Background Current risk scores inadequately predict long-term mortality after transcatheter aortic valve replacement (TAVR), ...

The natural protein universe is vast, and yet, going beyond and designing new proteins not observed in nature can yield new ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics ...

Neural networks revolutionized machine learning for classical computers: self-driving cars, language translation and even ...

Researchers at Pennsylvania State University examined whether machine learning could predict the risk and contributing ...

Applying machine learning to genome-wide association and electronic health record data may usher in a new era of precision in ...

Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and increasingly complex transistor structures are driving a steady ...

We are excited to welcome this year's cohort for the Machine Learning in Economics Summer Institute, which will be held in Chicago, August 7-13, 2025. Applications for the 2025 Institute can be found ...

While the precedent set by Recentive Analytics, Inc. v. Fox Corp.[1] presents a formidable challenge, it does not represent a complete foreclosure ...

Detecting early rising Parkinson's disease (PD) symptoms could improve treatment outcomes by enabling earlier treatment ...

Artificial Intelligence systems powered by deep learning are changing how we work, communicate, and make decisions. If we ...