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.

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

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 ...

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 ...

Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...

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.

Advancements in Building Energy Modeling This year’s Building Simulation conference really dug into how we can make ...

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 ...