This figure shows how the STAIG framework can successfully identify spatial domains by integrating image processing and contrastive learning to analyze spatial transcriptomics data effectively.

Machine learning models showed roughly 40% improvement in diagnostic accuracy compared tostandard oral food challenges, skin prick tests, and ...

Read more about how machine learning and deep learning differ, where each is used, and how businesses choose between them in ...

Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.

Harness the power of Artificial Intelligence to drive innovation and solve real-world problems with the Gina Cody School's Microprogram in Applied Artificial Intelligence. This two-course 8-credit ...