An automated MRI-based deep learning method segmented 4,908 hips from the Generation R cohort, establishing the first population-level 3D reference...

Digital citizenship has become one of the most dynamic and contested concepts in contemporary social research, and a major new...

A Caltech-led team has shown that a recurrent neural operator can forecast irreversible tipping points in climate and aerodynamic models...

A systematic review of 50 studies reveals that federated learning, differential privacy, and secure computation each carry distinct mathematical trade-offs...

Researchers have combined YOLOv12 detection, capsule networks, reinforcement learning, and Harris Hawks Optimization into a real-time face detection framework that...

Researchers have developed an attention-enhanced residual network that converts structural vibration data into Markov transition field images and detects local...

Machine learning is accelerating target identification, toxicity prediction and drug repurposing, but researchers insist algorithmic discoveries still demand rigorous experimental...

Deep learning models trained on noisy acoustic signals can classify and localize natural gas pipeline leaks with over 99% accuracy,...

A new dynamic framework argues that in markets run by learning algorithms, equilibrium emerges only as a possible outcome of...

A two-tier AI system pairs a fast YOLOv11m detector with a SAM 3 segmentation verifier to cut false alarms in...