As hospitals move from AI experimentation to enterprise deployment, many are discovering that fragmented, poorly governed ...

Karp questioned the commercial model used by major frontier AI developers, arguing that many businesses are paying ...

Researchers at Newcastle University have carried out the first comprehensive modeling of glacial lake outburst flood (GLOF) ...

LLM training data mixture optimization breaks when training pools shift — every prior proxy experiment becomes stale.

Cardiovascular diseases remain a leading cause of mortality globally, driving the need for more precise diagnostic and predictive tools. Traditional ...

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.

Abstract: Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based services. Energy consumption models are pivotal in designing and optimizing energy-efficient ...

Anthropic's Claude Science is a workbench that gives scientists one environment to do computational research, saving them ...

Your AI system's ceiling is set by your data infrastructure quality. No model architecture improvement can break through that ...

AI data center grid reliability reached a federal tipping point with NERC’s 2026 State of Reliability report, which ...

How the operating challenges of AI data centers are changing, from controls complexity to skills gaps How technologies such ...