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NSF 26-510 | Artificial Intelligence

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nsf-seedfund-AI_SBIRSBIR / STTR

Contract Overview

Solicitation details, issuing organization, response deadlines, documents, and interested companies for this government contract opportunity.

AI Contract Overview

The National Science Foundation is soliciting proposals under the NSF 26-510 Artificial Intelligence program, specifically targeting high-risk technical innovations with significant commercial and societal potential. This solicitation focuses on deep learning-based AI systems and specialized AI hardware, emphasizing the development of technologies that are safe, reliable, fair, and privacy-preserving. Key areas of interest include computational efficiency, robustness against adversaries, and the creation of sustainable hardware architectures and edge devices, such as intelligent systems on a chip. This opportunity is a Total Small Business Set-Aside under the SBIR/STTR mandate, restricting eligibility to organizations with fewer than 500 employees. While the program highlights specific subtopics like natural language processing and computer vision, it welcomes all proposals that drive cutting-edge AI innovation regardless of the specific subtopic. Interested parties can find further details through the official Seed Fund website.

General Info

NSF seeks small business proposals for high-risk, safe, and efficient AI technical innovations.

Agency

National Science FoundationView Agency

NAICS

541715 - Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)View NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

(0)

No documents available

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Timeline

PhaseSolicitation

PostedMay 22

Solicitation

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Organization & Contact Information

AgencyNational Science Foundation

ContactsNo contacts available

OfficeUSA

Organization / Agency

National Science Foundation

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Office AddressUSA

ContactsNo contact information available

Full Description

The Artificial Intelligence topic focuses on cutting-edge technologies in the field of deep learning-based AI systems and AI-based hardware. The recent successes in computer vision, machine translation, natural-language processing and speech recognition have led to widespread use of learning-based systems in production and an unprecedented growth in AI systems that interact frequently with and/or on behalf of humans in highly personalized contexts. This topic especially emphasizes next-generation AI technologies that are not only safe and reliable but also fair, robust against sophisticated adversaries, privacy preserving, and efficient in terms of computational resources, energy, training data size, etc. It also includes cutting-edge hardware technologies needed for sustainable AI (i.e., novel devices and architectures to support the tremendous processing power needed by AI technologies), edge devices (i.e., intelligent systems on a chip for applications such as voice assistants) and AI technologies that lead to better hardware systems. These subtopics are only meant to serve as examples. All proposals that are focused on developing a new high-risk technical innovation and that have significant potential commercial and societal impact are welcome to apply, regardless of subtopic.