Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.

There's been a seismic shift in science, with scientists developing new AI tools and applying AI to just about any question that can be asked. Researchers are now putting actual seismic waves to work, ...

As biomedical research prioritizes human models and translational promise, classic model organisms are increasingly dismissed. Here we argue that they have a lasting value, both in enabling discovery ...

Table 1 Comparison of SciCUEval with existing benchmark datasets. By cohesively unifying breadth of domain coverage, diversity of data modalities, and depth of reasoning evaluation, SciCUEval offers a ...