An AI lab called Fundamental emerged from stealth on Thursday, offering a new foundation model to solve an old problem: how to draw insights from the huge quantities of structured data produced by ...
The Department for Work and Pensions (DWP) has published a “data strategy” document that sets out what it believes it will take to become an organisation transformed by data usage by 2030. This ...
HB2151 threatens to speed up controversial data center construction statewide Harrisburg, PA — Today, the House Energy Committee held a hearing for HB2151, a Shapiro-backed bill that would provide a ...
Electrochemical impedance spectroscopy (EIS) provides valuable insights into the physical processes within batteries – but how can these measurements directly inform physics-based models? In this ...
An illustration Anthropic commissioned to mark the release of Opus 4.5. (Anthropic) Hot on the heels of Google's Gemini 3 Pro release, Anthropic has announced an update for its flagship Opus model.
Power lines extend north from Wildlands Conservancy's South Mountain Preserve in Emmaus, with the PPL Building in Center City Allentown visible in the background, on Aug. 16, 2025. The Pennsylvania ...
Enterprise software giant SAP SE is expanding its Business Data Cloud offering and doubling down on AI-ready data architectures, with product roll-outs and enhancements focused on bringing data and AI ...
What if you could build a fully functional financial model in minutes, without spending hours wrestling with formulas, cleaning messy data, or manually updating projections? With the introduction of ...
The software development world has been transformed by AI-powered coding assistants such as Cursor and Claude Code, which have changed how engineers write and debug code. Processing Content These ...
Behavioral information from an Apple Watch, such as physical activity, cardiovascular fitness, and mobility metrics, may be more useful for determining a person's health state than just raw sensor ...
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.
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