Side-blotched lizards probably don’t call the game that, but they play a version of it anyway. A new study explains the ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

AI methods are increasingly being used to improve grid reliability. Physics-informed neural networks are highlighted as a ...

By applying machine learning techniques, engineers at MIT have created a new method for 3D printing metal alloys that produce ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Antimicrobial resistance (AMR) is an increasingly dangerous problem affecting global health. In 2019 alone, ...

Caption:MIT researchers created a periodic table of machine learning that shows how more than 20 classical algorithms are connected. The new framework sheds light on how scientists could fuse ...

Generative Modeling is a branch of machine learning that focuses on creating models representing distributions of data, denoted as $P(X)$. $X$ represents the data ...

SUNNYVALE, Calif. & CAMBRIDGE, Mass.--(BUSINESS WIRE)--NTT Research, Inc., a division of NTT (TYO:9432), and the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) announced the ...

Computer vision and image synthesis based on deep learning models, such as YOLO, U-Net, and Transformer, are advancing rapidly. These technologies are significantly impacting the field of neurology.

Sandia National Laboratories scientist Rémi Dingreville has co-developed a way to speed up virtually any kind of computer simulation, a ubiquitous research tool across science and industry.