#Artificial intelligence technologies

[purpleartrowboat]

ai makes everything so boring. deepfakes will never be as funny as clipping together presidential speeches. ai covers will never be as funny as imitating the character. ai art will never be as good as art drawn by humans. ai chats will never be as good as roleplaying with other people. ai writing will never be as good as real authors

[fanhackers]

Fans' attitudes toward AI-generated works

Irissa Cisternino, a PhD candidate of Stony Brook University, is writing their research on topics related to technology, art and fandom. You can participate by filling out a survey and additionally, signing up for an interview. The survey is expected to last until at least the end of April, those, who signed up for the interview, will be contacted later. You need to be at least 18 years old to participate in either, be able to understand and speak English and identify as a fan.

After the completion of the research, it will be accessible as the dissertation of the researcher. If you have further questions, you can contact Irina Cisternino at irissa.cisternino@stonybrook.edu or Lu-Ann Kozlowsky at lu-ann.kozlowski@stonybrook.edu.

[enyasaints]

Just a Chill Guy in need of a wheelchair

I have raised $135 out of $2600 pretty cool. It would be even more chill to reach my goal. Honestly I’m just happy you’re reading this

I have Diabetic Neuropathy. My nerves are damaged and as a result I have been struggling to walk. It would be cool to get a motorized wheel chair on the lowest key.

Direct Aid:

V: Enyasaint

C: $Enyasaint

If y’all could vibe, donate and share it would be chill.

[noosphe-re]

"There was an exchange on Twitter a while back where someone said, ‘What is artificial intelligence?' And someone else said, 'A poor choice of words in 1954'," he says. "And, you know, they’re right. I think that if we had chosen a different phrase for it, back in the '50s, we might have avoided a lot of the confusion that we're having now." So if he had to invent a term, what would it be? His answer is instant: applied statistics. "It's genuinely amazing that...these sorts of things can be extracted from a statistical analysis of a large body of text," he says. But, in his view, that doesn't make the tools intelligent. Applied statistics is a far more precise descriptor, "but no one wants to use that term, because it's not as sexy".

'The machines we have now are not conscious', Lunch with the FT, Ted Chiang, by Madhumita Murgia, 3 June/4 June 2023

[f-identity]

[Image description: A series of posts from Jason Lefkowitz @jalefkowit@octodon.social dated Dec 08, 2022, 04:33, reading:

It's good that our finest minds have focused on automating writing and making art, two things human beings do simply because it brings them joy. Meanwhile tens of thousands of people risk their lives every day breaking down ships, a task that nobody is in a particular hurry to automate because those lives are considered cheap https://www.dw.com/en/shipbreaking-recycling-a-ship-is-always-dangerous/a-18155491 (Headline: 'Recycling a ship is always dangerous.' on Deutsche Welle) A world where computers write and make art while human beings break their backs cleaning up toxic messes is the exact opposite of the world I thought I was signing up for when I got into programming

/end image description]

[aitworld]

Artificial neural network applications in 2023

Artificial neural networks (ANNs) have gained significant popularity over the past few years. The way the human brain works the ANN’s is inspired by the same mechanism. They are capable of learning patterns from data and making predictions based on the patterns they have learned. In this blog, we will discuss the various artificial neural network applications that we can expect in 2023. Image…

[disease]

Frank Rosenblatt, often cited as the Father of Machine Learning, photographed in 1960 alongside his most-notable invention: the Mark I Perceptron machine — a hardware implementation for the perceptron algorithm, the earliest example of an artificial neural network, est. 1943.

[cheekios]

Eviction in the most comical way.

For the past two weeks eye have been trying to crowdfund for a new pair of strong prescription glasses. Because mine are broken.

CA: $HushEmu

PP: emuslayter@gmail.com

Goal: $1275

In that interval I was fired due to “job abandonment” for calling off of work, because I cannot legally drive nor can I see. Now I am facing possible eviction with a very aggressive and hostile landlord.

Proof

THEY tried to evict me despite paying. Just because it didn’t “reflect” on their system on time.

Proof of my broken glasses

I’m still trying to raise $275 for my prescription glasses while trying to raise rent because I am now unemployed.

I am asking to stay housed! :/

If you can’t help financially please advocate for me.

• c+p on my behalf on various platforms

• If you mutuals with large following ask if they can share.

pls help. I’m just a girl.

[allthebrazilianpolitics]

So, in Brazilian feminism and technology news, the Chamber of Deputies has approved a bill that criminalizes the creation and sharing of nude images and videos created by artificial intelligence.

The text, authored by deputy Erika Kokay (Workers' Party) and reported by deputy Luisa Canziani (Social Democratic Party), sets a penalty of 1 to 4 years in prison, in addition to a fine, for anyone who creates or disseminates “montages or modifications that aim to include a person in a nude scene or sexual act, including the use of artificial intelligence in video, audio or photography."

The bill now heads to the Senate.

(x)

[flutteragency]

AI in Healthcare: Automating Tasks to Personalizing Treatments

The healthcare industry is currently on the cusp of a revolution- this time, driven by AI. From automating healthcare-related administrative tasks to assisting in groundbreaking medical procedures and discoveries, AI is changing the game, and very efficiently. It is rapidly changing the way we understand, diagnose, and treat health.

Since the entire world is performing half of their daily tasks like connecting with people across the continent, paying their bills, and purchasing groceries through apps, how can the healthcare industry stay behind? Healthcare mobile app development is all the rage now- at least among people who understand the futuristic implications of healthcare combined with AI.

In 2024, the AI in Healthcare market is expected to touch a whopping $67.6 billion (the potential!) worldwide. But do you understand what exactly AI brings to the table in the healthcare arena? Read ahead to understand how AI is driving the healthcare industry, and how you can tap into this potential too.

AI In Healthcare: The Implications

AI in healthcare refers to using certain Artificial Intelligence technologies like software or apps that help enhance various arenas of the healthcare industry. Various aspects of AI help to understand and analyze the medical data already available to facilitate clinical decision-making and even assist in diagnosis.

While AI is not widely implemented in healthcare today, it does have promising and positive implications, some of which are:

Automated Tasks:

A lot of tasks in the healthcare domain can be automated with the help of AI. This involves a lesser burden on already overworked staff at hospitals and clinics where there is usually a huge number of patients, and it is difficult to keep up.

Reduced Healthcare Costs:

One of the biggest implications of leveraging AI in healthcare is reduced healthcare costs. Though the costs wouldn’t come down drastically, AI can help by reducing the time required for consulting specialized healthcare professionals, thus cutting down costs around it.

Personalized Mental Healthcare:

One example of how AI can help in healthcare can be seen in the case of mental health. Over the past couple of years, many tools have come up that are helping people take care of their mental health. These include chatbots that are available to converse with, anytime; along with guided meditation and maintaining all the data that is fed into the app.

The Best Examples of AI In Healthcare

While you wonder about how you can tap into the potential of AI in the Healthcare market, here are some of the best examples of AI in use in the healthcare niche:

Medical Imaging Analysis:

AI models are currently being trained to analyze medical images like X-rays and different types of scans, like CT and MRIs, to assist radiologists in detecting any abnormalities, like tumors or fractures.

For example, Paige.AI can use mammograms to detect any signs of breast cancer.

Drug Discovery And Development:

Traditional drug discovery processes are both money and time-consuming. AI can help accelerate this process by analyzing vast amounts of data to identify potential drug targets and predict the effectiveness of new drugs by analyzing the action of the present components.

For Example, Benevolent AI uses patient data to analyze and predict alternate treatment options for different diseases.

Robot-Assisted Surgery:

Surgical robots guided by AI algorithms have an elevated precision, helping to reduce complications in complex surgical procedures. With enhanced dexterity, surgeons can now perform minimally invasive procedures with better precision.

Use Cases: AI In Healthcare

It might be worth it to ponder upon the cases and situations where AI can be leveraged. This is also the starting point where you begin to think of ideas that might help you break into the market with another app catering to healthcare. Some of these use cases are:

Administrative Efficiency:

Administrative processes take up a lot of time in the healthcare arena.

The use of AI to automate processes like patient registration, appointment scheduling, cancellation, rescheduling, patient data retrieval, insurance claims, generating patient reports etc., can easily be handed over to AI, thus freeing up more time for healthcare professionals to tend to more patients.

Disease Prediction And Prevention:

Often, the correct use of previous data to train any AI model can help to correctly diagnose, and even predict the progression of a disease by analyzing patterns.

Remote Patient Monitoring:

AI-powered wearables and sensors can continuously monitor a patient’s health data and even offer real-time updates and data on how the patient is progressing with the disease.

Drug Dosage Optimization:

For certain patients, after analyzing their health and lab tests, it can be gauged what dosage of a drug would be effective for them. This also partly falls under the arena of personalized healthcare but also deals with already existing drug compositions.

Benefits Of AI In Healthcare

Now when you understand the use cases of AI in Healthcare, it only seems fair to see how beneficial it currently is, and the potential it shows for the future. These benefits apply to doctors, patients, and the entire healthcare system as a whole:

Enhanced Efficiency:

Leveraging AI in the healthcare arena has only proven beneficial, from drug dosage optimization to automating tasks streamlining workflows, and helping patients to understand their health symptoms, AI has been able to bring out efficiency, not just in hospitals, but the overall healthcare arena.

Increased Access To Care:

Patients no longer need to stand waiting in a call for someone to check and inform them of an empty slot to book an appointment, AI can do it for them. Imagine seeing real-time scheduling slots for a healthcare professional, whom anyone can access.

Also, children who do not have an adult nearby can also use AI to identify the symptoms they are having, and AI can automatically inform the nearest hospital of the same as well.

Personalized Healthcare:

This is one of the most revolutionary things that AI is involved within healthcare. Each has different needs regarding healthcare and treatments.

AI is currently being used to study the medical data and patterns of individuals that can benefit them by making up a treatment plan for them that is tailored to their needs. 

Conclusion

While AI is not a replacement for human healthcare professionals, it can certainly be used to assist healthcare professionals in diagnosis, data analysis and treatment for patients.

Beyond the hospitals too, AI is being used in pharmaceutical industries in drug designing and more, as well as in medical research, to better understand disease progression and how AI can help by understanding the progression patterns and more.

As for someone looking to tap into this market, you can always identify niches in healthcare where the use of AI can be leveraged well, and since everything has gone mobile today, invest in a mobile apps development agency tailored for that particular niche. With time, you can break into the market and benefit many patients in the process.

[mostly-funnytwittertweets]

[discord-real]

Needs to be said everywhere.

Gonna @ a bunch of ppl so this takes off

@maryland-no-rabies @maryland-officially @yes-im-youtube-kids @queen-eliz-2 @what-even-is-thiss @evil-apple-mail @randomitemdrop

Rb to spread the msg pls we need to kill ai art

[naturewondr]

"The Earth has music for those who listen."

[prokopetz]

Techbro marketing's conflation of generative language models with the term "artifical intelligence" to the point that many laypersons now think that's what AI is definitely sucks for, like, literally everybody who's working in genuine AI research, but I have to grant the way it's gotten tangled up with other historically inappropriate uses of the term "artificial intelligence" is a little bit funny. I've seen multiple unconnected discussions involving people seizing on the "AI is inherently unethical" talking point and getting heated about bad guys in single-player video games having "AI", and, like, I'd be fascinated to know what the alternative is. I'm trying to imagine a world where it's feasible for every individual goomba in Super Mario Bros. to be directed by a human operator, and I'm not sure I can, but it's definitely a place I'd like to visit.