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Researchers have developed a robot capable of performing surgical procedures with the same skill as human doctors by training it using videos of surgeries.

The team from Johns Hopkins and Stanford Universities harnessed imitation learning, a technique that allowed the robot to learn from a vast archive of surgical videos, eliminating the need for programming each move. This approach marks a significant step towards autonomous robotic surgeries, potentially reducing medical errors and increasing precision in operations.

Revolutionary Robot Training

Unveiling faster and smarter reasoning in AI:*

https://arxiv.org/abs/2410.

Researchers have introduced a breakthrough in AI reasoning, specifically for Large Language Models (LLMs), with a method called*.


Interpretable Contrastive Monte Carlo Tree Search Reasoning — zitian-gao/SC-MCTS.

Researchers from Baylor College of Medicine, Stanford University School of Medicine, and their collaborators have identified a novel compound called BHB-Phe, which is naturally produced by the body. Published in the journal Cell, their findings reveal that BHB-Phe regulates appetite and body weight by interacting with neurons in the brain.

Until now, BHB has been known as a compound produced by the liver to be used as fuel. However, in recent years, scientists have found that BHB increases in the body after fasting or exercise, prompting interest in investigating potential beneficial applications in obesity and diabetes.

Scientists have pioneered a new material based on ruthenium that demonstrates complex, disordered magnetic properties akin to those predicted for quantum spin liquids, an elusive state of matter.

This breakthrough in the study indicates significant potential for the development of quantum materials that transcend classical physical laws, providing new insights and applications in the quantum realm.

Novel Quantum Materials