The understanding has sunk in that the winner in battle will be the one who holds the smartest model inside the missile’s ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

While human-in-the-loop is a critical starting point of responsible GenAI adoption, it is far from the full extent required ...

A new technique from Stanford, Nvidia, and Together AI lets models learn during inference rather than relying on static ...

Amidst surging computing demand and fluctuating conditions in European energy markets, energy efficiency has become an increasingly important factor in the economics of data center operations. Dr.

Researchers say that the recommendation algorithm published by X doesn't offer the kind of transparency that would actually ...

Data-driven AI systems increasingly influence our choices, raising concerns about autonomy, fairness, and accountability. Achieving algorithmic autonomy requires new infrastructures, motivation ...

Put rules at the capability boundary: Use policy engines, identity systems, and tool permissions to determine what the agent ...

AI has the potential to accelerate operations, but this raises a new challenge: how to keep humans in the loop when AI can move faster than we do.

Elon Musk's social network X (formerly known as Twitter) last night released some of the code and architecture of its overhauled social recommendation algorithm under a permissive, enterprise-friendly ...

Abstract: Efficient rigid-body dynamics algorithms are instrumental in enabling high-frequency dynamics evaluation for resource-intensive applications (e.g., model predictive control, large-scale ...