en.Wedoany.com Reported - U.S.-based Scale AI and the U.S. Department of Energy (DOE) have officially signed a Memorandum of Understanding (MOU), establishing a framework for cooperation to support the "Genesis Mission"—a national initiative leveraging advanced AI and computing power to unlock scientific discovery. Under the terms of the MOU, the two parties will conduct feasibility explorations in three major directions: AI-ready data infrastructure, evaluation systems, and advanced model applications. The outcomes may gradually translate into deeper substantive collaboration through future specific projects and pilot programs.
The "Genesis Mission" was launched by the White House through an executive order on November 24, 2025, and is spearheaded by the Department of Energy. Its goal is to double U.S. scientific and engineering productivity and impact within a decade. At the core of this initiative, the DOE will integrate supercomputers, scientific datasets, and experimental facilities from its 17 national laboratories to build a national AI research platform. However, the vast amounts of scientific data generated by the laboratories are currently stored in disparate systems, with inconsistent labeling and a lack of standardized formats, making it difficult for researchers and AI systems to directly utilize them for production applications. Scale AI's core role lies precisely in addressing this "data bottleneck." Its task is to transform the scattered, heterogeneous data from the national laboratories into trusted, high-quality, task-aligned, AI-ready corpora, providing a directly usable data foundation for model training and scientific hypothesis validation.
The cooperation memorandum initially targets three key areas. In the realm of AI-ready data infrastructure, Scale AI will explore establishing standardized data engineering pipelines to resolve the fundamental contradiction of "data existing but being unusable," particularly by structuring highly unstructured historical data from physics, materials, and energy system simulations. In the evaluation systems domain, Scale AI will introduce third-party model evaluation capabilities to conduct standardized testing of scientific models on the "Genesis" platform for safety, robustness, and task efficacy. The company was selected in 2025 by the U.S. AI Safety Institute as its first authorized third-party evaluator, and this proven experience can be replicated for this collaboration. In the area of advanced model applications, the two parties will jointly explore AI's potential in addressing major energy challenges such as accelerating nuclear energy permitting, optimizing grid interconnection, and discovering new materials, aligning with the 26 AI challenge goals previously released by the "Genesis Mission." These specific targets include halving nuclear power plant deployment time, reducing operational costs by over 50%, and increasing grid interconnection decision-making speed to 100 times the current rate.
Scale AI was founded in 2016 by Alexandr Wang and Lucy Guo and is headquartered in San Francisco, USA. The company specializes in providing high-quality labeled data, model evaluation, and AI platform solutions for the defense sector. Its clients include OpenAI, Google, Microsoft, Meta, the U.S. Department of Defense, and multiple automotive manufacturers. The company has established partnerships with various government agencies globally, playing a core supplier role in public sector AI infrastructure worldwide. Previously, the company had submitted multiple formal proposals to the White House Office of Science and Technology Policy and the Department of Energy regarding data infrastructure development and the "Genesis Mission."
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