Bacterial infections obtained in hospitals kill a few periods as a lot of persons as automobile mishaps each and every yr in the United States.
That statistic drove Fei-Fei Li, the Sequoia Professor in the Laptop or computer Science Department at Stanford University, to look into whether laptop eyesight, a area of synthetic intelligence that enables equipment to see and recognize the visible world, could tackle this problem.
Enhancing client safety in overall health treatment is a person of quite a few apps of AI that Li, co-director of Stanford’s Human-Centered AI Institute, will go over in the once-a-year Cornell Center for Social Sciences (CCSS) Distinguished Lecture in the Social Sciences on Oct. 5 at 4:30 p.m.in Statler Auditorium.
Her communicate, “What We See and What We Worth: AI with a Human Standpoint,” is co-sponsored by the Cornell Ann S. Bowers School of Computing and Details Science and the Middle for Data Science for Company and Culture.
Li’s investigate, done at the Lucile Packard Children’s Clinic at Stanford, located that sensors could detect irrespective of whether hospital staff members experienced utilised a hand hygiene dispenser right before entering a patient’s place – an crucial observe in preventing healthcare facility-obtained bacterial infections – as precisely as human observers could.
“Fei-Fei Li is a visionary researcher who has been deeply influential in the fields of laptop or computer eyesight and synthetic intelligence,” claimed Kavita Bala, dean of Cornell Bowers CIS. “As co-director of Stanford’s Human-Centered AI Institute, Fei-Fei carries on to guide the community’s considering on exactly where AI is heading in this time of rapid innovation.”
Peter Enns, the Robert S. Harrison Director of CCSS and professor in the Higher education of Arts and Sciences and the Cornell Jeb E. Brooks School of Community Policy, extra that Li is a pioneer in the information archiving area and a major national voice for advocating for range in STEM and AI. She has also worked with policymakers nationally to guarantee the dependable use of engineering.
One of Li’s greatest-known tasks is ImageNet, a database credited with revolutionizing AI study that she
