Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

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; ...

Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for clean-energy reactions are screened, identified, and validated across ...

New forms of fentanyl are created every day. For law enforcement, that poses a challenge: How do you identify a chemical you've never seen before? Researchers at Lawrence Livermore National Laboratory ...

In a new study published in Physical Review Letters, researchers used machine learning to discover multiple new classes of ...

Lithium-ion batteries have become the quiet workhorses of the energy transition, but the way they are designed and tested has ...

SANTA CLARA, CA, Feb. 12, 2026 (GLOBE NEWSWIRE) -- SANTA CLARA, CA - February 12, 2026 - - ...

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 ...

The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.

Interview Kickstart today announced the launch of its Advanced Machine Learning Program, a specialized interview preparation track designed for engineers and data professionals preparing for machine ...

The field of additive manufacturing is undergoing a profound transformation as artificial intelligence (AI) and machine learning (ML) become integral to the ...