It is a program led by the U.S. Department of Energy (DOE) and its 17 National Laboratories, with the main objective of building an integrated AI platform that leverages:
The largest federal scientific datasets in the world (accumulated over decades of public investment).
High-performance supercomputers (exascale).
Advanced AI systems.
Emerging technologies such as quantum computing.
Unique government experimental facilities and data.
The ambitious goal is to double the productivity and impact of U.S. research and development within 10 years, accelerating advances in critical areas.
Main objectives
Create scientific foundation models trained with federal data.
Develop AI agents that automate scientific workflows, test hypotheses, design experiments, and analyze results autonomously.
Establish a closed-loop experimentation platform where AI can simulate, experiment, and iteratively improve.
Address priority national challenges in fields such as:
Biotechnology
Advanced manufacturing
Critical materials
Nuclear energy (fission and fusion)
Quantum computing
Semiconductors
Energy and national security
Key aspects of the project
It integrates through the American Science and Security Platform, a unified and secure system that connects computing resources, data, and laboratories.
Includes public-private collaborations: companies like NVIDIA (provider of massive GPUs), Oracle (cloud infrastructure), and universities.
In February 2026, the Genesis Mission Consortium was launched, a partnership that unites national laboratories, industry, and academia to advance AI models, validation, and more.
Highlighted projects include supercomputers like Solstice (with 100,000 NVIDIA GPUs) at Argonne National Laboratory, and other systems at Oak Ridge (Discovery and Lux).
Current status (February 2026)
The project is in the initial implementation phase: defining specific challenges, mapping existing resources, and demonstrations with current infrastructure. It does not seek to replace scientists but to greatly enhance them with AI tools that accelerate the discovery process from years to months. $RENDER $TAO $FET


