The big challenge in deep learning is that you need a lot of data to train the neural network. Fortunately, one of my advisers, Cyrus Shahabi, had worked for many years on the problem of traffic ...

A massive, multi-year project led by over 150 scientists has produced the most detailed map yet of how visual information ...

Artificial intelligence models have immense potential for diagnosing myopia, assessing its risk factors, and predicting its ...

verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...