While most of the Lab’s research funding comes from federal resources, philanthropy has long played a role in funding priority projects at the Lab. Two entities at the Lab help facilitate this process, the Office of the Chief Development Officer (OCDO) and the Berkeley Lab Foundation (BLF). The OCDO works collaboratively with Berkeley Lab staff […]
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Accelerating Quantum Computing through Collaborations with Industry
Quantum computing is a large-scale challenge that requires the contributions of all sectors — government agencies, research institutions, and the private sector. At Berkeley Lab, quantum computing researchers are collaborating with partners around the world to advance the field. For example, the Quantum Systems Accelerator (QSA) is a DOE National Quantum Information Science Research Center […]
Streamlined Process for International Shipping Requests – Effective March 1, 2025
To improve efficiency in handling international shipping requests for non-biological items, the Export Compliance Office is transitioning to a new submission process using Jira, a project management tool. Starting March 1, 2025, all international shipping requests for non-biological items must be submitted through the Export Control website using this link: https://exportcontrol.lbl.gov/forms/ (select “Non-Biological International Shipping […]
LDRD Program Announces FY25 Projects
Our Laboratory Directed Research and Development (LDRD) program serves as a proving ground for innovative concepts, providing seed funding for selected high-risk, high-reward research ideas. It attracts promising young scientists and engineers and encourages them to pursue new approaches to problems. For the FY25 cycle, the LDRD Call for Proposals cycle received a total response of 157 submissions. […]
Addressing Data Center Energy Efficiency Challenges Posed by the Growth of AI
Artificial intelligence is potentially a game changer for science and industry, promising efficiencies that can accelerate research, improve productivity, and enable major advances. It is also an energy hog. According to the July 2024 Department of Energy (DOE) report Recommendations on Powering Artificial Intelligence and Data Center Infrastructure, “Data center power demands are growing rapidly…A […]
“Ensuring U.S. Leadership in a Competitive Future”: A Report from the National Laboratory Directors Council
In a hyper-competitive world where the pace of scientific and technological progress is at an all-time high, what is the role of the national labs in ensuring the continued leadership and security of the United States? A recent report authored by the National Laboratory Directors Council, titled “Ensuring U.S. Leadership in a Competitive Future” (also […]
From Innovation to Manufacturing: California’s Battery Ecosystem Conference
Batteries are critical to global competitiveness and domestic energy security. With their growing applications in the defense sector, they are also important to our national security. Yet today the U.S. represents only seven percent of the world’s battery production capacity, making it overly reliant on foreign supply chains and manufacturing. Thus battery manufacturing is a […]
Webinars and a Workshop for a Winning AI Strategy
“The speed and scale with which AI is developing requires investment in a strategic capability now…Through FASST, we will meet the mission needs of national security, energy security, and scientific discovery that will support sustained economic prosperity for the nation for decades to come.” – from the DOE website energy.gov In some ways, AI seems […]
AI at Your Fingertips: Berkeley Lab’s CBORG Initiative Empowers Scientists
One year ago, the IT Division’s ScienceIT Department, which supports scientists at the Lab with their data and computation needs, began discussions in earnest about what AI tools might be most valuable to researchers at the Lab, and how to make those tools available. In response to growing interest in the evolution of artificial intelligence […]
Lab Policies for the Use of Generative AI Tools
Commercial generative AI tools have become increasingly popular in a research context, leaving many unsure about how to use them appropriately. Should you list generative AI tools as authors in a paper? How should you disclose your use of them? Can you use figures generated by these tools? To help answer questions like these, the […]
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