A team led by Guoyin Yin at Wuhan University and the Shanghai Artificial Intelligence Laboratory recently proposed a modular machine learning ...

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional ...

By applying machine learning to experimental data in materials science, it may be possible to replicate such intuition ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

Teachers and school leaders can work together to ensure that report cards function as trustworthy indicators of what students ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...

In the shared video, when instructed to bring a can, the Menteebot V3 humanoid first interprets the spoken request, then ...

Because Promova works across smartphones and computers, you can keep your E-ink reader focused on the text while using a ...

Abstract Deep learning models have been successful in many areas, but understanding their behavior remains a challenge. Most prior explainable AI ...

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 ...

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