AI protein function prediction uses machine learning models trained on sequence and structural data to infer protein roles at ...

The company mainly trained Phi-4-reasoning-vision-15B on open-source data. The data included images and text-based descriptions of the objects depicted in those images. Before it started training the ...

A portable version of the global model used by ECMWF to produce medium-range weather forecasts is being made openly available ...

Grist reports that a recent study confirms electric vehicles reduce air pollution, with each 200 EVs cutting nitrogen dioxide emissions by 1.1%.

Southwest Research Institute (SwRI), on behalf of the Numerical Propulsion System Simulation (NPSS®) Consortium, has released ...

Scientists can now calculate how shared reality emerges from the strange quantum world where particles can exist in many ...

Scientists have developed a powerful new computational method that could accelerate the search for next-generation materials capable of turning sunlight into useful chemical energy. The work focuses ...

A new study suggests that lenders may get their strongest overall read on credit default risk by combining several machine learning models rather than relying on a single algorithm. The researchers ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Historian Thomas Zimmer says Trump is still dangerous, but that his authoritarian project has been derailed on a number of fronts.

How to explain Saturn's unique tilt and the youth of its rings? A recent hypothesis puts forward the idea of a cataclysmic ...

Toys powered by AI show a worrying lack of emotional understanding. But we need to understand the risks and benefits of the technology so the industry can be regulated, not outright banned ...