Overview: Machine learning skills improve when concepts are applied through regular, structured, hands-on projects.Working on ...

CERN is nothing like today's agentic AI jockeys, who mostly rely on pre-set weights and generic TPUs and GPUs to generate ...

"A Turkish Company at the Champions League of Education" At the ASU+GSV Summit — attended by more than 7,000 global ...

Attorneys at Haynes Boone survey recent litigation, agency activity, and legislative trends shaping antitrust risk for users ...

Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain ...

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...

A team from the University of Córdoba is using artificial intelligence to forecast the annual solar energy available in ...

Paris startup Blify has raised $2.1M pre-seed to build an AI learning platform that delivers training inside Slack, Teams and ...

Science in the modern era is increasingly reliant on enormous datasets and automated analysis. In astronomy, the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST)—a ten-year survey ...

Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...