Automated machine learning has long promised to hand the power of deep learning to scientists who never trained as programmers, yet most of these tools deliver a finished model with little explanation ...

Over New Mexico’s Middle Rio Grande wetlands, a drone counted more than 20,000 ducks from the sky, then deep-learning ...

Minimally invasive imaging has long faced an uncomfortable trade-off: the deeper a physician needs to look inside the body, ...

How do humans make remarkable decisions with limited data and computing power—and what can that efficiency teach us about AI?

Endomicroscopy provides critical pathophysiological information for the diagnosis of gastrointestinal, pulmonary, and neurological abnormalities by ...

Explainable Artificial Intelligence (XAI) encompasses a broad spectrum of methods that aim to enhance the transparency of deep learning models, with Class Activation Mapping (CAM) methods widely used ...

Analogue outcrops can be a source of fracture information beyond the resolution of seismic and well profiles, providing geometric, topological, and geomechanical characteristics of the discrete ...

Nguyen and colleagues developed and evaluated a deep-learning model for detecting diabetic macular edema (DME) using three-dimensional optical coherence tomography (OCT) scans. In a real-world ...

AI research often looks impressive in a controlled environment. The harder question is what happens when those systems have ...

Are we shaping our feeds or are they shaping us — and is this healthy? Faculty weigh in recommendation algorithms.

For students seeking international experience, studying abroad can offer opportunities that extend well beyond the classroom.