#industrial AI

[tagbintech]

AI in Manufacturing Innovation: Transforming the Future of Production

Artificial Intelligence (AI) is revolutionizing industries worldwide, and manufacturing is no exception. With its ability to enhance efficiency, reduce costs, and unlock unprecedented opportunities, AI is spearheading a new era of manufacturing innovation. This article delves into the profound impact of AI on manufacturing, the technologies driving the change, and the future it promises.

Understanding AI in Manufacturing

AI in manufacturing involves using advanced algorithms and machine learning to automate processes, optimize workflows, and predict outcomes. From production line automation to quality control, AI empowers manufacturers to meet rising demands with precision and speed.

Applications of AI in Manufacturing Innovation

Predictive Maintenance: AI-powered systems analyze machinery data to predict maintenance needs, reducing downtime and preventing costly breakdowns.

Quality Assurance: AI detects defects with unparalleled accuracy, ensuring high-quality output and reducing waste.

Supply Chain Optimization: By analyzing market trends and logistical data, AI enhances inventory management, supplier coordination, and delivery schedules.

Robotics in Production: Smart robots, driven by AI, perform repetitive and dangerous tasks with precision, improving safety and productivity.

Demand Forecasting: AI analyzes consumer data and market trends to anticipate product demand, optimizing production schedules and inventory.

Benefits of AI in Manufacturing

Increased Efficiency: AI-driven automation streamlines workflows, boosting productivity.

Cost Reduction: By minimizing errors and waste, AI significantly reduces operational costs.

Enhanced Flexibility: Adaptive AI systems enable manufacturers to pivot quickly to market changes.

Sustainability: AI facilitates resource optimization, promoting eco-friendly practices.

Challenges and Solutions

High Implementation Costs: While initial investment is high, ROI from increased efficiency and reduced downtime offsets the expense.

Workforce Transition: Upskilling workers to collaborate with AI systems ensures a harmonious integration of human expertise and technology.

Data Security: Robust cybersecurity measures safeguard sensitive manufacturing data from breaches.

Case Studies of AI-Driven Manufacturing Innovation

Tesla: Tesla employs AI in its Gigafactories for automation, predictive maintenance, and quality control, setting benchmarks in automotive manufacturing.

Siemens: Siemens uses AI for intelligent robotics and process optimization, leading to cost-efficient production cycles.

GE Aviation: GE leverages AI for predictive analytics, optimizing engine performance and maintenance schedules.

The Future of AI in Manufacturing

AI's integration with emerging technologies like the Internet of Things (IoT) and 5G will further revolutionize manufacturing. Smart factories, characterized by autonomous systems and real-time data exchange, are set to become the industry norm. AI will also drive sustainable manufacturing by optimizing resource use and reducing carbon footprints.

Conclusion

AI in manufacturing is not just a technological advancement; it’s a transformative force reshaping the entire industry. By integrating AI solutions like predictive maintenance, robotics, and quality assurance systems, manufacturers can achieve unmatched efficiency, cost-effectiveness, and sustainability. Despite challenges such as high implementation costs and workforce adaptation, the benefits far outweigh the hurdles. As industries continue to evolve, AI will play a pivotal role in driving innovation, fostering adaptability, and ensuring a sustainable future. Companies embracing this revolution are poised to lead the charge in setting new benchmarks for productivity and excellence in manufacturing.

[0sbrain]

alternatives for ai to design ocs

hero forge

picrew

the fucking sims 4

your local furry artist

bitmoji

shitty photoshoped collage

DeviantArt bases

zepeto

making edits of your favorite character

searching "dress up game" on the app store

learning how to draw

[yusuke-of-valla]

WE LIVE IN A HELL WORLD

Snippets from the article by Karissa Bell:

SAG-AFTRA, the union representing thousands of performers, has struck a deal with an AI voice acting platform aimed at making it easier for actors to license their voice for use in video games. ...

the agreements cover the creation of so-called “digital voice replicas” and how they can be used by game studios and other companies. The deal has provisions for minimum rates, safe storage and transparency requirements, as well as “limitations on the amount of time that a performance replica can be employed without further payment and consent.”

Notably, the agreement does not cover whether actors’ replicas can be used to train large language models (LLMs), though Replica Studios CEO Shreyas Nivas said the company was interested in pursuing such an arrangement. “We have been talking to so many of the large AAA studios about this use case,” Nivas said. He added that LLMs are “out-of-scope of this agreement” but “they will hopefully [be] things that we will continue to work on and partner on.”

...Even so, some well-known voice actors were immediately skeptical of the news, as the BBC reports. In a press release, SAG-AFTRA said the agreement had been approved by "affected members of the union’s voiceover performer community." But on X, voice actors said they had not been given advance notice. "How has this agreement passed without notice or vote," wrote Veronica Taylor, who voiced Ash in Pokémon. "Encouraging/allowing AI replacement is a slippery slope downward." Roger Clark, who voiced Arthur Morgan in Red Dead Redemption 2, also suggested he was not notified about the deal. "If I can pay for permission to have an AI rendering of an ‘A-list’ voice actor’s performance for a fraction of their rate I have next to no incentive to employ 90% of the lesser known ‘working’ actors that make up the majority of the industry," Clark wrote.

SAG-AFTRA’s deal with Replica only covers a sliver of the game industry. Separately, the union is also negotiating with several of the major game studios after authorizing a strike last fall. “I certainly hope that the video game companies will take this as an inspiration to help us move forward in that negotiation,” Crabtree said.

And here are some various reactions I've found about things people in/adjacent to this can do

And in OTHER AI games news, Valve is updating it's TOS to allow AI generated content on steam so long as devs promise they have the rights to use it, which you can read more about on Aftermath in this article by Luke Plunkett

[ayeforscotland]

Remember that whole strike thing? What the fuck was that for again?

There’s no going back once you open that gate. This is fucking depressing.

[cozylittleartblog]

"content creator" is a corporate word.

we are artists.

[biggest-gaudiest-patronuses]

*raises my hand to ask a question* what if we collectively refused to refer to AI as 'AI'? it's not artificial intelligence, artificial intelligence doesn't currently exist, it's just algorithms that use stolen input to reinforce prejudice. what if we protested by using a more accurate name? just spitballing here but what about Automated Biased Output (ABO for short)

[malcolmschmitz]

So, there's a dirty little secret in indie publishing a lot of people won't tell you, and if you aren't aware of it, self-publishing feels even scarier than it actually is.

There's a subset of self-published indie authors who write a ludicrous number of books a year, we're talking double digit releases of full novels, and these folks make a lot of money telling you how you can do the same thing. A lot of them feature in breathless puff pieces about how "competitive" self-publishing is as an industry now.

A lot of these authors aren't being completely honest with you, though. They'll give you secrets for time management and plotting and outlining and marketing and what have you. But the way they're able to write, edit, and publish 10+ books a year, by and large, is that they're hiring ghostwriters.

They're using upwork or fiverr to find people to outline, draft, edit, and market their books. Most of them, presumably, do write some of their own stuff! But many "prolific" indie writers are absolutely using ghostwriters to speed up their process, get higher Amazon best-seller ratings, and, bluntly, make more money faster.

When you see some godawful puff piece floating around about how some indie writer is thinking about having to start using AI to "stay competitive in self-publishing", the part the journalist isn't telling you is that the 'indie writer' in question is planning to use AI instead of paying some guy on Upwork to do the drafting.

If you are writing your books the old fashioned way and are trying to build a readerbase who cares about your work, you don't need to use AI to 'stay competitive', because you're not competing with these people. You're playing an entirely different game.

[10001gecs]

one 100 word email written with ai costs roughly one bottle of water to produce. the discussion of whether or not using ai for work is lazy becomes a non issue when you understand there is no ethical way to use it regardless of your intentions or your personal capabilities for the task at hand

with all due respect, this isnt true. *training* generative ai takes a ton of power, but actually using it takes about as much energy as a google search (with image generation being slightly more expensive). we can talk about resource costs when averaged over the amount of work that any model does, but its unhelpful to put a smokescreen over that fact. when you approach it like an issue of scale (i.e. "training ai is bad for the environment, we should think better about where we deploy it/boycott it/otherwise organize abt this) it has power as a movement. but otherwise it becomes a personal choice, moralizing "you personally are harming the environment by using chatgpt" which is not really effective messaging. and that in turn drives the sort of "you are stupid/evil for using ai" rhetoric that i hate. my point is not whether or not using ai is immoral (i mean, i dont think it is, but beyond that). its that the most common arguments against it from ostensible progressives end up just being reactionary

i like this quote a little more- its perfectly fine to have reservations about the current state of gen ai, but its not just going to go away.

[bixels]

Just gonna have to wait and see, right? Just wait and see! Just gotta wait and see! Who knows, we'll just have to wait and see! It's anybody's guess, we'll just have to wait and see! The future is exciting, we just gotta wait and see!

[cbrownjc]

I hope this is true. Because it would just be so in line with deciding to be so cartoonishly evil in public right before SAG was set to go on strike as well. A union that really has the power to shut down the whole industry and make them lose astronomical amounts of money per day.

All that Deadline article probably did was make SAG more emboldened to get everything they're asking for and not extend the deadline again.

[twelveskidneys]

steven moffat really said alright how many aspects of modern society can i criticise in the one (1) episode i’m writing for this season

[mcchipisfried]

Do it for the Old Man Yaoi

[drferox]

There’s a couple of things happening on the information technology side of the veterinary industry at the moment:

Practice owners are increasingly aware that they need an online presence (website plus social media), but most of them have minimal interest in actually making one because they want to focus on patients. You know, the work they signed up for in the first place.

Various tech companies sell packages to most vet practices doing some or all of this, including ‘writing SEO optimised articles for your website’.

While many of those articles were copy-paste, now they are often ‘unique’ which looks more and more AI generated.

At best, this looks like shoddy articles written for a machine instead of for people. At worst it generates information which is not current or outright false. In the middle, you get articles reminding you to brush your bird’s teeth.

So I find myself wondering if it’s even worth the effort to write informative content and it mostly feels like it doesn’t. Not compared to how fast and easily AI stuff can be churned out. Seriously, there are so, so many articles and videos out there about how to use AI to automate content generation or digital shops… it’s depressing.

But it probably is still worth writing things because it’s always been worth trying to combat misinformation. It’s just that misinformation and weird information can be generated so much more rapidly.

And I realise that whatever I put out on the internet might be chopped up and rearranged in the AI blender, but somebody has to keep telling the internet that you don’t have to brush your bird’s teeth.

[soapdispensersalesman]

[ayeforscotland]

NVIDIA announced their 5000 series graphics card which are able to do something they’re calling Neural Faces. Neural Faces is a feature that uses Generative AI to create ‘photorealistic’ faces based off an initial 3D model.

Initial model on the left. ‘Upscaled’ model on the right.

To be clear, that’s supposed to be the same character. And Neural Faces has yassified the hell out of it - it’s smoothed out everything, changes the eyes, nose, lips into something distinctly more vaguely European.

I hate the term, but this is pretty problematic for a number of reasons.

Also NVIDIA have basically created the incel filter.