News

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AI Reveals Milky Way’s Black Hole Spins Near Top Speed

AI has helped astronomers crack open some of the universe s best-kept secrets by analyzing massive datasets about black holes. Using over 12 million simulations powered by high-throughput computing, scientists discovered that the Milky Way's central black hole is spinning at nearly maximum speed. Not only did this redefine theories about black hole behavior, but it also showed that the emission is driven by hot electrons in the disk, not jets, challenging long-standing models.

Passive cooling breakthrough could slash data center energy use

UC San Diego engineers have created a passive evaporative cooling membrane that could dramatically slash energy use in data centers. As demand for AI and cloud computing soars, traditional cooling systems struggle to keep up efficiently. This innovative fiber membrane uses capillary action to evaporate liquid and draw heat away without fans or pumps. It performs with record-breaking heat flux and is stable under high-stress operation.

This quantum sensor tracks 3D movement without GPS

Physicists at the University of Colorado Boulder have created a groundbreaking quantum device that can measure 3D acceleration using ultracold atoms, something once thought nearly impossible. By chilling rubidium atoms to near absolute zero and splitting them into quantum superpositions, the team has built a compact atom interferometer guided by AI to decode acceleration patterns. While the sensor still lags behind traditional GPS and accelerometers, it's poised to revolutionize navigation for vehicles like submarines or spacecraft potentially offering a timeless, atomic-based alternative to aging electronics.

Robot Talk Episode 125 – Chatting with robots, with Gabriel Skantze

Claire chatted to Gabriel Skantze from KTH Royal Institute of Technology about having natural face-to-face conversations with robots.

Gabriel Skantze is a Professor of Speech Communication and Technology at KTH Royal Institute of Technology. He specializes in conversational systems and leads several research projects on conversational AI and human-robot interaction. His work focuses on computational models of spoken interaction, integrating both verbal and non-verbal aspects such as prosody, turn-taking, feedback, and joint attention. In 2014, he co-founded Furhat Robotics, where he continues to serve part-time as Chief Scientist.

Vision-language models gain spatial reasoning skills through artificial worlds and 3D scene descriptions

Vision-language models (VLMs) are advanced computational techniques designed to process both images and written texts, making predictions accordingly. Among other things, these models could be used to improve the capabilities of robots, helping them to accurately interpret their surroundings and interact with human users more effectively.

Q&A: Why improving robot design is essential to achieving true intelligence

Thanks to artificial intelligence, robots can already perform many tasks that would otherwise require humans. In this interview, Edoardo Milana, a junior professor of soft machines in the Department of Microsystems Engineering at the University of Freiburg, explains how improved design and innovative mechanics are broadening the range of applications for these machines.
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