Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...

Why management education must stop fearing artificial intelligence and start embracing it to think deeply, question sharply, ...

The topic of AI and its implications for orthopedic surgeons became of high personal importance when Bill Gates predicted that AI would replace physicians and others within the next decade. As an ...

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...

Overview AI systems use sensors and computer vision to detect pests and diseases early, reducing crop damage and yield losses ...

The Steacie Prize is awarded to a person 40-years-old or younger, who has made notable contributions to research in Canada ...

Explore post-quantum cryptography in federated learning for Model Context Protocol training. Learn about quantum vulnerabilities, security measures, and real-world applications.

High school sophomore Abigail Merchant has made it her mission to use technology to reduce flood-related deaths. The ...

CERES program updates include operational satellite instruments, algorithm advancements, machine learning applications, and ongoing missions measuring Earth’s energy budget and climate system changes.

The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...