AI is not overhyped. The potential requires equal attention to the less glamorous but more important role of data management.

Expert tips for reporting on the impact of the resource-hungry data storage facilities that power AI — from water exploitation to greenwashing to flouting environmental regulations.

SANTA CLARA, CA - April 01, 2026 - - As machine learning adoption continues to expand across industries, the demand for ...

AI doesn’t transcend bias but amplifies Orientalist and Islamophobic power by presenting it as neutral knowledge ...

Yongtao Liu, an ORNL R&D staff member, uses AI-guided scanning probe microscopy to run experiments and analyze results with ...

Three experts provide real-life use cases demonstrating AI and automation in finance and offer advice on costs, employee ...

MinceR says the "lkml [message/page] one is April Fools or at least they're trying to pass it off as April Fools [however] the [GitHub] one was archived on the 8th and yesterday, so that probably ...

The platform's curriculum is developed and delivered by a network of over 700 instructors, including hiring managers and ...

CoinDesk Research maps five crypto privacy approaches and examines which models hold up as AI improves. Full coverage of ...

The next phase of the web depends on shared AI standards, and these four protocols are quickly becoming the foundation ...

Artificial intelligence has an important role to place in improving climate finance flows, and the climate finance world has ...