An independent evaluation in PLOS Digital Health finds that deep learning models excel at breast cancer detection from medical images...

Researchers have unveiled a triple-stream deep hashing framework that compresses multi-label images into compact binary codes with higher accuracy and...

A new multimodal AI framework fuses RGB images, segmentation masks, depth maps, and text prompts to estimate robotic gripper pressure...

A new book by University of Illinois professor John Gallagher draws on interviews with more than 100 AI and machine...

Researchers have developed a physics-informed machine learning framework that predicts the remaining useful life of electric vehicle drive systems with...

A new few-shot object detection framework called FUSED-Net detects traffic signs with up to 2.4 times better accuracy than state-of-the-art...

Researchers show that a selective embedding data loading strategy alternating X-ray and CT scans lets deep learning models reach competitive...

A new survey compares marker-based, markerless and thermal imaging approaches to human pose estimation for detecting gait changes linked to...

Researchers harnessed a pathology foundation model to read endometrial biopsy slides, predicting IVF live birth outcomes and identifying the receptive...

New research shows that coarse, smoothed labels in continental-scale AI mineral prospectivity maps artificially inflate model performance while erasing high-probability...