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Category: robotics/AI – Page 864

Technological advancements like autonomous driving and computer vision are driving a surge in demand for computational power. Optical computing, with its high throughput, energy efficiency, and low latency, has garnered considerable attention from academia and industry. However, current optical computing chips face limitations in power consumption and size, which hinders the scalability of optical computing networks.

Thanks to the rise of nonvolatile integrated photonics, optical computing devices can achieve in-memory computing while operating with zero static . Phase-change materials (PCMs) have emerged as promising candidates for achieving photonic memory and nonvolatile neuromorphic photonic chips. PCMs offer high refractive index contrast between different states and reversible transitions, making them ideal for large-scale nonvolatile optical computing chips.

While the promise of nonvolatile integrated optical computing chips is tantalizing, it comes with its share of challenges. The need for frequent and rapid switching, essential for , is a hurdle that researchers are determined to overcome. Forging a path towards quick and efficient training is a vital step on the journey to unleash the full potential of photonic computing chips.

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Two days after AIM said that it’s time for OpenAI to launch GPT-5, the company filed a trademark application for “GPT-5” with the United States Patent and Trademark Office (USPTO) on July 18. This move suggests the potential development of a new version of their language model. The news was shared by trademark attorney Josh Gerben on Twitter on July 31.

The trademark application says that GPT-5 is related to computer software for generating human speech and text, as well as for natural language processing, generation, understanding, and analysis. It is speculated to be the next powerful version of OpenAI’s generative chatbot, following the previous release of GPT-4 in March.

Despite the trademark application, there is no confirmation of immediate development for GPT-5. While it is likely that OpenAI has plans for an advanced language model in the future, the primary purpose of the trademark filing might be to secure the name “GPT-5” and prevent unauthorised use by others.

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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.”

In the meantime, he says, we might do well to study other non-human minds—like those of animals. Birch leads the university’s Foundations of Animal Sentience project, a European Union-funded effort that “aims to try to make some progress on the big questions of animal sentience,” as Birch put it. “How do we develop better methods for studying the conscious experiences of animals scientifically? And how can we put the emerging science of animal sentience to work, to design better policies, laws, and ways of caring for animals?”

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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.

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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.”

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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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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.

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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.”

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