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.

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 ...

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 ...

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 consortium led by the University de Zaragoza, with the participation of Universidad Carlos III de Madrid (UC3M), has been selected in the 2026 Health Research Call by the "la Caixa" Foundation—one ...

Side jobs using Unity primarily focus on the development and operation of games across various platforms, but in recent years ...

Applied Materials launched its $5B EPIC Center in Silicon Valley to unite chipmakers and accelerate AI semiconductor R&D by ...

Leicester researchers are working with East African countries to improve our understanding of heatwaves and droughts ...

New Genesis Mission projects aim to solve challenging problems in grid, computing, physics and geothermal energy with PNNL ...