For more information about Artificial Intelligence at UC San Diego, visit the AI webpage.
Better simulations to understand how viruses work. Better ways to model and predict climate change. Better robots that can navigate the real world. Researchers from all across UC San Diego and around the world converged on campus last week to explore the promise of generative AI.
The nonprofit Learning Equality, co-directed by Jamie Alexandre '14 (Ph.D.), has reached millions using innovative technology, including AI.
Data scientists and computer scientists at the University of California San Diego are launching a new initiative to advance next-generation machine learning systems and develop innovative algorithms.
As one of the largest tuberculosis outbreaks in the U.S. unfolds in Kansas, UC San Diego researchers and their colleagues have published research describing the use of artificial intelligence tools to screen for new antimicrobial candidates to treat the disease.
Neuromorphic computing—a field that applies principles of neuroscience to computing systems to mimic the brain’s function and structure—needs to scale up if it is to effectively compete with current computing methods. In a review published Jan. 22 in the journal Nature, 23 researchers, including two from the University of California San Diego, present a detailed roadmap of what needs to happen to reach that goal.
Researchers have developed a noninvasive method to monitor the electrical activity inside heart muscle cells from the outside, avoiding the need to physically penetrate the cells. The method relies on recording electrical signals from outside the cells and using AI to reconstruct the signals within the cells with impressive accuracy.
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