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

Some of the most effective brand investments don’t show ROI, attribution or lift. That’s exactly why AI struggles to value ...

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

AlphaGenome is a leap forward in the ability to study the human blueprint. But the fine workings of our DNA are still largely ...

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 ...

Elon Musk isn't a fan of X's algorithm, so he's documenting the company's efforts to improve the tech that decides what you see in the "For You" feed.

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 ...

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

Users can note which content they would like to view more frequently. Instagram is handing users some control in deciding what content they see. The social media giant is allowing users to have a say ...

ABSTRACT: Machine learning (ML) has become an increasingly central component of high-energy physics (HEP), providing computational frameworks to address the growing complexity of theoretical ...