Real-world demonstration of skills on the job is more reliable than hours logged or written tests for ensuring safety.

A new study from researchers at Stanford University and Nvidia proposes a way for AI models to keep learning after deployment — without increasing inference costs. For enterprise agents that have to ...

Training is a cornerstone of successful change. As the university transitions to the new Time & Labor system, our goal is to ensure that every employee, supervisor, and HR professional feels prepared ...