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

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

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; ...

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 ...

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

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

Recent developments in machine learning techniques have been supported by the continuous increase in availability of high-performance computational resources and data. While large volumes of data are ...

DUBAI – Multidisciplinary consultancy Khatib & Alami (K&A) has signed an agreement with Ajman University to establish an ...

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