TrainCheck uses training invariants to find the root cause of hard-to-detect errors before they cause downstream problems, ...

Fine-tuned “student” models can pick up unwanted traits from base “teacher” models that could evade data filtering, ...

MINNEAPOLIS — A deep learning model trained on fundus photographs showed promise in the detection of severe glaucoma, with lower accuracy in mild to moderate cases, according to a poster ...

An international team led by Einstein Professor Cecilia Clementi in the Department of Physics at Freie Universität Berlin ...

But the fact that Reagor could already be on the chopping block in spite of the Chargers badly needing wide receiver help unfortunately does not say much for his career trajectory.

Despite the AI hype, tools are proving valuable for leading-edge chip manufacturing. More aggressive feature scaling and ...

A federal judge sided with Meta in a lawsuit that alleged the company had illegally trained its AI models on copyrighted works.

MIT researchers develop a new AI model that learns from unlabelled data, reducing dependence on manual annotation and accelerating training.

The open benchmark competition will evaluate the ability of AI-powered virtual cell models to generalize to new cell contexts for therapeutic applications.