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Micron just unveiled specs for its new high-bandwidth memory for AI, which appears to one-up the fastest HBM on the market.

As ive said before we should at least attempt to reverse engineer brains of: mice, lab rats, crows, octupi, pigs, chimps, and end on the… human brain. it would be messy and expensive, and animal activsts would be runnin around it.

Lurking just below the surface of these concerns is the question of machine consciousness. Even if there is “nobody home” inside today’s AIs, some researchers wonder if they may one day exhibit a glimmer of consciousness—or more. If that happens, it will raise a slew of moral and ethical concerns, says Jonathan Birch, a professor of philosophy at the London School of Economics and Political Science.

As AI technology leaps forward, ethical questions sparked by human-AI interactions have taken on new urgency. “We don’t know whether to bring them into our moral circle, or exclude them,” said Birch. “We don’t know what the consequences will be. And I take that seriously as a genuine risk that we should start talking about. Not really because I think ChatGPT is in that category, but because I don’t know what’s going to happen in the next 10 or 20 years.”

Continue reading “How Studying Animal Sentience Could Help Solve the Ethical Puzzle of Sentient AI” »

A Long Island man who was paralyzed in a diving accident has regained motion and feeling in his body after a breakthrough, machine learning-based surgery that successfully “connected a computer to his brain” through microelectrode implants.

Now, the successful case of Massapequa’s Keith Thomas, 45, is being heralded throughout the medical world as a “pioneer” case for AI-infused surgeries to treat or cure impassible illnesses like blindness, deafness, ALS, seizures, cerebral palsy and Parkinson’s, experts at Manhasset’s Feinstein Institutes for Medical Research boast.

“This is the first time a paralyzed person is regaining movement and sensation by having their brain, body and spinal cord electronically linked together,” Chad Bouton, a professor at Feinstein’s Institute of Bioelectronic Medicine, told The Post.

There’s a lot of talk about the potential for artificial intelligence in medicine, but few researchers have shown through well-designed clinical trials that it could be a boon for doctors, health care providers and patients.

Now, researchers at Stanford Medicine have conducted one such trial; they tested an artificial intelligence algorithm used to evaluate heart function. The algorithm, they found, improves evaluations of heart function from echocardiograms — movies of the beating heart, filmed with ultrasound waves, that show how efficiently it pumps blood.

“This blinded, randomized clinical trial is, to our knowledge, one of the first to evaluate the performance of an artificial intelligence algorithm in medicine. We showed that AI can help improve accuracy and speed of echocardiogram readings,” said James Zou, PhD, assistant professor of biomedical data science and co-senior author on the study. “This is important because heart disease is the leading cause of death in the world. There are over 10 million echocardiograms done each year in the U.S., and AI has the potential to add precision to how they are interpreted.”

A new material discovered through research from the MIT Plasma Science and Fusion Center promises to create the first strain-tunable materials — materials that adjust their electronic properties accor.

While Artificial Intelligence has the ability to crunch huge amounts of data in a short span of time, it still falls behind when it comes to finding an energy-efficient way to make complex decisions. Researchers from John Hopkins University in the US are now proposing that 3D cell structures that mimic brain functions can be used to create biocomputers.

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Continue reading “‘Organoid Intelligence’ — how mini-brains could replace AI for supercomputing” »

UC San Diego.

According to the team, the soft gripper can be put to use right after it comes off the 3D printer and is equipped with built-in gravity and touch sensors, which enable it to pick up, hold, and release objects. “It’s the first time such a gripper can both grip and release. All you have to do is turn the gripper horizontally. This triggers a change in the airflow in the valves, making the two fingers of the gripper release,” said a statement by the university.

Could this be the future of medicine?

In order for chatbots to be useful to doctors and other health professionals, they are going to need access to the latest research. But current models simply don’t have access to data beyond their latest update. Daniel Nadler has been working to resolve this issue with his new startup OpenEvidence.

He plans to achieve his lofty goal by “marrying these language models with a real-time firehose of clinical documents,” Nadler told Forbes on Thursday. He claims that his new model “can answer with an open book, as opposed to a closed book.”

To accelerate development of useful new materials, researchers are building a new kind of automated lab that uses robots guided by artificial intelligence.

“Our vision is using AI to discover the materials of the future,” said Yan Zeng, a staff scientist leading the A-Lab at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab). The “A” in A-Lab is deliberately ambiguous, standing for artificial intelligence (AI), automated, accelerated, and abstracted, among others.

Scientists have computationally predicted hundreds of thousands of novel materials that could be promising for new technologies – but testing to see whether any of those materials can be made in reality is a slow process. Enter A-Lab, which can process 50 to 100 times as many samples as a human every day and use AI to quickly pursue promising finds.