One of the best ways to protect artists’ creative work is to prevent it from ever being seen by “AI crawlers” – the programs that harvest data on the Internet for training generative models. But most artists don’t have access to the tools that would allow them to take such actions.
A new AI tool could make it much easier — and cheaper — for doctors and researchers to train medical imaging software, even when only a small number of patient scans are available. It could lead to faster, more affordable diagnostic tools, especially in hospitals and clinics with limited resources.
A team of University of California San Diego researchers has deployed a groundbreaking new platform to advance science and technology that addresses wildland fire challenges in an era of more frequent and devastating megafires.
Computer scientists are challenging the common practice of using a single machine learning (ML) model to make such critical decisions. They asked how people feel when “equally good” ML models reach different conclusions.
“The Exodus means many things to many people,” says Distinguished Professor Tom Levy, who organized the event at the UC San Diego Qualcomm Institute.
Startup Polaris Electro-Optics is developing a device that enables higher speed, more efficient and more cost-effective data transfer, leveraging facilities at UC San Diego Qualcomm Institute and the talent of UC San Diego alumni.
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