Generative AI systems operate differently enough that some assumptions underpinning today's governance approaches warrant ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Scaling agentic AI demands a strong data foundation - 4 steps to take first ...

As technology and regulations evolve, enterprises need to address data governance throughout pipelines, models, and AI agents ...

Intelligence without integrity is just sophisticated risk. To build AI that lasts, you have to apply zero-trust principles to your data pipelines and treat model endpoints like sensitive APIs.

Researchers have developed a machine-learning classifier capable of analyzing the genomes of influenza A viruses to ...

They also let users adopt tiered approaches with containerized software at the edge-computing layer.” To connect legacy PLCs ...

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...

With data quality and governance key to AI success, IT leaders — and their CEOs — can no longer overlook data debt. Experts ...

Born in Rizhao, China, Qin overcame early hardships during the Cultural Revolution to pursue higher education at Tsinghua ...

Tungsten's superior performance in extreme environments makes it a leading candidate for plasma-facing components (PFCs) in ...