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.
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.
Antimicrobial resistance (AMR) is diminishing the effectiveness of existing antibiotics and intensifying the need for discovery pipelines that are both ...
Machine learning algorithms that output human-readable equations and design rules are transforming how electrocatalysts for ...
Robot perception and cognition often rely on the integration of information from multiple sensory modalities, such as vision, ...
WEST LAFAYETTE, Ind. - Purdue University has received a four-year $2.3 million federal Department of Education grant to study why active-learning strategies help student retention, success and ...
The classic mode of lecturing is pretty passive, with the teacher on the stage and delivering content and the students sitting and, hopefully, listening,” Jackson says. His approach, on the other hand ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results