SDSC has been awarded an EAGER award to enable research groups to effectively use NVIDIA DGX cloud platforms. This includes optimization of system setups, performance monitoring and determining the best ways to run National Artificial Intelligence Research Resource Pilot projects on the resources.
A San Diego team is part of a major undertaking that will bring together more than 40 scientists, doctors, and industry experts hand-picked from around the country to make vision-restoring whole eye transplants a reality. At UC San Diego, a research team led by Professor Shadi Dayeh, in the Department of Electrical and Computer Engineering, will develop a wireless, multi-modal electrode system to wire the optic nerve to the brain with high-end precision after an eye transplant to restore vision.
With financial technology (fintech) a focal point of India’s changing 21st century economy, the University of California San Diego has joined a consortium in partnership with Gujarat International Finance Tec-City (GIFT City), Ahmedabad University and IIT Gandhinagar to launch the GIFT International Fintech Institute (GIFT IFI) aimed at establishing India as a global leader in fintech. As the first university of its kind in the U.S. to step into the economic growth trajectory of India and the surrounding region, UC San Diego will help deliver advanced training and research and nurture top talent to meet the sector’s evolving needs
Engineers at UC San Diego discover how nanoscale bumps and grooves on growing surfaces can influence cellular metabolism, offering new possibilities for medical therapies and tissue engineering.
The algorithms behind generative AI tools like DallE, when combined with physics-based data, can be used to develop better ways to model the Earth’s climate. Computer scientists in Seattle and San Diego have now used this combination to create a model that is capable of predicting climate patterns over 100 years 25 times faster than the state of the art.
New research from UC San Diego suggests that large language models like GPT-4 could streamline the process of gene set enrichment, an approach what genes do and how they interact. Results bring science one step closer to automating one of the most widely used methods in genomics research.
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