In 2025, the U.S. 'Genesis Mission' initiative directs the Department of Energy, the White House Office of Science and Technology Policy, and national laboratories to collaborate with private companies to share federal datasets, advanced supercomputing capabilities, and scientific facilities to accelerate AI-enabled scientific research.
November 19, 2025
high
policy
Describes the intended structure and goals of the Genesis Mission program as a federal initiative to apply AI to scientific discovery.
As of 2025, large-scale private-sector AI deployments have primarily focused on language models, business applications, process automation, and consumer services, while government AI initiatives seek to apply AI capabilities to scientific discovery and engineering advancements.
November 19, 2025
high
trend
Contrasts prevailing private-sector AI application areas with government-directed priorities to adapt those capabilities for scientific and engineering use.
Large data centers used to train and run artificial intelligence models increase electricity demand and can contribute to higher consumer energy costs.
October 28, 2025
high
temporal
Power consumption by computing infrastructure for AI model training and inference affects grid demand and household energy bills.
Artificial intelligence methods can automate experiments, automate design, accelerate simulations, and generate predictive models for scientific problems such as protein folding and fusion plasma dynamics.
October 28, 2025
high
temporal
AI capabilities applicable to research workflows include experiment automation, accelerated simulation, and predictive modeling across multiple scientific domains.
Organizing research as a portfolio of scientific and engineering challenges and providing shared AI-enabled computing platforms for scientists and engineers can accelerate progress in domains such as energy, national security, and drug discovery.
October 28, 2025
high
temporal
Coordinated challenge-driven research programs and shared computational infrastructure are established approaches to focus R&D and speed discovery.