Year: 2025
Type: article
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.
Source: Science
Authors: Darío Gil, Kathryn A. Moler
Institutions: United States Department of Energy, Stanford University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4416633569