The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made ...

The framework predicts how proteins will function with several interacting mutations and finds combinations that work well together.

Harvard researchers have developed OpenMetabolics, an open-source, smartphone-based activity monitor that uses machine ...

Research authored by partners from the Bottle Consortium and published in Nature Communications this month aims to challenge ...

The partners in Lantern, a machine learning software firm focused on product distribution, pitched the technology to HVACR ...

AI is transforming cognitive work across all areas of human activity. It is poised to bifurcate humanity into superhumans who ...

Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...

New Wireless Broadband Alliance report lays out the frameworks and priorities needed to scale intelligent Wi-Fi without ...

Explore the fundamental role of mathematics in Artificial Intelligence and Machine Learning. Understand how linear algebra, ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20100 possible variants—more combinations than atoms in the observable universe.

A powerful artificial intelligence (AI) tool could give clinicians a head start in identifying life-threatening complications after stem cell and bone marrow transplants, according to new research ...