Berkeley Lab Computing Sciences

#Confab25, Energy Sciences Network (ESnet)'s largest user meeting, will bring together domain scientists, network engineers, Department of Energy program managers, DOE user-facility staff, and ESnet staff to co-design the future of integrated science. 👉 Register now to collaborate and network with this cross-cutting, high-powered group: https://lnkd.in/gc6nMqrf  ⏰ Don’t miss out — registration closes March 19! 🎤 Our featured speakers include: ⭐ Inder Monga, ESnet Executive Director, in conversation with Benjamin Brown, Director, DOE Office of Science's Advanced Scientific Computing Research Facilities Division, followed by open Q&A ⭐ Katie Antypas, Director, National Science Foundation (NSF) Office of Advanced Cyberinfrastructure: “The NAIRR Pilot: Accelerating AI Innovation and Workforce Development” ⭐ Carol Burns, Deputy Director for Research and Chief Research Officer, Berkeley Lab, in conversation with John Sarrao, Director, SLAC National Accelerator Laboratory ⭐ William Collins, Associate Laboratory Director of the Berkeley Lab Earth and Environmental Sciences Area (EESA): “What's Past is Prologue: Studies of Extreme Weather using Machine Learning and Climate Emulators” ⭐ Jana Thayer, Division Director, Linac Coherent Light Source (LCLS), SLAC, on what Integrated Research Infrastructure (IRI) looks like in practice for LCLS  ⭐ Ian Foster, Director, Data Science and Learning Division, Argonne National Laboratory, on the emerging and evolving technologies that integrated science will demand ❓And perhaps YOU? We still have a few spots for Confab-focused, 5-minute Lightning Talks! https://lnkd.in/gG7KRsJh See the full program: https://lnkd.in/evU74ZBe #teamscience #highperformancenetworking

Today, Berkeley Lab hosted about 200 scientists as part of the first-ever 1,000 Scientist AI Jam, a pioneering event spanning multiple U.S. Department of Energy (DOE) National Laboratories. Participants explored how cutting-edge AI models from OpenAI and Anthropic could accelerate breakthroughs in scientific discovery and national security. Berkeley Lab joined eight other DOE Labs—including Argonne National Laboratory, Brookhaven National Laboratory, Idaho National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, and Princeton Plasma Physics Laboratory (PPPL)—to host 1,500 of the nation’s top scientists for this effort to explore AI’s ability to automate experiments, refine theories, assist with coding, and more. This collaboration between industry and DOE’s National Laboratories has the potential to unlock a new era of scientific discovery. And we’re just beginning! Learn more: https://lnkd.in/gANVG8NH cc: U.S. Department of Energy Office of Science #AI #Science #Research #HPC

Thank you, Khoury College of Computer Sciences, for visiting Berkeley Lab. It was a pleasure to host you and share the exciting work happening here. We hope you found the experience inspiring and informative. Wishing you all the best as you continue your studies and future endeavors! cc: National Energy Research Scientific Computing Center (NERSC) Energy Sciences Network (ESnet) #HPC Mills College at Northeastern University Career Connections and Experiential Learning #computerscience

🚨 Attention Graduate students, postdoctoral researchers, academics, domain scientists, and engineers! 🚨 We are now accepting applications for the 2025 Deep Learning for Science (DL4SCI) Summer School, a five-day immersive program that will bring together researchers and engineers to explore the latest advances in deep learning and generative AI. You'll gain hands-on experience with cutting-edge deep learning techniques, network with experts in the field, and take your research to the next level. The event, hosted by Berkeley Lab’s Computing Sciences Area, will be held in Berkeley from June 23 to 27. It will feature in-depth lectures, research talks, and hands-on tutorials on state-of-the-art techniques, including transformers, large language models, diffusion models, flow matching, and generative adversarial networks, as well as practical sessions on best practices for running deep learning at scale on high-performance computing systems. Learn more: https://lnkd.in/gxRbD-V8 _______________________________________________________ cc: U.S. Department of Energy (DOE) U.S. Department of Energy Office of Science N. Benjamin Erichson Wahid Bhimji Shashank Subramanian Mohammed Abdelwahhab #DeepLearning #AI #MachineLearning #SummerSchool #Science #Research University of California, Berkeley National Energy Research Scientific Computing Center (NERSC)

Did you know that 2025 is the International Year of Quantum Science & Technology? Quantum research is transforming the future, and collaboration is key to unlocking quantum systems’ full potential. Check out this video to see how Berkeley Lab researchers are driving innovation in quantum computing, information sciences, materials, networking, and more. __________________________________ U.S. Department of Energy (DOE) U.S. Department of Energy Office of Science Energy Sciences Network (ESnet) University of California, Berkeley University of California #IYQ2025 #Quantum #QuantumScience #QuantumComputing #QuantumFuture #QuantumInnovation

Calling all #quantuminformationscience and #quantum technology researchers: The submission deadline for Optica's Quantum 2.0 Conference and Exhibition has been extended to Feb. 11! Quantum 2.0 will take place June 1-5 in San Francisco. Erhan Saglamyurek will be presenting an update on the quantum networking efforts of QUANT-NET, the U.S. Department of Energy (DOE)-funded project administered through Berkeley Lab Computing Sciences's Scientific Networking Division, for which some ESnet staff have dual appointments. "Quantum 2.0" refers to the development and use of quantum superposition and entanglement in large engineered systems. Examples of such large quantum systems include quantum computers and simulators, quantum communication networks and arrays of quantum sensors. New technologies will go far beyond the (quantum 1.0) capabilities offered by single systems. Details here: https://lnkd.in/g83bVgMC

Congratulations Damian Rouson! Last month, Berkeley Lab IPO honored him as 2024 Developer of the Year for leading the development of new software tools for testing and correctness checking and a library that supports Fortran/C/C++ language interoperability. Read more: https://bit.ly/IPO_dr __________________________________________________ cc: U.S. Department of Energy Office of Science #Fortran #ComputerScience #ProgrammingLanguages #science #research #engineer #developer

⚡ You may know Energy Sciences Network (ESnet) best as a high-speed fiber-optic network connecting U.S. Department of Energy (DOE) researchers all over the U.S. and Europe. But in the last couple of years, Andrew Wiedlea and a small ESnet team have been working with Stijn Wielandt of Berkeley Lab Earth and Environmental Sciences Area (EESA) on some innovative 🛜 wireless 🛜 approaches to help field scientists working in remote areas easily connect to their sensors and transmit their important data quickly and reliably. Recently, the Greenfield Wireless team successfully field-tested an affordable, flexible, portable private-cellular system at Berkeley Lab, then hit the road to a soil-emissions-testing site in California’s Sacramento Delta and two geothermal sites in Utah and Nevada. Read the story: https://lnkd.in/gNJf4iHT #teamscience #privatecellular #fieldresearch

Exciting news! Through the new IBM Quantum Innovation Center, approved National Energy Research Scientific Computing Center (NERSC) users can now access IBM's state-of-the-art quantum computers with expert guidance from NERSC and IBM teams. This is a unique opportunity to explore next-gen quantum technology and accelerate discovery. Curious about how this program could advance your research? Learn more and apply today! ________________________________________ cc: Berkeley Lab #Quantum #QuantumScience #Science #Research #QuantumComputing #QuantumComputer #QuantumMaterials

Congratulations to Stefan Wild, Director of Berkeley Lab’s AMCR Division, for receiving the prestigious Presidential Early Career Award for Scientists and Engineers (PECASE)—the U.S. government’s highest honor for early-career scientists and engineers! 🏆 Wild was honored for his work developing model-based algorithms and software to address complex numerical optimization problems and advance automated learning. His contributions span a variety of scientific and engineering fields, leveraging advanced computer simulations, intricate datasets, and physical experiments to tackle some of the most challenging problems in automated design and discovery. Learn more: https://bit.ly/PECASElbl ____________________________________ cc: U.S. Department of Energy (DOE) U.S. Department of Energy Office of Science The White House #Science #Research #Mathematics #Algorithms #ComputationalScience #AI #MachineLearning #AutomatedExperiments