Lithium-ion batteries power everything from phones and electric vehicles to grid-scale energy storage and earbuds, but their cathodes—the part of batteries denoted by a plus sign—are expensive to make ...
Yen-Ling Kuo always wanted to understand how things worked. When she was growing up in Taiwan, reading the story of Michael ...
From dynamic scene reconstruction to 3D generative modeling, CVPR 2026 Best Papers showcase novel solutions poised to shape the next era of intelligent systems. NEW YORK, June 11, ...
Researchers at the University of California, Irvine, said they have discovered a critical security vulnerability in autonomous target-tracking drones claimed to have far-reaching implications for ...
An AI model that learns without human input—by posing interesting queries for itself—might point the way to superintelligence. Save this story Save this story Even the smartest artificial intelligence ...
Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...
Chinese artificial intelligence start-up DeepSeek has ushered in 2026 with a new technical paper, co-authored by founder Liang Wenfeng, that proposes a rethink of the fundamental architecture used to ...
Artificial intelligence is getting more powerful—but it's also racking up a massive energy bill. Some estimate that one maximum-length ChatGPT query can use about twice as much power as an average U.S ...
It’s been almost a year since DeepSeek made a major AI splash. In January, the Chinese company reported that one of its large language models rivaled an OpenAI counterpart on math and coding ...
Data Science combines scientific inquiry, statistical knowledge and computer programming with a focus on learning powerful insights from big data. Businesses use data to plan, evaluate, innovate, and ...
Abstract: The rapid evolution of digital communication and the corresponding surge in deceptive or misleading content have underscored the critical need for reliable and domain-adaptive detection ...