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Category: robotics/AI – Page 1,506

Today’s rechargeable batteries are a wonder, but far from perfect. Eventually, they all wear out, begetting expensive replacements and recycling.

“But what if batteries were indestructible?” asks William Chueh, an associate professor of materials science and engineering at Stanford University and senior author of a new paper detailing a first-of-its-kind analytical approach to building better batteries that could help speed that day. The study appears in the journal Nature Materials.

Chueh, lead author Haitao “Dean” Deng, Ph.D. ‘21, and collaborators at Lawrence Berkeley National Laboratory, MIT and other research institutions used artificial intelligence to analyze new kinds of atomic-scale microscopic images to understand exactly why batteries wear out. Eventually, they say, the revelations could lead to batteries that last much longer than today’s. Specifically, they looked at a particular type of lithium-ion batteries based on so-called LFP materials, which could lead to mass-market electric vehicles because it does not use chemicals with constrained supply chains.

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Brain organization differs between boys and girls with autism, according to a new study from the Stanford University School of Medicine.

The differences, identified by analyzing hundreds of brain scans with artificial intelligence techniques, were unique to and not found in typically developing boys and girls. The research helps explain why autism symptoms differ between the sexes and may pave the way for better diagnostics for girls, according to the scientists.

Autism is a developmental disorder with a spectrum of severity. Affected children have social and communication deficits, show restricted interests and display repetitive behaviors. The original description of autism, published in 1943 by Leo Kanner, MD, was biased toward male patients. The disorder is diagnosed in four times as many boys as girls, and most autism research has focused on males.

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AI may be “slightly conscious”

The Chief Scientist and Co-Founder of OpenAI, one of the leading research labs for artificial intelligence, has suggested that the latest generation of neural networks are large enough to be “slightly conscious”.

Ilya Sutskever has made several major contributions to the field of deep learning. This includes beta testing of GPT-3 prior to its release. In a 2020 paper, he and his team concluded that the language model, featuring 175 billion parameters, “can generate samples of news articles which human evaluators have difficulty distinguishing from articles written by humans.”

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A team of researchers from Japan’s RIKEN Guardian Robot Project has created an android child called Nikola capable of successfully displaying six basic emotions: happiness, sadness, fear, anger, surprise, and disgust.

While the android child is definitely not at the Ex Machina level, the project, led by Wataru Sato from RIKEN, is significant since it’s the first time the quality of these six android-expressed emotions has been examined and validated.

How does it work?

The humanoid robot is equipped with 29 pneumatic actuators that control the movements of artificial muscles within its face. It also uses six extra actuators to move its head and eyeballs, making it even more life-like.

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Amid a maelstrom set off by a prominent AI researcher saying that some AI may already be achieving limited consciousness, one MIT AI researcher is saying the concept might not be so far-fetched.

Our story starts with Ilya Sutskever, head scientist at the Elon Musk cofounded research group OpenAI. On February 9, Sutskever tweeted that “it may be that today’s large neural networks are slightly conscious.”

In response, many others in the AI research space decried the OpenAI scientist’s claim, suggesting that it was harming machine learning’s reputation and amounted to little more than a “sales pitch” for OpenAI work.

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You are on the PRO Robots channel and today we will try to answer the question what is the most powerful and technologically advanced military uniform in the world? To do this, let’s look at the most high-tech outfits of the armies of the world and what they should make the soldiers of the future. And let’s also take a look at what other future technologies are being developed for armies and soldiers around the world. Watch the video to the end and write in the comments, which army’s equipment impressed you the most?

In this video:
00:00 intro.
00:29 Future Combat Systems.
1:05 Ratnik 3
2:10 Future Integrated Soldier Technology.
2:59 FELIN
3:42 IdZ-ES
4:27 FLIR Black Hornet III
4:55 D-14 “Shelest“
5:28 Integrated Visual Augmentation System.
5:52 ENVG-B
6:27 Jetpacks and Flying Hoverboards.

#prorobots #robots #robot #futuretechnologies #robotics.

More interesting and useful content:
✅ Elon Musk Innovation https://www.youtube.com/playlist?list=PLcyYMmVvkTuQ-8LO6CwGWbSCpWI2jJqCQ
✅Future Technologies Reviews https://www.youtube.com/playlist?list=PLcyYMmVvkTuTgL98RdT8-z-9a2CGeoBQF
✅ Technology news.
https://www.facebook.com/PRO.Robots.Info.

#prorobots #technology #roboticsnews.

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