High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

OpenAI has launched Prism, a revolutionary AI-native workspace for scientists powered by GPT-5.2. Discover how this tool ...

Tabular foundation models are the next major unlock for AI adoption, especially in industries sitting on massive databases of structured, siloed, and confidential data.

It made five pledges to address concerns that have stymied plans to build out new AI data centers. It made five pledges to address concerns that have stymied plans to build out new AI data centers. is ...

Choose your path! This repository prepares you for multiple ML/AI careers. Select your target role to see a customized learning path: Role Focus Est. Time Key Modules ...

Microsoft (MSFT) announced today it has acquired Osmos, an agentic artificial intelligence data engineering platform designed to simplify complex data workflows. No financial details on the ...

New research shows that AI doesn’t need endless training data to start acting more like a human brain. When researchers redesigned AI systems to better resemble biological brains, some models produced ...

As the surge in artificial intelligence and data centers continues across the state, Austin officials say the technology’s rapid expansion could drive up utility rates, overwhelm the power grid and ...

These companies will play a crucial role in supporting the AI era. The AI revolution is driving nearly insatiable demand for hardware like high-performance GPUs, CPUs, networking equipment, and ...

Scientists at Mount Sinai have created an artificial intelligence system that can predict how likely rare genetic mutations are to actually cause disease. By combining machine learning with millions ...