Scientists from the Scripps Institution of Oceanography at UC San Diego developed new technology to study coral reefs, by creating detailed 3D photomosaics and software that allows researchers to digitally classify corals. A new study in Coral Reefs used this technology to analyze the reef at Palmyra Atoll, where researchers made discoveries around coral spatial ecology.
In an unprecedented move, UC San Diego Health and UCI Health have formed a strategic partnership to increase operational efficiencies and decrease patient care costs by sharing a single electronic medical records (EMR) platform.
The San Diego Supercomputer Center (SDSC) at the University of California San Diego received two key HPCwire awards for 2017, recognizing the use of its Comet supercomputer in the areas of artificial intelligence (AI) research and the life sciences.
Primary liver cancer is now the second leading cause of cancer-related death worldwide, and its incidences and mortality are increasing rapidly in the United Stated. In late stages of the malignancy, there are no effective treatments or drugs. However, an unexpected finding made by a team of University of California San Diego School of Medicine researchers sheds light on the development of a new strategy for prevention of liver cancer.
A faster collision detection algorithm could enable robots to work more fluidly in the operating room or at home for assisted living. The algorithm, dubbed “Fastron,” runs up to 8 times faster than existing collision detection algorithms. It uses machine learning to help robots avoid moving objects and weave through complex, rapidly changing environments in real time.
Now, Salk and University of California San Diego scientists have discovered that the fruit fly brain has an elegant and efficient method of performing similarity searches. For flies, it helps them identify odors that are most similar to those they’ve encountered before, so they know how to behave in response to the odor, such as to approach or avoid it. New details on the fly’s computational approach to smelly similarity searches, described in the journal Science on November 9, 2017, could inform computer algorithms of the future.
Keep up with all the latest from UC San Diego. Subscribe to the newsletter today.
