AI demand threatens the power grid. See how ThinkLabs uses AI digital twins to cut grid energization analysis from 35 days to ...

Argonne National Laboratory is using its exascale supercomputers and artificial intelligence to simulate how carbon behaves ...

Edra, a New York-based startup that says it helps companies automate workflows by turning their existing operational data ...

Siemens is expanding its partner ecosystem aim to align compute growth with power availability as grid constraints challenge AI data centre expansion ...

Microscopic images of human tissue are a cornerstone of biomedical research and clinical diagnostics. Yet despite their importance, these images often remain difficult to analyze systematically and to ...

Sandia National Laboratories conducted the first-ever blind comparison of seven commercial PV modeling software, revealing that differences in weather handling, system modeling, derates, and ...

Flexcompute's PhotonForge Connector integrates GPU-accelerated multiphysics simulation directly into the Cadence Virtuoso Studio environment, enabling two-way photonic design workflows for AI data ...

How specifically will this AI tool help engineers? This tool reduces the time for developing and extracting semiconductor device models from weeks to hours. Accelerates the delivery of process design ...

As SAP PowerDesigner approaches its end of life, data and architecture leaders must decide how to protect the consistency, governance and long-term value of their enterprise data models. When a tool ...

What would a Tesla be without controversy and split opinions? The Tesla Model Y’s midcycle refresh brought significant enough changes to earn it a spot in our 2026 SUV of the Year competition. The ...

American Vogue’s August 2025 issue has been making headlines — and not only for its cover featuring actor Anne Hathaway, who is back in the limelight as she films “The Devil Wears Prada” sequel. What ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.