Since the dawn of the computer age, researchers have wrestled with two persistent challenges: how to store ever-increasing ...

Emerging from stealth, the company is debuting NEXUS, a Large Tabular Model (LTM) designed to treat business data not as a ...

By replacing repeated fine‑tuning with a dual‑memory system, MemAlign reduces the cost and instability of training LLM judges ...

SANTA CLARA, CA / ACCESS Newswire / February 4, 2026 / Expert Intelligence™, a startup building AI systems that ...

Introduction Mobile health (mHealth) technologies have become increasingly popular for monitoring mental health symptoms and lifestyle behaviours, and are largely reported to be feasible and ...

Gift from Thomas and Susan Dunn supports creation of the Bike Shop @UChicago, which aims to shape AI development and build ...

Using detailed surveys and machine learning computation, new research co-authored at UC Berkeley's Center for Effective Global Action finds that eradicating extreme poverty would be surprisingly ...

The Idaho National Laboratory (INL) is addressing one of the nation’s most urgent challenges: securing a reliable domestic ...

Cannabis is now entering a similar inflection point, where algorithms may shape what gets grown, how it’s sold, and who wins in a rapidly growing industry.

Hundreds of thousands of children in China have been separated from their parents. A Yale SOM study finds that a ...

Resham Kotecha, the global head of policy at the Open Data Institute, argues while the UK has the data assets and the ...

Passive sensing via wearable devices and smartphones, combined with machine learning (ML), enables objective, continuous, and noninvasive mental health monitoring. Objective: This study aimed to ...