World models are the building blocks to the next era of physical AI -- and a future in which AI is more firmly rooted in our reality.

In a sense, it sounds like that’s another facet of computational thinking that’s more relevant in the age of AI—the abstractions of statistics and probability in addition to algorithms and data ...

How do avalanches affect pylons and other sensitive infrastructure? Using detailed simulations, SLF researcher Michael Kohler ...

Overview The 2026 global rankings highlight universities excelling in AI, cybersecurity, and sustainable computing education, ...

Sandia National Labs today released an update on its neuromorphic computing research. Inspired by the architecture of the ...

Buildings produce a large share of New York's greenhouse gas emissions, but predicting future energy demand—essential for ...

Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development of computational models inspired by the brain's layered organization, also ...

D-Wave Quantum Inc. (NYSE: QBTS) ("D-Wave" or the "Company"), a leader in quantum computing systems, software, and services, and the world's first commercial supplier of quantum computers, and Quantum ...

Deep Learning Methods, GNN Model, Community Service Work, China and USA, Neural Networks Share and Cite: Liu, J.X. (2026) A ...

Earthquakes happen daily, sometimes with devastating consequences, yet predicting them remains out of reach. What scientists ...

Biology has always been an unruly science. Cells divide when they want to. Genes switch on and off like temperamental lights.