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 ...

Artificial intelligence is colliding with the limits of the power grid, and the result is a frantic search for radically ...

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 ...

Today, we’re proud to introduce Maia 200, a breakthrough inference accelerator engineered to dramatically improve the economics of AI token generation. Maia 200 is an AI inference powerhouse: an ...

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

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 ...

The Ravens had their season come to a brutal end Sunday night when rookie kicker Tyler Loop missed a 44-yard field goal at the buzzer, which gave the Steelers a 26-24 win and the AFC North title.

Abstract: Adaptive observers have undergone sustained theoretical evolution and gained widespread industrial adoption due to their inherent capability for simultaneous parameter and state estimation ...