NSF 26-510 | Advanced Systems for Scalable Analytics — Data Mining, Machine Learning (Non-deep learning-based), and Reinforcement Learning

The National Science Foundation is seeking proposals under solicitation nsf-seedfund-AA-AA2_SBIR for the Advanced Systems for Scalable Analytics initiative, specifically focusing on data mining, reinforcement learning, and non-deep learning-based machine learning. This effort aims to develop high-risk technical innovations capable of organizing and processing vast volumes of structured, semi-structured, and unstructured data to generate actionable insights. Key areas of interest include data governance, provenance, continual learning in dynamic environments, and the development of hardware and software to meet the performance demands of analytical systems. This opportunity is a total small business set-aside restricted to firms with fewer than 500 employees. The program encourages the development of technologies that complement deep learning and provide significant commercial and societal impact. While specific subtopics like data acquisition, integration, and model marketplaces are highlighted as examples, all proposals that demonstrate a high-risk technical innovation in scalable analytics are eligible for consideration.