Skip to content
IFAI

U.S. Department of Energy

Company4 stories

  1. ResearchReach 33

    OpenAI commits $17M to U.S. DOE science mission

    OpenAI just committed $17 million in resources to the U.S. Department of Energy’s Genesis Mission, aiming to double national research productivity within a decade. The pledge includes $4 million in Codex access for 2,000 scientists, targeted support for high-temperature superconductors, and deploying reasoning models on the Venado supercomputer. Why it matters: OpenAI is embedding frontier models directly into federal scientific infrastructure to compress decades of research into years.

  2. IndustryReach 44

    White House launches the Genesis Mission for AI science

    The White House just signed an executive order launching the Genesis Mission, an ambitious initiative likened to the Manhattan Project to unite federal scientific datasets and supercomputers. Run by the Department of Energy, the program will build a unified computing platform and deploy AI agents to automate scientific workflows across semiconductors, quantum computing, and nuclear energy.

  3. ResearchReach 44

    OpenAI kicks off a 1,000-scientist AI jam session

    OpenAI just teamed up with nine U.S. national labs to host a massive AI Jam Session, putting its frontier models into the hands of over 1,000 researchers across institutions like Oak Ridge and Berkeley. Scientists are stress-testing the models on complex domain-specific problems, with findings set to shape future research-focused AI systems in an upcoming report.

  4. IndustryReach 36

    Frontier supercomputer runs largest universe simulation yet

    The world’s second-fastest supercomputer, Frontier, just simulated the observable universe at an unprecedented scale using 9,000 AMD-powered nodes. By calculating dark matter and gas dynamics rather than simple gravity, the 1.4-exaFLOP system completed hydrodynamic modeling roughly 300 times faster than expected. Why it matters: Exascale computing is smashing scientific simulation ceilings, setting up massive compute gains for future AI and climate models.