For more information about Artificial Intelligence at UC San Diego, visit the AI webpage.
A framework based on advanced AI techniques can solve complex, computationally intensive problems faster and in a more more scalable way than state-of-the-art methods, according to a study led by engineers at the University of California San Diego.
“The problem World Mobile is solving has global implications,” says Stuart Volkow, World Mobile program manager. “Those without [connectivity] are doomed to relative poverty.”
From improving tools for robot-assisted surgery to studying how humans prefer to interact with robots, collaborations across different departments at the Jacobs School of Engineering are in the spotlight in this year’s accepted papers for the 2024 IEEE International Conference on Robotics and Automation.
The U.S. National Science Foundation (NSF) and the Department of Energy have announced the first 35 projects that will be supported with computational time through the National Artificial Intelligence Research Resource (NAIRR) Pilot, marking a significant milestone in fostering responsible AI research across the nation. The initial call for applicants was issued in January 2024.
AI holds the potential to help doctors find early markers of disease and accelerate research on other important scientific advances. But a growing body of evidence has revealed deep flaws in how machine learning is used in science, a problem that has swept through dozens of fields and implicated thousands of erroneous papers.
Computer scientists from the University of California San Diego Jacobs School of Engineering have proposed a novel solution to optimize the tremendous potential of deep generative models while mitigating the production of content that is biased or toxic in nature.
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