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U.S. Department of Energy
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u-s-department-of-energy-d1b1f3eb·9 events·first seen Aliases: U.S. Department of Energy, US Department of Energy
Co-occurring entities
AnthropicOpenAIGenesis MissionNational Nuclear Security AdministrationLawrence Livermore National LaboratoryClaudeSegment Anything Model 2Oak Ridge National LaboratoryNERSCSYNAPS-IDINOv3Argonne National LaboratoryBrookhaven National LaboratoryAdvanced Light SourceMetaLawrence Berkeley National LaboratoryClaude 3.7 SonnetThiyagu RamasamyGreg HerwegClaude for Enterprise
More like this (12)
U.S. Department of DefenseDOE National LaboratoriesU.S. GovernmentU.S. Department of Energy National Nuclear Security AdministrationDepartment of WarUnited States Department of DefenseU.S. Geological SurveyUnited StatesU.S. Federal Executive BranchU.S. General Services AdministrationSur EnergyU.S. National Laboratories
Recent events (9)
OpenAI partners with U.S. Department of Energy and national labs to accelerate scientific discovery
OpenAI announced a commitment to advancing American science through partnerships with the U.S. Department of Energy and national laboratories, applying frontier AI to accelerate scientific discovery. The announcement positions OpenAI as a strategic partner to federal research infrastructure. This represents a significant government-industry AI collaboration with implications for both national science policy and OpenAI's enterprise/government positioning.
Meta's SAM 3 and DINOv3 power real-time scientific image segmentation at DOE national labs
Lawrence Berkeley National Laboratory's SYNAPS-I project, part of the White House Genesis Mission initiative, has deployed Meta's Segment Anything Model 3 (SAM 3) and DINOv3 on 300 A100 GPUs at national supercomputing facilities to automate segmentation of X-ray and neutron science imagery. The pipeline reduces expert annotation time from weeks or months to approximately 15 minutes per dataset, enabling real-time analysis during live experiments. A demonstration on grapevine drought resilience using micro-CT scans showed that month-long per-timestep annotation workflows now complete in 15 minutes. Meta's open-source release of both models was critical, as national labs require on-premises deployment on secure government infrastructure.
Anthropic partners with U.S. National Labs for 1,000 Scientist AI Jam evaluating Claude on scientific tasks
Anthropic is participating in the U.S. Department of Energy's first 1,000 Scientist AI Jam, bringing together scientists across multiple National Laboratories to evaluate frontier AI models on scientific research and national security applications. Claude 3.7 Sonnet, recently launched as the first hybrid reasoning model, will be a primary subject of evaluation across tasks including hypothesis generation, experiment planning, code generation, and result analysis. This builds on Anthropic's April 2024 collaboration with the National Nuclear Security Administration, which was the first instance of a frontier lab evaluating a model in a Top Secret classified environment. The partnership signals deepening government-industry collaboration on AI for scientific discovery and national security.
Lawrence Livermore National Laboratory expands Claude for Enterprise to ~10,000 scientists
Lawrence Livermore National Laboratory (LLNL) is expanding its Claude for Enterprise deployment lab-wide, giving approximately 10,000 scientists, researchers, and staff access to Claude across nuclear deterrence, energy, materials science, and biosecurity research. The deployment is described as one of the largest Claude for Enterprise rollouts within the U.S. Department of Energy national laboratory system. Key capabilities include large-context document and codebase processing, SSO, audit logging, and role-based access controls tailored for government environments. Anthropic frames this as a blueprint for AI adoption across other DOE national labs.
Anthropic and NNSA Co-Develop Nuclear Safeguards Classifier for Claude Traffic
Anthropic, in partnership with the U.S. Department of Energy's National Nuclear Security Administration (NNSA) and DOE national laboratories, has co-developed an AI classifier that distinguishes between concerning and benign nuclear-related conversations with 96% accuracy in preliminary testing. The classifier has already been deployed on live Claude traffic as part of Anthropic's misuse-detection infrastructure. Anthropic plans to share the approach with the Frontier Model Forum as a replicable blueprint for other AI developers. This represents the first public-private partnership of this kind for nuclear proliferation risk monitoring in frontier AI systems.
Anthropic Partners with US Department of Energy on Genesis Mission for AI-Driven Scientific Discovery
Anthropic and the US Department of Energy have announced a multi-year partnership under the DOE's Genesis Mission initiative, targeting AI deployment across energy, biological sciences, and scientific productivity domains. The partnership will provide DOE researchers access to Claude and Anthropic engineers who will build purpose-built agents, Model Context Protocol servers, and specialized Claude Skills for scientific workflows. The collaboration has potential reach across all 17 US national laboratories and builds on prior work including a nuclear risk classifier with the National Nuclear Security Administration and Claude deployment at Lawrence Livermore. This represents a significant expansion of Anthropic's US government footprint.
OpenAI's Response to the Department of Energy on AI Infrastructure
OpenAI submitted a formal response to the US Department of Energy addressing AI infrastructure policy, arguing that infrastructure development is central to US AI leadership. The submission frames energy and compute infrastructure as determinative of long-term AI outcomes. This represents OpenAI's direct engagement with federal energy policy as it relates to AI data center and power demands.
OpenAI and U.S. Department of Energy Sign MOU for AI and Advanced Computing Collaboration
OpenAI and the U.S. Department of Energy have signed a memorandum of understanding to deepen collaboration on AI and advanced computing for scientific discovery. The agreement builds on existing work with DOE national laboratories and establishes a framework for applying AI across the DOE research ecosystem. This represents a formal government-industry partnership aimed at accelerating high-impact scientific research.
Google DeepMind supports U.S. Department of Energy on Genesis AI science initiative
Google DeepMind has announced a partnership with the U.S. Department of Energy on a program called Genesis, aimed at accelerating scientific discovery and innovation using AI. The initiative represents a formal government-industry collaboration at the national level. Details on specific technical approaches or model deployments are not provided in the announcement.