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AI for Resilient Manufacturing Institute Competition

Graphic depicting artificial intelligence and technology. Text reads: "Artificial Intelligence for Resilient Manufacturing Institute Competition"
Credit: Adobe Stock, C. Blasioli \ NIST

Manufacturing USA Institute Competition 

Artificial Intelligence for Resilient Manufacturing

On July 22, 2024, the National Institute of Standards and Technology (NIST) issued a Notice of Funding Opportunity (NOFO) for a new Manufacturing USA Institute, with a focus on using artificial intelligence (AI) to improve the resilience1 of U.S. manufacturing. NIST anticipates funding up to $70 million over five years to establish and operate this Manufacturing USA institute. NIST intends that the new institute will both contribute to and benefit from the expertise within the existing network of Manufacturing USA institutes. As required by the Manufacturing USA authorizing statute, NIST will ensure that the AI institute to be established will not substantially duplicate the work of the existing network of institutes2.

To stay up-to-date on NIST-funded Manufacturing USA institute competition information, please subscribe to our mailing list.

NIST is making available a teaming partner list that enables entities to share information, foster collaboration, and advance shared goals. This list allows entities to share their contact information and capabilities so that potential applicants can reach out and consider utilizing their expertise to advance AI for resilient manufacturing

AI for Resilient Manufacturing Institute Teaming Partner List

Application Process

There are two main components to this application:

Mandatory Concept Paper: All applicants must submit a concept paper, due on September 30, 2024, 11:59 p.m. Eastern Time

  • Concept papers must be submitted through Grants.gov
  • Please note that an active SAM.gov registration and unique entity identifier (UEI) are required to submit application materials through Grants.gov. This process can take up to three weeks, so applicants are encouraged to complete this step early.

Full proposal application: After the concept paper review, only invited applicants will be invited to submit a full proposal. Full applications will be due on or around January 23, 2025, at 11:59 p.m. Eastern Time.

Upcoming Events

Webinar: AI for Resilient Manufacturing Institute Notice of Funding Opportunity

Thursday, July 25, 2024

2:00-3:00 p.m. ET

Click here to register. 

Proposer's Day: AI for Resilient Manufacturing Institute Notice of Funding Opportunity 

Tuesday, August 20, 2024 (tentative)

8:30 a.m. to 5:00 p.m. ET

The location for Proposer Day is being finalized and will be held in Maryland/DC area (more info coming soon) 

We anticipate this will be a hybrid event composed of informational plenary sessions and networking opportunities. In-person participation will be highly encouraged. 

Need to contact us?

Do you have questions not addressed in our Frequently Asked Questions (FAQ) page? Email your question(s) to ManufacturingUSA [at] nist.gov (ManufacturingUSA[at]nist[dot]gov) with the subject line, ‘AI for Resilient Manufacturing.’

Additional Resources

Other References and Reports

News Release

Reports

Manufacturing USA Model

AI for Resilient Manufacturing Institute Teaming Partner List

Towards Resilient Manufacturing Ecosystems through AI Report


1Resilient Manufacturing: Resilience may be defined as the ability of a given system to prepare for and adapt to unexpected events; to quickly adjust to sudden disruptive changes that negatively affect performance; to continue functioning during a disruption (sometimes referred to as “robustness”); and to recover quickly to its pre-disruption state or a more desirable state. The adoption of AI has the potential to strengthen the resilience of U.S. manufacturing through improvements in productivity and efficiency, worker safety, and quality control systems while reducing downtime for predictive maintenance, waste, and defects. AI adoption has the potential for efficient utilization of other digital technologies in optimizing product design and process flow, and energy management. Furthermore, the adoption of AI technologies can drive greater resilience for manufacturing supply chain networks and increase the visibility of domestic suppliers. Source: Brookings Institute

2Note that this NOI for an AI Manufacturing USA institute is separate from any planned solicitations for Manufacturing USA semiconductor institutes funded through the CHIPS Act and is separate from NIST’s U.S. AI Safety Institute (USAISI).  Interested parties should monitor https://www.nist.gov/chips/chips-rd-funding-opportunities for information regarding CHIPS-funded semiconductor institutes, and https://www.nist.gov/artificial-intelligence/artificial-intelligence-safety-institute for updates on the USAISI. 

Created March 4, 2024, Updated July 22, 2024