AI for Wildfires and a Changing Earth |
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Dear SDSC Collaborators, Partners and All Friends:
SDSC’s preparations for the annual, national Supercomputing Conference (SC24) are well underway, and we are looking forward to joining many of you in Atlanta next month. Our theme for this year’s conference – Innovating to Impact Science, Technology, Education and Society for a Better World – comes to life in many of the articles featured below.
We are proud of our work that enables groundbreaking scientific discoveries. For example, the announcement of University of Washington’s David Baker, who recently was awarded the Nobel Prize in Chemistry. Baker’s connection to SDSC dates back to 2006, when his computational code – Rosetta Code – was used to predict the 3D structure of a small protein solely based on its amino acid sequence. Baker and the SDSC team achieved the largest-ever protein structure prediction and completed the simulation in less than three hours, a huge feat at the time.
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SDSC researchers have announced the launch of the new initiative to advance science and technology that addresses wildland fire challenges in an era of more frequent and devastating megafires.
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The Oct. 23-24 event, hosted by SDSC, will bring together cross-sector researchers and practitioners to explore opportunities for innovative solutions that contribute to a more productive, sustainable and equitable food system.
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SDSC and CENIC have developed an AI education infrastructure called CENIC AIR for K-12 education, public libraries, community colleges, the California State University and the University of California systems.
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To increase understanding of the changing Earth, the U.S. National Science Foundation has renewed funding for OpenTopography, a science gateway that advances knowledge about the Earth’s surface.
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In 2006, researchers at SDSC contributed massive compute power (for the times) and code optimization to a collaboration that included University of Washington’s Professor David Baker and IBM. The simulation used Baker’s Rosetta Code and ran on more than 40K CPUs of IBM’s Blue Gene Watson system at SDSC. The complex simulation was completed in under three hours—a groundbreaking outcome at the time. Congratulations to David for his distinguished achievement!
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SDSC’s Christine Kirkpatrick highlighted the importance of data policy and open science in times of crisis during her address at recent Ninth Multi-Stakeholder Forum on Science, Technology and Innovation (STI) for the Sustainable Development Goals (SDG) held at the United Nation’s headquarters. Read more about her international efforts to raise data awareness.
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UCSD Computer Science Student Akash Palla optimized a real-world earthquake wave propagation code to run more effectively on high performance resources including the world’s most powerful supercomputer.
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COMPLECS: HPC Hardware Overview
November 7, 11:00 AM to 12:30 PM (PT)
This event will be held remotely.
Curiosity Ignited: Research that Sparks Change
November 9, 11 AM to 12:30 PM (PT)
Register for this event, part of UC San Diego Homecoming 2024.
The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24)
November 17 – 22, Atlanta, GA
SGX3 Webinar: Faculty Hackathon Recap
November 21, 12:00 PM (PT)
Register here.
COMPLECS: Interactive Computing
December 5, 11:00 AM to 12:30 PM (PT)
This event will be held remotely.
COMPLECS: Data Storage and File Systems
December 12, 11:00 AM to 12:30 PM (PT)
This event will be held remotely.
CARTA: The Origins of Love
February 14, 2025, 10:00 AM to 2:30 PM (PT)
This event will be held remotely.
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See how researchers at UC San Diego, including HDSI's David Danks, are using AI to tackle complex medical problems.
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UC San Diego Launches Fusion Energy Institute
Led by the Jacobs School of Engineering, the institute is focused on ensuring that humanity’s recent advances in fusion science translate into safe, abundant and affordable clean energy for California, the nation and the world. (SDSC’s Frank Würthwein and Amit Majumdar are participants).
How AI Can Help Stop the Spread of Misinformation
Machine learning algorithms significantly outperform human judgment in detecting lying during high-stakes strategic interactions, according to new research from the University of California San Diego’s Rady School of Management.
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 cdillon@ucsd.edu.
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