SBIR / STTR #DPA26BZ04-DV016

DARPA SBIR: Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON) Software R&D

This opportunity is a Direct to Phase II Small Business Innovation Research (SBIR) solicitation from the Defense Advanced Research Projects Agency (DARPA) under the Department of War (DoW). - Government Buyer: - Defense Advanced Research Projects Agency (DARPA), Small Business Programs Office, Department of War (DoW) - Solicitation Focus: - Research and development services for the 'Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON)' project - Seeks innovative software solutions that combine advanced machine learning (ML) methods with large language models (LLMs) for interactive statistical analysis of large-scale structured and unstructured data - OEMs and Vendors: - No specific OEMs or commercial vendors are named, as the procurement is for R&D services and software development - Products/Services Requested: - Development of FALCON software (part number: DPA26BZ04-DV016) - No hardware or COTS product line items are specified for this topic - Unique/Notable Requirements: - Direct to Phase II (DP2) SBIR: eligible small businesses may apply without prior Phase I awards if feasibility is demonstrated - Emphasis on combining abstract learning with context-optimized neural methods for advanced data analysis - Proposals must adhere to SBIR and DARPA-specific guidelines and be submitted electronically - Award Details: - Technical award valued at $1,000,000 for a 12-month base period - Optional 6-month extension valued at $500,000 - No specific product delivery; focus is on software R&D and demonstration

Description

This solicitation is for the DARPA SBIR program, focusing on the development of neural methods that combine abstract learning with context optimization, under the project titled "Fusion of Abstract Learning and Context-Optimized Neural-methods (FALCON)." The topic is currently in pre-release status. The solicitation is part of the SBIR program managed by DARPA. The deadline for responses is April 20, 2024.

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