Why today’s AI systems struggle with consistency, and how emerging world models aim to give machines a steady grasp of space ...

No, we did not miss the fact that Nvidia did an “acquihire” of AI accelerator and system startup and rival Groq on Christmas ...

Abstract: Fusion localization based on Kalman filter is a commonly used method, especially in narrow and enclosed underground environments. The poor performance of sensors such as LiDAR, GPS and ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.

Post Doc Fellow: AI and Data Systems in Nuclear/Particle Physics, Stellenbosch University In most industries, maintenance is a waiting game. Things are fixed when they break. But in the 21st century, ...

Unlike pretty much all other motorcycle makers out there, who release new products all year round, American Harley-Davidson likes to do this once a year, in January. Generally, the massive new model ...

Fraud has always been a chase. Banks build defenses, criminals find new ways in, and the cycle continues. In recent years, something quieter, and frankly more dangerous, has been spreading. It is ...

Calix Agentic Broadband Platform, Built on Google Cloud’s AI and Data Infrastructure, Will Deliver Breakthrough Innovation for Providers To Lead in the AI Era In its most transformative release to ...

1 Department of General Surgery, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, China 2 Department of Neurology, Peking Union ...

Oct 11 (Reuters) - Andrew Tulloch, co-founder of Mira Murati's Thinking Machines Lab, has left the AI company to join Meta Platforms (META.O), opens new tab, the Wall Street Journal reported on ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Abstract: To enhance the performance and privacy of recommender systems in distributed settings, this paper proposes a federated recommendation model based on graph convolutional networks (GCNs).