End-user computing has become an area of major importance to organizations over the past several years. As non-professional computer users come to rely on computer systems to perform more and more of ...

Currently, mainstream AI alignment methods such as Reinforcement Learning from Human Feedback (RLHF) and Direct Preference Optimization (DPO) rely on high-quality human preference feedback data.

Researchers developed a faster, more stable way to simulate the swirling electric fields inside industrial plasmas -- the kind used to make microchips and coat materials. The improved method could ...

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

UC Riverside researchers have created a certified unlearning method that removes sensitive or copyrighted data from AI models ...