Dear SDSC Collaborators, Partners and All Friends:
This issue brings together highlights from across the SDSC community, ranging from new approaches for treating tuberculosis to predicting frost events, analyzing brain activity and developing next-generation energy storage technologies.
These stories represent not only the breadth of work enabled by SDSC, but also how rapidly the needs of researchers and educators across the nation continue to evolve. One such shift is the growing set of requirements around how data is accessed, managed and protected.
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SDSC's Triton Shared Computing Cluster (TSCC) now offers a secure, NIST-compliant environment, giving researchers streamlined, high-performance computing access to sensitive, NIH-controlled biomedical and genomic datasets.
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SDSC and agricultural nonprofit F3 Innovate hosted a student competition to build AI-powered frost prediction models using supercomputing resources, with the goal of giving farmers earlier, more reliable warnings to protect their crops.
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Researchers used SDSC's Expanse and Purdue's Anvil supercomputers to simulate over 200 tuberculosis drug combinations, identifying treatment plans that could potentially cure infections faster and with lower doses than current standard regimens.
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SDSC's Expanse supercomputer is helping researchers develop next-generation sodium-based batteries — a cheaper, more abundant alternative to lithium-ion — that could make large-scale energy storage more sustainable and long-lasting.
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UC San Diego astrophysicist Mike Norman developed StarNet, an AI model that simulates primordial star formation at petascale. This enables faster, larger cosmological simulations to complement observations from instruments like the James Webb Space Telescope.
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Backed by a $4.85 million NIH award, UC San Diego is expanding its NeuroElectroMagnetic Data Archive and Tools Resource (NEMAR) platform at SDSC into a high-performance computing hub to accelerate advanced, open-source Neuro-AI modeling and brain research.
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The Seventh National Research Platform (7NRP) workshop recently convened at UC San Diego, gathering national cyberinfrastructure leaders to discuss the strategic vision for its federated, cloud-native platform. Key sessions spotlighted the power of personalized AI tutors in classrooms alongside the platform's unique ability to handle data-intensive, "bursty" computing workloads — such as powering real-time wildfire simulations and driving scalable AI innovations in agriculture.
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SDSC and CENIC are building a shared AI computing infrastructure called CENIC AIR — now spanning more than 20 California campuses — that lets community colleges and CSUs own a share of advanced computing hardware while they handle operations, giving the 96.5% of California's non-research colleges equitable access to the same AI tools as major research institutions.
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Researchers from the San Diego Supercomputer Center, Scripps Institution of Oceanography, North Carolina State University and the National Center for Supercomputing Applications recently hosted the FARR Workshop in Washington, D.C.
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This year, the competition brought together 12 teams across four continents, with approximately 55–60 students participating. Over the course of three days, the event ran across multiple time zones, supported by a dedicated student committee, whose coordination and commitment made the experience seamless for everyone involved.
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The future of STEM was on full display at the recent Mentor Assistance Program (MAP) Symposium hosted at SDSC. This year, 47 talented high school students from across San Diego County presented research projects spanning fields from medicine and engineering to computer science and physics.
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Social Media and Video Highlights |
UC San Diego has established the Halıcıoğlu School of Data Science and Computing thanks to $125 million in support from alumnus Taner Halıcıoğlu (center). The school positions UC San Diego at the forefront of data science, artificial intelligence and advanced computing education and research.
| As part of the ACCESS ecosystem, this NSF-funded resource empowers researchers to tackle massive datasets using the next generation of artificial intelligence and deep learning tools.
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SDSC Innovators newsletter is published six times a year, every two months.
To submit information to be included in the next edition, please send details to kbruch@ucsd.edu.
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