US Department of Energy enlists 24 tech giants for Genesis Mission to accelerate AI research

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The US Department of Energy has signed agreements with 24 major tech companies including OpenAI, Google DeepMind, Nvidia, Microsoft, and Anthropic for the Genesis Mission. This national AI initiative aims to create an integrated platform that combines federal scientific data, national laboratory supercomputers, and private cloud capacity to accelerate scientific discovery across energy, security, and research domains.

US Department of Energy Launches Ambitious Genesis Mission With Big Tech Collaboration

The US Department of Energy announced agreements with 24 organizations this week to advance the Genesis Mission, a national AI initiative designed to accelerate scientific research and strengthen America's energy and security capabilities

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. The partnerships bring together major players in artificial intelligence (AI), cloud computing, and chip manufacturing to build what the Trump administration envisions as a unified scientific discovery platform. Companies signing Memorandums of Understanding (MOUs) include OpenAI, Anthropic, Google DeepMind, xAI, Microsoft, AWS, Oracle, Nvidia, Intel, AMD, and Palantir, among others

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Source: The Register

Source: The Register

Dario Gil, DOE's undersecretary for science and director of the Genesis Mission, emphasized the goal of creating an ecosystem for AI for scientific research that spans the department's 17 national laboratories, tech industry, and academia. "We are committed to expanding this ecosystem and truly making it into a collaborative endeavor from all the institutions that make scientific and technological progress in America," Gil stated

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. DOE officials expect the initiative to double the productivity and impact of American science and engineering while delivering breakthroughs in energy dominance, scientific discovery, and national security

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Big Tech Collaboration Brings Frontier AI Models and Cloud Infrastructure

The partnerships represent a significant commitment of resources and expertise from the tech sector. Google DeepMind announced it would provide frontier AI models and tools to scientists at all 17 national laboratories, with early access to AlphaEvolve—a Gemini-powered coding agent for material science and drug discovery—AlphaGenome for genetic research, and WeatherNext weather forecasting models starting early next year

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. OpenAI is already deploying frontier AI models on supercomputers to assist researchers, with the MOU creating a clear framework for ongoing collaboration with DOE labs

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Source: ET

Source: ET

Nvidia will provide accelerated computing platforms and AI models for scientific simulations, building on its memorandum of understanding that outlines priorities including AI for manufacturing and supply chain, robotics, AI-enabled digital twins, fusion energy, quantum computing, and fission energy

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. Microsoft and Oracle will contribute cloud infrastructure to support large-scale research, with Oracle assisting in building high-performance computing systems

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. Anthropic committed to supplying its Claude models along with a dedicated engineering team to develop AI agents and specialized Claude "skills" for national labs.

AI Infrastructure and R&D Focus Areas Span Multiple Scientific Domains

The Genesis Mission builds on $320 million in funding announced earlier this month for four initiatives, including the American Science Cloud as the infrastructure platform and the Transformational AI Models Consortium for model development

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. CoreWeave, a neocloud firm specializing in GPU rentals, will make its AI cloud infrastructure available for scientific workloads, with CEO Michael Intrator calling Genesis "a vital national commitment to accelerating scientific discovery and reaffirming America's leadership in research and innovation"

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. Startups Cerebras and Groq will supply advanced AI chips optimized for scientific workloads

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Source: CNET

Source: CNET

The partnerships focus on applications ranging from nuclear energy and quantum computing to robotics and supply chain optimization

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. Additional collaboration opportunities include breakthroughs in materials science, biology, synthetic design, subsurface and geothermal resources, and environmental cleanup, as well as developing open science-optimized AI models and AI "co-scientists" that accelerate algorithm development

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. Gil emphasized that AI models enable scientists to better understand complex systems, generate hypotheses, and conduct preliminary experiments, calling these tools "the new telescopes of our time"

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National AI Initiative Aims to Reduce Foreign Technology Dependence

Michael Kratsios, assistant to the president and director of the White House Office of Science and Technology Policy, stated that these partnerships are "only the beginning" and that the Genesis Mission aims to include companies, universities, non-profits, and federal agencies. "Harnessing cutting-edge AI for science will dramatically increase the productivity of American scientists and researchers," Kratsios said, noting the initiative will help automate experiment design, accelerate simulations, and generate predictive models for breakthroughs in energy, manufacturing, and drug discovery

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. The program is designed to boost scientific productivity and reduce reliance on foreign technology

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The Genesis Mission follows President Trump's November executive order directing the DOE to build a unified AI platform that integrates federal scientific data, national laboratory supercomputers, and private cloud capacity

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. The initiative comes amid a year when the Trump administration cut or limited government funding for certain scientific research areas, particularly climate change studies that don't align with administration priorities

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. More announcements involving universities, nonprofits, and research organizations are expected as the Genesis Mission expands its ecosystem of partners committed to maintaining U.S. leadership in AI and scientific innovation

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