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The National Science Foundation is broadening its X-Labs initiative to include "AI for Physical Systems," signaling a strategic shift toward integrating artificial intelligence with real-world engineering challenges. This move completes the 2026 funding portfolio alongside emerging topics like "From Sequence to Function" and "Computation at the Limit of Physics," which address fundamental limits in computation. The expansion underscores a federal commitment to high-risk, interdisciplinary research that bridges AI capabilities with physical system constraints to accelerate scientific discovery.

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NSF Expands X-Labs Initiative with 3 Additional Topics

HPCwireSeptember 17, 20264 min read

NSF X-Labs invites proposals from teams working in AI for physical systems and announces two forthcoming topics Sept. 17, 2026 — The U.S. National Science Foundation has announced three additional topics for NSF X-Labs as part of the $1.5 billion investment the agency initiated in May, completing the portfolio of topics for calendar year 2026. NSF’s […] The post NSF Expands X-Labs Initiative with 3 Additional Topics appeared first on HPCwire.

Sept. 17, 2026 — The U.S. National Science Foundation has announced three additional topics for NSF X-Labs as part of the $1.5 billion investment the agency initiated in May, completing the portfolio of topics for calendar year 2026. NSF’s substantial, long-term investment in NSF X-Labs over the next decade aims to tackle pressing scientific and technological challenges through novel and innovative research partnerships. The latest NSF X-Labs funding opportunity invites proposals in the technical domain of Artificial Intelligence for Physical Systems.…

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