In the domain of metamaterials, the push toward automated design has been accelerated by advances in generative machine learning. The advent of deep ...
Rainfall prediction has advanced rapidly with the adoption of machine learning, but most models remain optimized for overall accuracy across long time series. This design inherently favors common, low ...
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Sandia boffins let three AI agents loose in the lab. Science, not chaos, ensued
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 ...
Integrative Multi-Omics and Computational Modeling for Biomarker Discovery in Complex Human Diseases
Complex human diseases—such as cancer, neurodegenerative disorders, autoimmune conditions, cardiometabolic disease, and chronic inflammatory syndromes—arise ...
Knowledge representation is a fundamental aspect of AI, which allows machines to understand, think, and even make choices ...
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 ...
On April 18, 2025, the Federal Circuit upheld the district court’s dismissal of the case on the ground that the patents were ...
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