Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

New research reveals that "foundation models" trained on vast, general time-series data may be able to forecast river flows accurately, even in regions with little or no local hydrological records.

University of Phoenix announces the publication of "Harnessing AI, Virtual Landscapes, and Anthropomorphic Imaginaries to Enhance Environmental Science Education at Jökulsárlón Proglacial Lagoon, ...

An exclusive conversation with OpenAI’s chief scientist, Jakub Pachocki, about his firm's new grand challenge and the future of AI.