In all, 180 students have received research fellowships this summer, many of whom are undertaking their work on campus, ...

Robust, deployable and collaborative machine learning (ML) methods are needed for AI to become truly useful. This ERC-funded research aims to solve a major ML bottleneck and will form a cornerstone of ...

Southwestern Adventist University is expanding its academic offerings with a new Machine Learning Certificate Program designed to equip students with skills in one of the fastest-growing areas of ...

Computer science student Ashley Baird is the kind of person who thrives on completing what she starts. Baird's drive to see things through resulted in a successful machine learning project for the U.S ...

A unified ML management system requires careful orchestration of multiple components, from experiment tracking with MLflow to model serving with FastAPI. Interactive ...

Most ML projects fail to reach production. Five recurring pitfalls drive failures in ML projects: choosing the wrong problem, data quality/labeling issues, the model-to-product gap, offline-online ...

Arjun Goli, a 14-year-old rising sophomore from Saratoga, developed a hearing aid that can isolate specific voices in noisy ...