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.

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 ...