Researchers at Shanghai University have developed a physics-constrained, data-efficient artificial intelligence framework ...

The paper addresses the AI shutdown problem, a long-standing challenge in AI safety. The shutdown problem asks how to design AI systems that will shut down when instructed, will not try to prevent ...

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

Gunn is part of a research team at UC Berkeley that has developed an undetectable watermark for generative image models. The ...

The rise of the AI gig workforce has driven an important shift from commodity task execution to first-tier crowd contribution ...

The Department of Energy spearheads the AI-focused Genesis Mission. Learn about the initiative and DOE's partners.

This important study combines optogenetic manipulations and wide-field imaging to show that the retrosplenial cortex controls behavioral responses to whisker deflection in a context-dependent manner.