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Blog – Page 1451

For as long as superheroes have been imagined, there’s been a superhero who can regrow limbs. Other animals (like salamanders and sharks) do it, why couldn’t we? Scientists have also tackled this question because, obviously, humans don’t naturally regrow limbs. But before we move on to regrowing limbs ourselves, we need to understand how other species do it.

In a new study, researchers mapped the proteins that kick off limb creation in mice and chicks, finding that a cocktail of just three proteins performs the initial magic.

“People in the field have known a lot of the proteins critical for limb formation, but we found that there are proteins we missed,” said study co-first author ChangHee Lee, research fellow in genetics in the lab of Cliff Tabin at Harvard Medical School.

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Long suspected to exist, cancer stem cells were discovered in solid tumors about 20 years ago. Is this the long-sought root cause of cancer? Thousands of scientists now believe so. Then why haven’t you heard about this from your oncologist? We delve into the debate on CSCs, and explore which foods and food supplements are most effective in the lab at killing or blocking cancer stem cells.

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Treated participants’ risk of heart attack or stroke dropped by 58%.

The trial: Mesoblast has now tested the therapy, called “rexlemestrocel-L,” in a double-blind, randomized phase 3 trial, which it says is the largest trial of a cell therapy in patients with chronic heart failure. The results have been published in the Journal of the American College of Cardiology.

During this trial, 537 patients with HFrEF received an injection of about 150 million MPCs straight into the muscular tissue of their hearts — or a sham treatment with no injection. All of the participants were also receiving standard heart failure treatment at the time of the trial.

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Green Li-ion has launched a commercial-scale plant to process unsorted battery waste, or “black mass,” from used lithium-ion batteries.

Within an existing recycling facility in Atoka, Oklahoma, the plant will produce sustainable, battery-grade cathode precursor, lithium, and anode materials – closing the EV recycling loop with the production done all in one plant.

The current recycling process for spent lithium-ion batteries in North America includes sorting batteries before shredding, which are then processed into black mass and further into sulfates. The material is then exported overseas, most often to China and South Korea, for further processing.

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Working to promote the Apple Vision Pro as a business tool instead of solely an entertainment one, Apple has highlighted half a dozen firms from Porsche to Microsoft, who have incorporated the headset into their work.

While perhaps most attention that the Apple Vision Pro has received concerns its immersive video for entertainment, Apple has always aimed it equally at businesses. Now Apple wants to press hard on the idea of Apple Vision Pro being a tool that companies need.

“There’s tremendous opportunity for businesses to reimagine what’s possible using Apple Vision Pro at work,” Susan Prescott, Apple’s vice president of Worldwide Developer Relations and Enterprise Marketing, said in a statement. “We’re thrilled to see the innovative ways organizations are already using Apple Vision Pro, from planning fire response operations to iterating on the most intricate details of an engine design — and this is just the beginning.”

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Tesla has released more details about Powerwall 3, its new generation home energy storage system, and there’s some more good news.

Electrek first reported that Tesla started Powerwall 3 installations in the US despite having yet to launch the product on its website officially back in September.

As we previously reported, the biggest difference with the Powerwall 3 is a higher power output of 11.5 KW continuous and an integrated solar inverter.

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A new study suggests that advanced AI models are pretty good at acting dumber than they are — which might have massive implications as they continue to get smarter.

Published in the journal PLOS One, researchers from Berlin’s Humboldt University found that when testing out a large language model (LLM) on so-called “theory of mind” criteria, they found that not only can AI mimic the language learning stages exhibited in children, but seem to express something akin to the mental capabilities related to those stages as well.

In an interview with PsyPost, Humboldt University research assistant and main study author Anna Maklová, who also happens to be a psycholinguistics expert, explained how her field of study relates to the fascinating finding.

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Scientists have created a method to produce 3D full-color holographic images using smartphone screens instead of lasers. This innovative technique, with additional advancements, holds the potential for augmented or virtual reality displays.

Whether augmented and virtual reality displays are being used for gaming, education, or other applications, incorporating 3D displays can create a more realistic and interactive user experience.

“Although holography techniques can create a very real-looking 3D representation of objects, traditional approaches aren’t practical because they rely on laser sources,” said research team leader Ryoichi Horisaki, from The University of Tokyo in Japan. “Lasers emit coherent light that is easy to control, but they make the system complex, expensive, and potentially harmful to the eyes.”

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A UC San Diego team has uncovered a method to decipher neural networks’ learning process, using a statistical formula to clarify how features are learned, a breakthrough that promises more understandable and efficient AI systems. Credit: SciTechDaily.com.

Neural networks have been powering breakthroughs in artificial intelligence, including the large language models that are now being used in a wide range of applications, from finance, to human resources to healthcare. But these networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team led by data and computer scientists at the University of California San Diego has given neural networks the equivalent of an X-ray to uncover how they actually learn.

The researchers found that a formula used in statistical analysis provides a streamlined mathematical description of how neural networks, such as GPT-2, a precursor to ChatGPT, learn relevant patterns in data, known as features. This formula also explains how neural networks use these relevant patterns to make predictions.

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