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Category: robotics/AI – Page 53

Using a fermionic neural network to find the ground state of fractional quantum Hall liquids

When two-dimensional electron systems are subjected to magnetic fields at low temperatures, they can exhibit interesting states of matter, such as fractional quantum Hall liquids. These are exotic states of matter characterized by fractionalized excitations and the emergence of interesting topological phenomena.

Researchers at Cavendish Laboratory and Massachusetts Institute of Technology (MIT) set out to better understand these fascinating states using machine learning, specifically employing a newly developed attention-based fermionic (FNN).

The method they developed, outlined in a paper published in Physical Review Letters, was trained to find the lowest-energy quantum state (i.e., ground state) of fractional quantum Hall liquids.

Study finds quantum computing in health care faces significant challenges, but there is promise

A broad systematic review has revealed that quantum computing applications in health care remain more theoretical than practical, despite growing excitement in the field.

The comprehensive study published in npj Digital Medicine, which analyzed 4,915 research papers published between 2015 and 2024, found little evidence that quantum machine learning (QML) algorithms currently offer any meaningful advantage over classical computing methods for health care applications.

“Despite in research claiming quantum benefits for health care, our analysis shows no consistent evidence that quantum algorithms outperform classical methods for clinical decision-making or health service delivery,” said Dr. Riddhi Gupta from the School of Mathematics and Physics and the Queensland Digital Health Center (QDHeC) at the University of Queensland.

Watch This Robot Solve a Rubik’s Cube in 0.1 Seconds — It’s a Guinness World Record

A team of Purdue engineering students built a lightning-fast robot—Purdubik’s Cube—that now holds the Guinness World Record for solving a Rubik’s Cube in just 0.103 seconds. Fueled by co-op experiences, personal inspiration, and university support, the students combined machine vision, custom alg

Dubai Doctor Fears Losing His Job As AI Accurately Analyses X-Ray: “Going To Apply To McDonald’s”

A pulmonologist based in Dubai was astonished by the accuracy of Artificial Intelligence (AI) in diagnosing diseases. Recently, Dr. Mohammad Fawzi Katranji tested an AI tool’s ability to detect pneumonia from an X-ray and was impressed when it pinpointed the same areas he had identified, as well as an additional spot he had missed. The AI completed the task in seconds, a stark contrast to the 20 years Dr. Katranji spent acquiring his expertise. The AI’s findings ultimately aided in the patient’s recovery.

“I am about to lose my job. This is scary because I developed the skill over 20 years, which lets me look at an X-ray and point to pneumonia,” he said in the video, showing his findings.

“Now, here comes AI, and they pick it up in a second. Now, you don’t need professional eyes to look at these X-rays. You just have artificial intelligence. They picked up pneumonia. I am going to be applying to McDonald’s soon, and I hope they have some openings,” the doctor joked.

Musk says Tesla’s self-driving tests will be geofenced to ‘the safest’ parts of Austin

The first test of Tesla’s long-promised robotaxi service in Austin, Texas next month will initially be limited to specific areas the company deems “the safest,” CEO Elon Musk told CNBC in an interview Tuesday.

Tesla’s cars are “not going to take intersections unless we are highly confident [they’re] going to do well with that intersection, or it’ll just take a route around that intersection,” Musk said. “We’re going to be extremely paranoid about the deployment, as we should be. It would be foolish not to be.”

Using a geofence represents a major strategy shift for Musk, who spent years claiming his company would be able to create a general-purpose self-driving solution that could be dropped in to any location and work without human supervision. (Geofence is a jargon term used in the autonomous vehicle industry that means a vehicle is restricted to a certain area.) Musk has claimed Tesla will attempt to launch similar trials for its robotaxi service in California and possibly other states later this year.

Underwater robots flex new muscles: Light-driven actuators outperform mammalian muscle

A Korean research team has developed a light-powered artificial muscle that operates freely underwater, paving the way for next-generation soft robotics.

The research team—Dr. Hyun Kim at the Korea Research Institute of Chemical Technology (KRICT), Prof. Habeom Lee at Pusan National University, and Prof. Taylor H. Ware at Texas A&M University—successfully developed artificial muscles based on azobenzene-functionalized semicrystalline liquid crystal elastomers (AC-LCEs) that actuate in response to light.

The work has been published in the journal Small.