From cocoa to coffee, collaborating on climate action yields results

In a community centre in the heart of Ghana’s cocoa-rich Sui River region in western Ghana, two dozen people gather to ...
Cantech Letter

Capital Rotation: Why Smart Money is Chasing Functional Wellness

Insider.com News Commentary VANCOUVER, BC, Feb. 6, 2026 /CNW/ — Legacy strategies are stalling as consumers abandon static products for brands ...

Why The Data Trust Layer Is A New Architectural Requirement

Enterprises are scrambling to figure out their AI stack, built not just for capability or scale, but for trust in the quality ...

Earthquake data provide solid footing for AI foundation science model

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

Fundamental emerges from stealth with first major foundation model trained for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.
Computer Weekly

DWP rejigs operating model for data transformation by 2030

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 ...

Model ML Buys Captide to Give Financial AI Agents Citable Corporate Disclosure Data

Model ML today announced the acquisition of Captide, the leading financial data layer that turns complex global corporate filings and disclosures into LLM-ready documents and data for AI agents.

Beyond the lakehouse: Fundamental's NEXUS bypasses manual ETL with a native foundation model for tabular data

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a simple sequence of words, but as a complex web of non-linear relationships.

A more accurate measure of calories burned: Model interprets leg motion as expended energy

Though it might feel great to finish a workout and see "calories burned" pop up on your smartwatch, that number is often surprisingly inaccurate, with estimated error rates of 30%–80%. The watch's ...