Department of Energy announces $320 million investment in artificial intelligence for science

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Chris Wright, Secretary, U.S. Department of Energy | U.S. Department of Energy

Department of Energy announces $320 million investment in artificial intelligence for science

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The U.S. Department of Energy (DOE) has announced more than $320 million in funding to boost artificial intelligence (AI) capabilities as part of the Genesis Mission. This investment is intended to accelerate AI for science initiatives and aligns with President Trump’s Working Families Tax Cut and DOE appropriations.

According to DOE Under Secretary for Science Darío Gil, “Thanks to President Trump's Working Families Tax Cut, the Department of Energy is proud to advance AI investments to ensure American technological leadership and accelerate scientific discovery. By investing in the American Science Cloud and the Transformational AI Model Consortium we are creating the foundational technologies and AI-ready data sets that will enable the success of the Genesis Mission.”

The new funding will support four main initiatives:

- The American Science Cloud (AmSC), which will serve as a platform infrastructure for hosting and distributing AI models and scientific data. AmSC aims to allow national laboratories, industry, and research partners access to curated, AI-ready scientific data from DOE.

- The Transformational AI Models Consortium (ModCon), which focuses on building self-improving AI models using DOE’s resources. These models are expected to support advancements across various science, engineering, and energy fields.

- Fourteen projects in robotics and automation will target improvements in laboratory environments by integrating intelligent systems such as embodied AI, advanced automation, and robotics.

- Thirty-seven foundational AI awards will fund efforts to curate large datasets and develop robust, validated AI models for scientific applications. These projects aim to enhance how researchers analyze massive datasets from experiments or simulations, enabling new discoveries or even autonomous laboratories.

A full list of funded projects is available on the DOE website.

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