Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its output. Concept ...

Researchers who helped to test OpenAI’s new large language model, OpenAI o1, say it represents a big step up in terms of chatbots’ usefulness to science. Has your paper been used to train an AI model?

So-called “unlearning” techniques are used to make a generative AI model forget specific and undesirable info it picked up from training data, like sensitive private data or copyrighted material. But ...

People have always looked for patterns to explain the universe and to predict the future. “Red sky at night, sailor’s delight. Red sky in morning, sailor’s warning” is an adage predicting the weather.

Consistent with the general trend of incorporating artificial intelligence into nearly every field, researchers and politicians are increasingly using AI models trained on scientific data to infer ...

Chris G. Whipple is a principal in ENVIRON International Corporation in Emeryville, California, which provides consulting services mainly to private industry. His professional interests are in risk ...

NVIDIA and NSF Partner to Build Fully Open AI Models for Science Your email has been sent The National Science Foundation and NVIDIA are investing $152 million in an open-source AI initiative led by ...