Abstract: In low-light conditions, the detection scene can be harsh, some fundamental image features of the target to be lost, which can result in the disappearance of essential visual characteristics ...

By explicitly modeling each step of a problem and gradually fading away supports, teachers can give students a clear path to mastering new content.

As AI tools evolve at a rapid pace, smaller, more flexible learning environments are well-positioned to test new approaches, develop expectations, and adjust as needed.

MIT researchers unveil a new fine-tuning method that lets enterprises consolidate their "model zoos" into a single, continuously learning agent.

Researchers at the University of Bayreuth have developed a method using artificial intelligence that can significantly speed up the calculation of liquid properties. The AI approach predicts the ...

Abstract: A desirable objective in self-supervised learning (SSL) is to avoid feature collapse. Whitening loss guarantees collapse avoidance by minimizing the distance between embeddings of positive ...