The agent acquires a vocabulary of neuro-symbolic concepts for objects, relations, and actions, represented through a ...

The closer organizations come to harmonizing accuracy, accessibility and AI, the more effectively they can unlock value that ...

AI autoscaling promises a self-driving cloud, but if you don’t secure the model, attackers can game it into burning cash or ...

Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...

A call to reform AI model-training paradigms from post hoc alignment to intrinsic, identity-based development.

The Kennedy College of Science, Richard A. Miner School of Computer & Information Sciences, invites you to attend a doctoral dissertation proposal defense by Nidhi Vakil, titled: "Foundations for ...

The AI terms you’re suddenly expected to understand — explained.

Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...

For years, the AI community has worked to make systems not just more capable, but more aligned with human values. Researchers have developed training methods to ensure models follow instructions, ...

The industrial control and factory automation market is poised for growth, fueled by the need for efficiency and a lack of ...

AI gives out bland mental health advice by default. Why? To a great extent, this is due to training-time patterning and ...

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...