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

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

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human ...

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

Behavior-Derived Intelligence Transforms How Recovery Is Supported, Measured, and Sustained Human behavior leaves a ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

The search space for protein engineering grows exponentially with complexity. A protein of just 100 amino acids has 20^100 ...

近日，由国际著名学术出版机构Elsevier和中国科学出版社联合出版的学术专著 《Machine Learning in the Analysis of Deformation, Fatigue and Fracture in Solids》 正式发布。该书 由西南交通大学康国政教授团队（康国政、阚前华、张旭、胡雅楠、李翔宇等）在国家自然科学基金重大项目（12192210; ...

A machine-learning loop searched 14 million battery cathode compositions and found fivefold performance gains across four metrics using fewer than 200 experiments.

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

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...

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