Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results.

Abstract: Existing time-domain simulation of LCC-HVDC systems faces a trade-off between accuracy and efficiency. The electromagnetic transient model can accurately emulate detailed dynamic processes, ...

A research team affiliated with UNIST has reported a new simulation tool to better understand how liquid-phase chemical ...

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.

Nvidia’s AI model built for ‘human-like understanding’ of music will make it easier to find songs within UMG’s massive ...

This decision did not emerge from the Advisory Committee on Immunization Practices (ACIP), which typically guides the CDC’s ...

Earth system box models are essential tools for reconstructing long-term climatic and environmental evolution and uncovering ...

This toolkit supports integrated care boards (ICBs), their place-based partners, health and care providers to work with service users and professionals to improve the postnatal care experience and ...

Contingency management theory says there’s no one-size-fits-all approach — leaders must adapt strategies based on people, ...

CLIMBER-X is a comprehensive fast Earth System Model, designed to simulate the evolution of the Earth system on time scales ranging from decades to glacial-interglacial cycles. It includes the ...

Abstract: With the assistance of large language models, which offer universal medical prior knowledge via text prompts, state-of-the-art Universal Models (UM) have demonstrated considerable potential ...

Why societies fall apart isn’t politics or morals, an author argues—it’s cognitive failure, a pattern he says can be scientifically tested. Evil doesn’t take over societies by force or intelligence.