In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...

Recentive Analytics, Inc. v. Fox Corp., No. 23-2437 (Fed. Cir. 2025) – On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...

NTN applies AI and machine learning to accelerate bearing design, cut analysis time and reduce engineering workload.

Machine learning added to NTN’s ABICS system reduces simulation time by more than 90 percent and automates dimension optimization for third-generation hub bearings, the company says.

Researchers demonstrate fourfold improvement to LED steering results after enlisting the help of some good old-fashion AI Boffins at the Department of Energy's Sandia National Labs are working to ...

Poster Presentation at the 2026 Crohn's & Colitis Congress® Showcases Use of Causal Machine Learning and IBD Plexus® to ...

马克·吉罗拉米（Mark Girolami）｜英国皇家工程院院士｜剑桥大学教授｜艾伦·图灵研究所首席科学家｜全球人工智能与数据科学领域领军人物马克·吉罗拉米是国际公认的人工智能、机器学习与统计计算领域的顶尖科学家。作为英国国家人工智能旗舰机构——艾伦 ...

Austrian economists have long criticized using mathematics to undergird economic analysis. It is time to apply that same ...

A new study combines drone data, satellite observations, and ground-based flux measurements to examine methane emissions from ...

Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...

It uses a system called simplified molecular-input line-entry system (SMILES). This translates chemical 3D structures into ...