Yann LeCun is a leading AI voice whose pathbreaking work in neural networks became the foundation for modern computers and ...

AI optimists envision a future where artificial general intelligence surpasses human intelligence, but the path remains riddled with scientific hurdles.

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

Advanced software solutions are merging with engaging game design to revolutionize mobile gaming. The integration of cutting-edge technology ensures a seamless experience for players. Discover how ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Background: Pancreatic ductal adenocarcinoma (PDAC) is a highly lethal malignancy, and traditional prognostic methods, such as TNM staging, often fail to accurately predict outcomes. This review ...

1 Department of Pediatrics, Shengjing Hospital of China Medical University, Shenyang, Liaoning, China 2 Department of Pediatric Cardiology, Guangzhou Women and Children’s Medical Center, Guangzhou ...

A recent study, “Picking Winners in Factorland: A Machine Learning Approach to Predicting Factor Returns,” set out to answer a critical question: Can machine learning techniques improve the prediction ...

As modern manufacturing increasingly relies on artificial intelligence (AI), automation, and real-time data processing, the need for faster and more energy-efficient computing systems has never been ...