Some are rewriting modeling software to make the physics calculations more efficient, reducing complexity without losing the key details. Others, like me, are turning to machine learning – training ...

The financial sector has embraced AI and machine learning to automate credit decisions, but these tools learn from historical ...

By employing multimodal data fusion, merging traffic volumes, weather patterns, and vehicle telemetry, the system boosts the ...

The new testing, the result of a partnership between the county and the U.S. Geological Survey, showed pollution levels were "exponentially" lower.

Onc.AI, a digital health company developing advanced AI-driven clinical management solutions for oncology, today announced that findings from a recent collaboration with global biopharma company GSK ...

Through the NSF-funded Cybershuttle project ( Cybershuttle ), participants will have access to advanced computational tools and data-sharing platforms to enhance their research capabilities. About: ...

Just a few weeks after OpenAI said it would adopt rival Anthropic’s standard for connecting AI models to the systems where data resides ... for Anthropic’s Model Context Protocol, or MCP ...

Mehta says model-agnosticism is essential now that ... extracting their contents, matching the data to systems of record, and then continuing down the pipeline to perform calculations – all ...

A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.