AI, Security and Next Generation Science
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Dear SDSC Collaborators, Partners and All Friends:
Throughout SDSC's 40-year history, we have continually evolved to advance the frontiers of science through innovations in data, computing and AI. As we help shape and navigate AI’s transformative impact on science, technology, education and society, I am excited to share with you that SDSC is leading the U.S. NSF National Artificial Intelligence Research Resource Operations Center (NAIRR-OC) in close collaboration with our partners at the Texas Advanced Computing Center. From empowering breakthroughs like the computing expertise behind Francis Halzen’s 2026 Nobel Prize-winning IceCube research, to building the future of NSF-funded national research infrastructure through the NAIRR-OC, the National Data Platform and Expanse2, SDSC continues to pioneer what is possible.
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SDSC will lead the NAIRR-OC in collaboration with the Texas Advanced Computing Center to build the operational foundation for a sustained national AI research infrastructure to accelerate discovery, workforce development and innovation.
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A new $8.48 million partnership will install two solid state transformers and controller at SDSC. The project could change how AI data centers receive and manage electricity while helping prevent them from overwhelming California's power grid.
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A long-standing collaboration with SDSC has helped provide the computing expertise for the search for high-energy neutrinos from space, work recognized this week with the 2026 Nobel Prize in Physics to Francis Halzen.
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To meet growing national demand for high-performance computing, NSF has awarded $10 million to SDSC to deploy Expanse2, a next-generation supercomputer supporting scientific discovery, AI-driven research and HPC education nationwide.
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SDSC's Sherlock Secure Cloud has achieved FedRAMP Moderate equivalency, making UC San Diego the only known higher education institution to pair that achievement with Cybersecurity Maturity Model Certification (CMMC) Level 2 certification. This achievement positions Sherlock to help universities, researchers and defense organizations work with federally sensitive information in a secure, compliant environment.
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NSF awarded $9M to a UCLA-led team, including SDSC, for a 3-year initiative to build the Interactive Discovery Laboratory (iDLab), uniting research computing, data and applications across national computing centers and cloud platforms.
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Rutgers University graduate students, working in collaboration with SDSC, recently won an award for the “Best Student Full Paper (Systems)” at the Practice and Experience in Advanced Research Computing (PEARC) 2026 conference. Their paper was titled A Comparative Study on LLM-enabled HPC User Support.
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SDSC’s Daniel Diaz (co-PI) is working on the UC San Diego team to construct the data pipeline as well as the preprocessing, constructing and validating the anomaly detection model, then eventually evaluating the use of the model for data taking at the LHC for this project.
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Using the Voyager AI supercomputer, researchers from GA and SDSC have worked together on a new study that shows how AI can help control ultrafast high-power laser systems, potentially advancing microchip manufacturing, improving non-destructive scanning of cargo and waste, and providing new tools for medical therapies.
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When light shines on an atom, it can knock electrons loose. Scientists have studied this process for decades, but many questions remain. A team of international researchers have been using SDSC's Expanse among other NSF ACCESS HPC resources to investigate how electrons behave when exposed to different types of laser light.
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Researchers and educators recently gathered at SDSC for the HPC and Data Science Summer Institute and the Cyberinfrastructure-Enabled Machine Learning (CIML-26) Summer Institute. The annual programs are focused on teaching researchers and students about high-performance computing and techniques for scaling data science and machine learning workloads on HPC systems.
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A new special issue of AI Magazine, FAIR Principles and Machine Learning, AI Readiness, and AI Reproducibility, features research from the FAIR Principles and Machine Learning, AI Readiness and AI Reproducibility (FARR) community. Its five papers examine the intersection and continuing relevance of the FAIR principles in the age of AI, moving beyond aspirational tenets toward concrete, operational practices for making data, models and workflows ready for AI-driven science.
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The Wildfire Science & Technology Commons recently convened more than 80 experts for a landmark modeling exercise using standardized semi-synthetic datasets to tackle inconsistent definitions of wildfire risk. By fostering unprecedented transparency and open-source collaboration across public agencies, research institutions and tech organizations, the initiative laid the groundwork for a more modular and interoperable future in fire risk assessment.
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This summer, SDSC became a testbed for bringing big data and high-performance computing into the modern classroom. The goal? To make data-intensive lessons easier for instructors to teach and for students to access.
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All events are held remotely unless otherwise noted.
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As Societal Computing and Innovation Lab's Associate Director of Education, Pedro embodies the spirit of science gateways: masterminding data challenges, helping educators use the National Data Platform Education Hub, and encouraging students to explore and get hands-on with real data.
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Halıcıoğlu School of Data Science and Computing Dean Rajesh Gupta joined the U.S. News & World Report Future of Higher Education Forum for a wide-ranging conversation on technology, innovation and the changing role of universities.
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His two-year project, “AI-driven binding free energy prediction for next-generation computational drug design,” will be completed in conjunction with his work in the lab of Andreas Götz, who is an associate research scientist at SDSC.
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Early this month, the Fast Machine Learning for Science Conference took place at UC San Diego. SDSC researchers gave a tutorial on Voyager, San Diego Supercomputer Center HPC system specifically designed for AI workflows powered by Intel Gaudi accelerators.
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NSF Funds New Center to Design Reliable, Self-Correcting Quantum Computers
A multidisciplinary team of researchers including computer scientists at UC San Diego has been awarded a $37.5 million NSF grant for a center aimed at designing practical and self-correcting quantum computers from top to bottom, and pointing the way forward for industry to build reliable machines.
By Shaping and Shrinking Light, Engineers Alter a Material's Magnetic Properties
A new approach that uses light to switch the magnetic states of a material could lead to faster, smaller and more energy-efficient data storage.
Learn at the Library: Keep Your Options Open – Finding, Using and Sharing Open Data
October 20, 3 – 4 PM at Geisel Library
This workshop breaks down what open data is, highlights the best topic-specific data sources across disciplines, and explores sources for geospatial (GIS) data.
Learn at the Library: Getting Started with GIS
October 27, 3 – 4 PM at Geisel Library
This introductory workshop aims to provide an overview of available GIS and mapping tools as well as resources to help you get started.
Workshops at UC San Diego Library
Choose from a variety of interactive workshops focusing on unique Library resources and services, from research tools to digital collections. All instructional workshops are open to UC San Diego students, faculty, and staff.
For a full listing of news around campus, please visit UC San Diego Today.
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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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