A dual-graph deep learning network that hard-codes petroleum physics alongside learned statistics cuts oil production prediction error to about 20 percent, far outperforming conventional models.

I fell for physics because it offered a sense of order. Now I now its deep insight is how to accept the messiness of life ...

Hardik Jagda, CEO of an AI engineering company, shares why he doesn't ask his team to work 996 hours, even though he starts ...

Elorian launched Glimpse on October 16, a visual reasoning AI model it says beats GPT-6 Astra on chart reasoning while ...

Earth’s rotation subtly twists the spacetime surrounding it, an effect predicted by Albert Einstein more than a century ago.

CERN and Mistral have signed a statement of intent for a long-term strategic partnership to develop foundation models for scientific discovery. Their initial objective is a pretra ...

Anthropic CEO Dario Amodei GS ’11 was a physics Ph.D. student at Princeton. His professors and fellow researchers reflect on ...

Meta has released Muse Spark Open, its most capable open-weight model yet, and it can run entirely on two Apple M5 Ultra Mac ...

Building the Nobel-prizewinning neutrino experiment was a big risk. To continue its success, scientists — and funders — need ...

A three-year project led by Joshua Burby will build neural network models to explore new stellarator designs and lower the ...

Assistive Technology at MIT (AT@MIT) was established as an Edgerton Center build team in fall 2023; today, it consists of ...