May 18, 2023
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.
September 5, 2023
Tritonlytics Team member Wayde Gilliam shares how he brought this passion for AI to the university, creating tools that help the team focus on the most important aspects of their work, including the Staff@Work Survey which runs now through September 15.
November 2, 2023
Artificial intelligence in all its varied forms is rapidly accelerating, transforming our everyday lives and providing a powerful tool for scientific research. But what does it all mean and what does the future hold? Six UC San Diego experts share their insights.
December 5, 2023
A virtual event hosted by the School of Biological Sciences offered attendees from around the world a glimpse into how artificial intelligence is being used to accelerate scientific discovery and shape biomedical research, both in academia and industry.
August 22, 2023
Move over, ChatGPT: These artificial intelligence-powered technologies and innovations being developed and implemented at UC San Diego could lead to the next developments in the “AI revolution.”
September 14, 2023
Interns with the UC San Diego Qualcomm Institute’s NeuroDiversity in Tech program learn the skills to thrive in the technology industry.
October 6, 2023
Researchers from the UC San Diego Qualcomm Institute have helped create a text-to-music diffusion model for human-machine creativity.
March 19, 2024
There’s a new bot on campus. Meet TritonGPT—UC San Diego’s specialized artificial intelligence-powered information and resource assistant.
March 13, 2024
Neural networks remain a black box whose inner workings engineers and scientists struggle to understand. Now, a team led by data and computer scientists at the University of California San Diego has given neural networks the equivalent of an X-ray to uncover how they actually learn.
January 23, 2024
Researchers with UC San Diego School of Medicine found that utilizing a unique AI algorithm to monitor several patient variables detected sepsis quicker.
