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 ...

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

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

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

A new study presents a zero-shot learning (ZSL) framework for maize cob phenotyping, enabling the extraction of geometric ...

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

The filing marks the first attempt to bring TAO, Bittensor’s native token, to U.S. markets through a regulated investment ...

Just when you think you’ve wrapped your mind around computers that can put your dog in front of the Eiffel Tower or chatbots ...

One of the most overlooked aspects of AI tools for CAS is how simple tweaks can make a huge difference on the bottom line and ...

What just happened? TSMC has begun volume production of chips based on its N2 process technology, marking a major new step in 2nm-class node manufacturing. The company disclosed the milestone on its ...

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.