Morning Overview highlights Fourier Neural Operator and DeepONet models, which learn the underlying mathematics of physical systems to speed up simulations by orders of magnitude. Applied in areas ...

Due to the explosive growth of artificial intelligence, it is estimated that data centers will consume up to 12% of total U.S ...

As enterprises move from prompting chatbots to orchestrating AI agents, IT leaders must rethink governance, data architecture ...

Agentic BIM’s missing infrastructure. A Google research paper provides the framework for making agentic BIM work – but also ...

TechPoint, the industry-led growth initiative for Indiana’s digital innovation economy, today announced the winners of the ...

It was obvious to me that was where the growth was.” Growing and controling bone marrow stem cells (like shown here) outside ...

Learn prompt engineering with this practical cheat sheet that covers frameworks, techniques, and tips for producing more ...

AI-powered physics simulations are speeding up design cycles, cutting costs, and enabling more creative engineering solutions. By combining traditional multiphysics modeling with machine learning, ...

Training AI world models on data about physical environments could improve their real-world capabilities in technologies such ...

Until now, molecular-level DNA circuits have mainly been used for simple tasks, such as detecting the presence of ...

Solar design platform Solesca has launched Engineering Mode, a new workflow that lets commercial and large-scale solar teams ...

The search for next-generation electronic materials often starts with studying the Fermi surface, which serves as a map of a ...