Project Grant 2526499
- This $305,000 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation's (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a novel AI framework that integrates algorithmic logical reasoning with machine learning to enhance the analysis of unstructured enterprise data. The project seeks to transform knowledge work by improving how businesses analyze and act on unstructured information like documents, emails, and reports. The...
- This Cooperative Agreement awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $999,942 in funding to Learn Collaborate Inc., a minority-owned small business, to develop an AI-powered collaborative project-based learning (CPBL) software platform. The platform is designed to address the workforce skills gap by enabling project-based learning activities that seamlessly integrate real-world projects with academic...
- This Small Business Innovation Research (SBIR) Phase II award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $1,000,000 in funding to Ai Pow LLC, a minority-owned, small disadvantaged business located in College Station, TX. The project aims to develop a hardware-aware AutoML platform to enable efficient deployment of AI models on resource-constrained edge devices for real-time defect detection in...
- This $1,168,047 Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program aims to develop a deeper understanding of the complex problems and needs that drive technology innovation. The project involves: Collecting comprehensive datasets on technical problems, solutions, and organizations across three selected domains; 2) Applying AI/machine learning techniques to analyze this data and identify predictive...
- This Cooperative Agreement award, funded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, supports a project focused on advancing artificial intelligence (AI) systems to enable more sophisticated and transparent reasoning. The $1,419,331 award to Icosa Computing aims to develop a framework for integrating physics-based optimization techniques, such as Ising machines, into language model-based AI pipelines. This high-risk,...
- This Project Grant award of $112,441 from the National Science Foundation's (NSF) Integrative Activities program (CFDA 47.083) will support Ithaka Harbors Inc., a non-profit organization, in developing the understanding necessary to facilitate the establishment of regional hubs for collaboration on issues related to the implementation of artificial intelligence (AI) in research and research administration at emerging research institutions (ERIs). The project will convene administrators and...
- This $230,292 Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports research to enhance understanding of how innovative research and development (R&D) effectively translate into commercial products. The study will focus on place-based innovation (PBI) ecosystems, regions where stakeholders collaborate in close geographic proximity, to uncover critical factors that facilitate or hinder successful R&D...
- This $550,000 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of generative artificial intelligence (AI)-powered products that enable humans to interact and converse with books and other documents. The key products being developed include: Technology to represent the informational content of books and document discussions as a knowledge graph, which will then be used to ground large...
- This SBIR Phase I Project Grant awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program provides $304,200 to develop a novel adaptive learning platform. The platform leverages mixed-reality, competency-based learning to address workforce displacement due to artificial intelligence (AI) and automation. Key innovations include a skills engine using generative AI and robotic process automation (RPA) to identify and map...
- This EAGER award of $300,000.00 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program will fund a feasibility study for establishing the Translational Institute on Knowledge Axiomatization (TIKA). The project aims to explore methods for helping artificial intelligence (AI) systems better organize and apply knowledge, moving beyond current deep learning limitations. Key planned activities include: 1) Developing community-building workshops and...
I-CORPS: TRANSLATION POTENTIAL OF ARTIFICIAL INTELLIGENCE POWERED MATCHMAKING AND RESOURCE DISCOVERY FOR UNIVERSITY-DRIVEN INNOVATIONS -THIS I-CORPS PROJECT FOCUSES ON AN ONLINE PLATFORM THAT USES ADVANCED LARGE LANGUAGE MODEL REASONING AND NATURAL LANGUAGE PROCESSING TO MATCH UNIVERSITY DISCOVERIES WITH INVESTORS, INDUSTRY PARTNERS, AND COMMUNITY ORGANIZATIONS. THE PLATFORM COLLECTS AND STUDIES THE FULL NATIONAL PATENT RECORD, OPEN ACCESS RESEARCH PAPERS, AND VERIFIED INVENTORIES OF LABORATORY EQUIPMENT AND OTHER INSTITUTIONAL RESOURCES. BY REVEALING CONNECTIONS THAT ARE CURRENTLY HIDDEN IN SEPARATE DATA SILOS, THE TECHNOLOGY ADDRESSES THE COSTLY DELAYS THAT SLOW THE TRANSITION OF RESEARCH RESULTS INTO NEW PRODUCTS AND SERVICES. ACROSS THE COUNTRY THOUSANDS OF PROMISING INVENTIONS REMAIN IDLE EACH YEAR BECAUSE INVENTORS AND POTENTIAL SPONSORS CANNOT FIND ONE ANOTHER QUICKLY. ACCELERATING THESE MATCHES STRENGTHENS THE SCIENTIFIC ENTERPRISE, SUPPORTS ECONOMIC GROWTH, AND BROADENS ACCESS TO KNOWLEDGE. FASTER ADOPTION OF BREAKTHROUGH HEALTH TREATMENTS, CLEAN ENERGY DEVICES, AND ADVANCED MANUFACTURING METHODS IMPROVES PUBLIC WELFARE, CREATES JOBS, AND ENHANCES NATIONAL COMPETITIVENESS IN EMERGING TECHNOLOGY SECTORS. THIS I-CORPS PROJECT UTILIZES EXPERIENTIAL LEARNING COUPLED WITH A FIRST-HAND INVESTIGATION OF THE INDUSTRY ECOSYSTEM TO ASSESS THE TRANSLATION POTENTIAL OF THE TECHNOLOGY. THIS SOLUTION IS BASED ON THE DEVELOPMENT OF A RECOMMENDATION ENGINE THAT COMBINES ARTIFICIAL INTELLIGENCE REASONING WITH CONTINUOUSLY UPDATED KNOWLEDGE GRAPHS GENERATED FROM PATENT FILINGS, SCHOLARLY LITERATURE, AND INSTITUTIONAL ASSET RECORDS. THE TECHNOLOGY IS BASED ON INTERVIEWS WITH TECHNOLOGY TRANSFER PROFESSIONALS, INVESTORS, CORPORATE RESEARCHERS, AND COMMUNITY LEADERS. INSIGHTS GAINED FROM THESE ENGAGEMENTS GUIDE ITERATIVE REFINEMENTS TO ALGORITHMS, DATA PIPELINES, AND USER EXPERIENCES, ENSURING THAT THE PLATFORM REMAINS ACCURATE, TRANSPARENT, AND STRAIGHTFORWARD TO ADOPT. METRICS SUCH AS SEARCH ACCURACY, MATCH QUALITY, AND TIME TO FIRST CONTACT INFORM TECHNICAL MILESTONES, WHILE MARKET FEEDBACK INFORMS BUSINESS VIABILITY. THIS AWARD REFLECTS NSF'S STATUTORY MISSION AND HAS BEEN DEEMED WORTHY OF SUPPORT THROUGH EVALUATION USING THE FOUNDATION'S INTELLECTUAL MERIT AND BROADER IMPACTS REVIEW CRITERIA.- SUBAWARDS ARE NOT PLANNED FOR THIS AWARD.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $50.0k | 7/21/25 |