Muons tend to scatter more from high-atomic-number materials, so the technique is particularly sensitive to the presence of materials such as uranium. As a result, it has been used to create systems ...
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Scientists use AI to hijack and control specific brain circuits
Researchers have built AI systems capable of steering targeted brain circuits in real time, moving neuroscience closer to precise, closed-loop control of neural activity. These tools pair machine ...
WENZHOU CITY, ZHEJIANG PROVINCE, CHINA, February 10, 2026 /EINPresswire.com/ -- The global packaging industry continues ...
COLUMBUS, MD, UNITED STATES, January 27, 2026 /EINPresswire.com/ -- Prem Kireet Chowdary Nimmalapudi, an AI engineer, ...
Neuromorphic computers modeled after the human brain can now solve the complex equations behind physics simulations — something once thought possible only with energy-hungry supercomputers. The ...
Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Abstract: Supply chain management infrastructure holds a great deal of importance for each and every business sector from suppliers to the final consumer. There is often insufficient visibility in ...
Music recommendation algorithms were supposed to help us cut through the noise, but they just served us up slop. If you buy something from a Verge link, Vox Media may earn a commission. See our ...
While the world's leading artificial intelligence companies race to build ever-larger models, betting billions that scale alone will unlock artificial general intelligence, a researcher at one of the ...
There is a new sorting algorithm a deterministic O(m log2/3 n)-time algorithm for single-source shortest paths (SSSP) on directed graphs with real non-negative edge weights in the comparison-addition ...
Abstract: In lifelong learning, data are used to improve performance not only on the present task, but also on past and future (unencountered) tasks. While typical transfer learning algorithms can ...
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