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Artificial Neural Network and Spiking Neural Network Algorithm Development

Active

SBIR / STTR

Response Deadline09/09/2026, 04:00:00 PM UTC

Contract Overview

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

AI Contract Overview

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This subcontract opportunity with the U.S. Air Force focuses on the development and training of brain-inspired AI models, with a specific emphasis on Spiking Neural Networks. The goal is to create algorithms optimized for neuromorphic hardware and low-SWAP environments to enhance computational efficiency. The project is designated as a Total Small Business Set-Aside under the SBIR/STTR mandate, requiring the contractor to have fewer than 500 employees. Interested parties must submit their responses by September 9, 2026, following the posting date of August 26, 2026.

General Info

US Air Force small business subcontract for brain-inspired AI and neuromorphic hardware development.

Agency

U.S. Department of Defense → U.S. Air ForceView Agency

NAICS

541713 - Research and Development in NanotechnologyView NAICS

Place of Performance

Not specified

Set-Aside

SBA

Documents

This scope was carved out of DAF26BZ05-NV027.

The full solicitation package (1 document), including the RFP, is on the prime solicitation, not on this scope.

View the prime solicitation

Integrating Neural Architectures for Brain-Inspired AI with Low SWAP

AI Contract Breakdown

Uniform Contract Format

No contract breakdown available.

Cannot generate Contract Breakdown because no documents were found from this contract's source.

Timeline

PostedAug 26

subcontract

Response DeadlineSep 9

Submission deadline

Response Deadline

09/09/2026, 04:00:00 PM UTCin 11 days

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Organization & Contact Information

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AgencyU.S. Department of Defense → U.S. Air Force

ContactsNo contacts available

OfficeN/A

Organization / Agency

U.S. Department of Defense → U.S. Air Force

View Agency Profile

Office AddressN/A

ContactsNo contact information available

Full Description

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Develop and train brain-inspired AI models, particularly Spiking Neural Networks (SNNs), optimized for neuromorphic hardware and low-SWAP environments.

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