Reform evaluation panels and grant review: ensure multidisciplinary review committees that include methodologists, applied ...

A few years ago, AI mostly showed up as clunky chatbots that struggled with the simplest questions. Today, the same family of models writes code and powers search engines. What changed? Under the hood ...

A team of mathematicians has recently taken steps to improve our ability to predict future data. It’s not exactly ...

The same thing happens to teams, even high-performing ones. In fact, if you don’t actively work to routinely update your ...

The Allen Institute for AI has unveiled Olmo 3, an open-source language model family that empowers developers with full access to the model lifecycle, from training datasets to checkpoints. Featuring ...

In both cases, it would be better to train the machine learning model with a loss function that ignores the human’s objective and then adjust predictions ex post according to that objective. We ...

Machine learning is increasingly recognized as a pivotal tool in the evolution of cardiovascular medicine, promising to ...

This study presents a valuable tool named TSvelo, a computational framework for RNA velocity inference that models transcriptional regulation and gene-specific splicing. The evidence supporting the ...

Machine learning models can predict postoperative hyperopic shift in patients with primary angle-closure glaucoma.