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 ...

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

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data other than what they were trained on, raising questions about the need to ...

Ricursive Intelligence, founded by two former Google researchers and valued at $4 billion, is among several efforts to ...

Across science, medicine, and technology, one problem is becoming increasingly impossible to ignore: data fragmentation. At ...

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

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...