Chemists at Yokohama National University combined competition experiments, 3D electronic data and machine learning to predict ...

A deep learning pipeline combining YOLOv5 detection, skeleton extraction and neural network classification can recognize ...

Ishaan Dokania, a sixth-grader from Oregon, is exploring lithium resource identification using satellite imagery and machine learning. His project reached 89% accuracy in predicting potential lithium ...

A novel machine learning model accurately screened for psychologic distress in patients with chronic rhinosinusitis using routine clinical variables.

By simulating human visual processing with a deep neural network, researchers have discovered a computational marker that predicts an adolescent's risk for developing depression up to four years ...

Effective learning isn't just about finding the easiest path—it's about the right kind of challenge. Two prominent theories—Desirable Difficulties (DDF) and Cognitive Load Theory (CLT)—offer valuable ...

Q-learning is a machine learning approach that enables a model to iteratively learn and improve over time by taking the correct action. Q-learning is a type of reinforcement learning. With ...

Affirm unveiled a transformer-based machine learning model for real-time underwriting, outperforming its existing system after 18 months of ...

The basis of social learning theory is simple: People learn by watching other people. We can learn from anyone—teachers, parents, siblings, peers, co-workers, YouTube influencers, athletes, and even ...

Over the past two decades, the biggest evolution of Artificial Intelligence has been the maturation of deep learning as an approach for machine learning, the expansion of big data and the knowledge of ...