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.

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 ...

Degradable pacemakers and artificial neurons showcase how flexible, tissue-compatible electronics are revolutionising medicine. But translating these materials from lab bench to clinic requires solvin ...

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

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.

The absence of reliable data on fundamental economic indicators (e.g. real GDP), combined with structural shifts in the economy, can severely constrain the ability to conduct accurate macroeconomic ...

The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

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

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur ...

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