Google's new Graph Foundation Model delivers up to 40 times greater precision and has been tested at scale on spam detection.

A new AI model accurately detected cardiac amyloidosis from echocardiograms with higher accuracy vs. other amyloidosis risk ...

In essence, AutoML for Embedded uses advanced algorithms like SMAC and Hyperband to automate model search and tuning. Further ...

A deep learning system can accurately detect vision-threatening diabetic retinopathy, demonstrating specialist-level diagnostic performance.

A still image from a numerical simulation of a black-hole binary merger. Credit: LIGO - N. Fischer, H. Pfeiffer, A. Buonanno ...

Introduction to Computer Vision in HealthcareLet’s face it—healthcare can be slow, expensive, and prone to human error. But what if a camera and some smart algorithms could help change that? That's ...

Artificial intelligence that detects surgical site infections from patient-submitted photos with 73% accuracy could enhance patient care and also reduce clinician burdens following surgeries.

With EAGLE, lung cancer biopsy analysis is expedited, accurately predicting EGFR mutations and streamlining the diagnostic process for better patient outcomes.

Deep learning has emerged as the dominant driver of anti-spoofing accuracy. Techniques like MobileFaceNet integrated with ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...