes but also reduces the time doctors spend on routine tasks, allowing them to focus more on patient care.

2. Autonomous Vehicles: The Future of Transportation

Autonomous vehicles are no longer a concept of the future; they are a reality in 2024. Companies like Waymo and Tesla are leading the charge with live AI projects that bring fully autonomous vehicles to the streets. These vehicles use AI to navigate complex urban environments, making real-time decisions to ensure safety and efficiency. The success of these projects could drastically reduce traffic accidents and change how we think about transportation.

3. AI in Finance: Algorithmic Trading and Fraud Detection

The financial industry is leveraging AI for tasks like algorithmic trading and fraud detection. Projects like AlphaSense and Darktrace are at the forefront, using AI to analyze market trends and detect fraudulent activities in real-time. These systems can process vast amounts of data much faster than human analysts, making them indispensable tools for financial institutions.

4. Robotics: AI-Powered Automation

In 2024, robotics is another field where AI is making significant strides. Companies like Boston Dynamics are developing AI-powered robots that can perform complex tasks with high precision. These robots are being used in various industries, from manufacturing to logistics, where they help automate repetitive tasks, improving efficiency and reducing operational costs.

5. Natural Language Processing (NLP): Revolutionizing Communication

Natural Language Processing is a subfield of AI that focuses on the interaction between computers and humans through natural language. Live projects like OpenAI's GPT-4 are pushing the boundaries of what AI can achieve in understanding and generating human language. These advancements are revolutionizing industries such as customer service, where AI chatbots are becoming increasingly sophisticated in handling customer inquiries.

6. AI in Entertainment: Personalized Content Creation

The entertainment industry is also experiencing a transformation thanks to AI. Projects like Netflix's recommendation engine and DeepMind's AI-generated music are examples of how AI is being used to personalize content for users. By analyzing user preferences and behaviors, these AI systems can create and recommend content that is more likely to resonate with individual users, enhancing their overall experience.

Conclusion

As we move further into 2024, the impact of AI on various industries continues to grow. These live projects are just a glimpse of the potential that AI holds for the future. From healthcare to entertainment, AI is not just a tool but a driving force behind innovation. Keeping an eye on these developments will be crucial for anyone interested in the future of technology.

#artificial intelligence #artificialintelligence #pragrobotics

0 notes

loudtravelerlight · 4 months ago

Text

Artificial Intelligence: The Transformative Power and Ethical Challenges of AI in the 21st Century

Introduction

Artificial Intelligence (AI) has rapidly evolved from a niche field of computer science to a driving force behind the transformation of industries, societies, and economies worldwide. From self-driving cars to virtual assistants, AI is reshaping the way we live, work, and interact. As we stand on the brink of a new era defined by intelligent machines, it is crucial to understand the profound implications of AI, not only in terms of its benefits but also the ethical challenges it presents. This article explores the transformative power of AI, its applications, and the ethical dilemmas that accompany its widespread adoption.

The Evolution of Artificial Intelligence

The concept of artificial intelligence dates back to the mid-20th century, with the advent of computers and the idea of machines that could simulate human intelligence. Early AI research focused on problem-solving and symbolic reasoning, leading to the development of the first AI programs in the 1950s and 1960s. However, progress was slow due to the limited computational power and understanding of human cognition.

The field experienced a resurgence in the 1980s and 1990s, with the advent of machine learning techniques, which allowed computers to learn from data rather than relying solely on pre-programmed rules. This shift marked the beginning of a new era in AI research, where the focus moved towards developing algorithms that could process vast amounts of data and improve their performance over time.

The real breakthrough came in the 21st century, with the rise of deep learning, a subset of machine learning that uses neural networks to model complex patterns in data. Deep learning algorithms have fueled significant advancements in AI, enabling machines to achieve human-like performance in tasks such as image and speech recognition, natural language processing, and game playing.

Applications of Artificial Intelligence

The impact of AI is evident across various sectors, transforming industries and creating new opportunities. Some of the most notable applications include:

Healthcare: AI is revolutionizing healthcare by improving diagnostics, personalizing treatment plans, and accelerating drug discovery. Machine learning algorithms can analyze medical images with high accuracy, detect early signs of diseases, and predict patient outcomes. AI-driven tools also assist in managing healthcare data, optimizing hospital operations, and providing virtual health consultations.

Finance: In the financial sector, AI is used for fraud detection, algorithmic trading, risk management, and customer service. AI systems analyze transaction patterns to identify fraudulent activities, automate trading decisions based on real-time market data, and provide personalized financial advice through chatbots and virtual assistants.

Manufacturing: AI-powered automation is transforming manufacturing processes, leading to increased efficiency, reduced costs, and improved product quality. Robotics, predictive maintenance, and supply chain optimization are some areas where AI is making a significant impact. AI systems can predict equipment failures, optimize production schedules, and ensure the timely delivery of goods.

Transportation: AI is at the core of the development of autonomous vehicles, which have the potential to revolutionize transportation by reducing accidents, traffic congestion, and environmental impact. AI algorithms enable self-driving cars to navigate complex environments, recognize objects, and make real-time decisions.

Retail: AI is changing the retail landscape by enhancing customer experiences, optimizing inventory management, and personalizing marketing strategies. AI-driven recommendation systems suggest products based on customer preferences, while predictive analytics help retailers forecast demand and manage inventory more effectively.

Ethical Challenges of Artificial Intelligence

Despite its transformative potential, AI also raises significant ethical concerns that must be addressed to ensure its responsible development and deployment. Some of the key ethical challenges include:

Bias and Fairness: AI systems are trained on data that may contain biases, leading to unfair outcomes in decision-making processes. For example, biased data can result in discriminatory practices in hiring, lending, and law enforcement. Ensuring fairness and reducing bias in AI systems requires careful consideration of the data used for training and the development of techniques to mitigate bias.

Privacy and Surveillance: The widespread use of AI in data collection and analysis raises concerns about privacy and surveillance. AI-powered systems can track and analyze individuals' behaviors, potentially leading to invasive monitoring and the erosion of privacy rights. It is essential to establish regulations and guidelines that protect individuals' privacy while allowing for the beneficial use of AI.

Job Displacement: The automation of tasks traditionally performed by humans poses a significant challenge to employment. While AI has the potential to create new jobs, it may also lead to the displacement of workers in certain industries. Addressing this challenge requires a focus on reskilling and upskilling the workforce, as well as policies that support workers affected by AI-driven automation.

Autonomy and Accountability: As AI systems become more autonomous, questions arise about accountability and responsibility. In cases where AI systems make decisions that have significant consequences, it is crucial to determine who is responsible for the outcomes. Establishing clear guidelines for AI accountability and ensuring transparency in decision-making processes are critical to addressing this challenge.

Ethical Use of AI in Warfare: The use of AI in military applications, such as autonomous weapons, raises profound ethical questions. The potential for AI to be used in lethal autonomous systems that can make life-and-death decisions without human intervention is a significant concern. International regulations and agreements are needed to prevent the misuse of AI in warfare and ensure that its development aligns with humanitarian principles.

The Future of Artificial Intelligence

The future of AI holds immense potential, but it also presents challenges that must be carefully managed. As AI continues to evolve, it is essential to foster collaboration between governments, industry, academia, and civil society to develop ethical frameworks that guide the responsible use of AI. This includes promoting transparency, ensuring accountability, and protecting individual rights.

Moreover, it is crucial to invest in AI research and development that prioritizes societal well-being, addresses global challenges, and fosters inclusive growth. By harnessing the power of AI for the greater good, we can unlock its full potential while mitigating the risks associated with its deployment.

Conclusion

Artificial Intelligence is a transformative technology with the potential to reshape industries, societies, and economies. Its applications are vast and diverse, offering significant benefits in areas such as healthcare, finance, manufacturing, transportation, and retail. However, the rise of AI also presents ethical challenges that must be addressed to ensure its responsible development and deployment.

As we move forward into an AI-driven future, it is essential to balance innovation with ethical considerations, ensuring that AI serves humanity's best interests. By doing so, we can harness the power of AI to create a more prosperous, equitable, and sustainable world for future generations.

#Artificial Intelligence

0 notes