A new UC San Diego study published in JAMA Network Open provides an early look into how artificially intelligent assistants could help answer public health questions.
Biologists have used machine learning, a type of AI, to identify “synthetic extreme” DNA sequences with specifically designed functions in gene activation. They tested 50 million DNA sequences and found synthetic DNA sequences with activities that could be useful in biotechnology and medicine.
A new study published in JAMA Internal Medicine compared written responses from physicians with those from ChatGPT to real-world health questions. A panel of licensed healthcare professionals preferred ChatGPT’s responses 79% of the time.
An innovative food and nutrition project is uniquely combining artificial intelligence and social enterprise business models to help address the challenge of food deserts in the U.S.
In a new paper relevant to artificial intelligence and ChatGPT, Professor Terrence Sejnowski explores the relationship between the human interviewer and language models to uncover why chatbots respond in particular ways, why those responses vary and how to improve them in the future.
Camille Nebeker, Ed.D., associate professor at the Herbert Wertheim School of Public Health and Human Longevity Science at UC San Diego, was a member of the University of California Presidential Working Group on Artificial Intelligence that was launched in 2020. UC adopted the recommendation to guid
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