Researchers have determined how to build reliable machine learning models that can understand complex equations in real-world situations while using far less training data than is normally expected.

Osaka Metropolitan University researchers introduced a technique to enhance the reliability of gravitational wave parameter estimation results produced by machine learning. The team developed two ...

A new communication-collective system, OptiReduce, speeds up AI and machine learning training across multiple cloud servers by setting time boundaries rather than waiting for every server to catch up, ...

Please provide your email address to receive an email when new articles are posted on . The model demonstrated a high degree of predictability for postpartum depression. Of those predicted to have a ...

Cars that move independently through traffic; software that recognizes malignant changes in the lungs on X-ray images; chat bots that pass demanding entrance exams at US universities. In recent years, ...

Discover how AI and machine learning are transforming electric utilities—boosting grid reliability, resilience, and ...

Ambuj Tewari receives funding from NSF and NIH. The microplastics project is funded by the “Meet the Moment” initiative of the University of Michigan's College of Literature, Science, and the Arts.

The rapid expansion of artificial intelligence initiatives across enterprise environments has given rise to a new class of ...

Machine learning is a multibillion-dollar business with seemingly endless potential, but it poses some risks. Here's how to avoid the most common machine learning mistakes. Machine learning technology ...