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NSF 26-510 | Artificial Intelligence — Sustainable AI Technologies for Low Resource Environments

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nsf-seedfund-AI-AI6_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 solicitation nsf-seedfund-AI-AI6_SBIR for the development of cutting-edge artificial intelligence technologies, with a specific focus on sustainable AI for low resource environments. This initiative targets high-risk technical innovations in deep learning-based systems and AI hardware that prioritize safety, reliability, fairness, and privacy. Key objectives include improving computational efficiency, reducing energy consumption, and optimizing training data size to create robust systems capable of resisting sophisticated adversaries. The scope extends to hardware advancements, including novel architectures for sustainable processing and intelligent systems on a chip for edge devices. This opportunity is a total small business set-aside, restricted to organizations with fewer than 500 employees. All proposals that demonstrate significant potential for commercial and societal impact are encouraged to apply, regardless of the specific subtopic.

General Info

NSF seeks small business proposals for sustainable, efficient, and secure AI technology development.

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.
## Subtopic: Sustainable AI Technologies for Low Resource Environments