Accelerating science with AI

Dario Gil; Kathryn A. Moler

doi:10.1126/science.aee0605

journal article Dec 04, 2025

Accelerating science with AI

Dario Gil Kathryn A. Moler

Science Vol. 390 No. 6777 pp. 965-965 · American Association for the Advancement of Science (AAAS)

View at Publisher Save 10.1126/science.aee0605

Abstract

By successfully integrating artificial intelligence (AI) into research workflows, researchers could substantially increase scientific productivity. Last week’s announcement from the White House of the US Genesis Mission sparks a critical conversation about how to realize this potential. That discussion should center on two parallel efforts—creating the integrated infrastructure, from data and algorithms to hardware and agentic control, needed to apply AI to speed up research; and determining the policies and resources that empower scientists to fuel the feedback loop of scientific advancement and AI innovation.

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Details

Published: Dec 04, 2025
Vol/Issue: 390(6777)
Pages: 965-965

Authors

D

Dario Gil

Darío Gil is the undersecretary for Science, US Department of Energy, Washington, DC, USA, and director of the Genesis Mission.

K

Kathryn A. Moler

Kathryn A. Moler is the Marvin Chodorow Professor and a professor in the Departments of Applied Physics, Physics, and Energy Science and Engineering, Stanford University, Stanford, CA, USA.

Cite This Article

Dario Gil, Kathryn A. Moler (2025). Accelerating science with AI. Science, 390(6777), 965-965. https://doi.org/10.1126/science.aee0605

Accelerating science with AI

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