A $8.48 million project will test innovative power technology at UC San Diego. The San Diego Supercomputer Center will serve as the testing ground for this project, which aims to improve the efficiency of these energy-intensive facilities. Researchers are also leveraging the Expanse supercomputer to create TRIP50, a benchmark designed to identify hidden errors in material design software, and to advance AI-driven control of ultrafast, high-energy laser systems in partnership with General Atomics.

Spatial Data Science Integrates AI for Public Health & Urban Solutions

UC San Diego students are now directly applying spatial data science and machine learning to address complex challenges in public health and urban planning through a new course, bridging geographic information systems with advanced analytical techniques. This hands-on learning experience reflects a growing trend of integrating AI into fields demanding geographically-informed solutions, moving beyond theoretical applications to practical problem-solving. The curriculum emphasizes real-world applications, allowing students to develop skills immediately relevant to a range of careers.

The National Science Foundation recently awarded funding to establish iDLab, a unified research environment that includes a team from the San Diego Supercomputer Center, further bolstering the infrastructure supporting this type of interdisciplinary work. This funding will help accelerate the development of wildfire technology using advanced computing, artificial intelligence and integrated workflows.

UC San Diego researchers are also leading a collaborative project to expand a national platform connecting data, computing, and AI resources, demonstrating a broader effort to democratize access to these powerful tools. According to sources, researchers created TRIP50 using supercomputing power, highlighting the importance of high-performance computing in ensuring the reliability of complex simulations. This capability extends to diverse fields; for example, scientists are leveraging Expanse to better understand bone-like minerals by introducing light-emitting properties, making it easier to see in bioimaging applications.

AI is also being applied to environmental challenges; a recent hackathon hosted by UC San Diego, organized by the United Nations, challenged students and developers to create innovative software for wildfire prevention. Google.org supports the Societal Computing and Innovation Lab to accelerate AI wildfire solutions, demonstrating a focus on leveraging AI to mitigate the growing risks associated with climate change and natural disasters.

General Atomics is partnering with SDSC to advance research into using AI-driven models to control ultrafast, high-energy laser systems through the Voyager program. This collaboration highlights the potential of AI to unlock control over systems previously considered beyond human management, with implications for fields ranging from materials science to national security. SDSC is playing a key role in expanding access to advanced computing and AI resources to California’s classrooms through a partnership with CENIC, centralizing expert operations while allowing colleges to own their hardware.

Researchers simulated a large number of tuberculosis drug combinations that may cure infections faster, using less medicine and reducing infection duration. The potential of AI to address real-world problems is also evident in efforts to protect endangered abalone populations; researchers are using supercomputers and AI to determine optimal spawning times and assess the viability of these fragile creatures.

Scientists are unlocking a safer way to store clean hydrogen energy by mapping exactly how much fuel atomic clusters can hold before filling up. These examples demonstrate the broad applicability of AI and high-performance computing across diverse scientific disciplines, driving innovation and addressing critical societal challenges.

Source: https://www.sdsc.edu/news/index.html

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