This SBIR Phase I project grant from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) aims to develop an artificial intelligence-powered guidance system to enhance the efficiency, fairness, and cost-effectiveness of the U.S. property and casualty insurance claims process. The $274,999 award to Mayfair Group LLC, received on January 15, 2024, will fund the development of novel approaches for information extraction, data...
The National Science Foundation Division of Industrial Innovation awarded Innsightful Inc. a $256,000 Project Grant under the Engineering federal grant program (CFDA 47.041) from August 1, 2021 to July 31, 2022. The grant funds the development of a biometric wearable device for real-time mental health intervention of anxiety. The Engineering program seeks to improve quality of life and economic strength by fostering innovation and excellence in engineering research. This award supports those...
The National Science Foundation (NSF) awarded Insilicom LLC a $275,000 SBIR Phase I Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program. The grant supports the development of AI-powered, commercially viable applications enabled by Insilicom's large-scale biomedical knowledge graph. Key objectives include increasing the coverage of the knowledge graph, building a novel literature alert system called iPulse, and enhancing Insilicom's versatile query interface...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $305,000 to Beesafe Labs, LLC in San Diego, CA aims to develop an automated, scalable intelligence-gathering system using interactive artificial intelligence (AI) chatbot investigators to counteract social engineering cyber-attacks. The project proposes to leverage large language models (LLMs) to simulate potential victims and extract structured intelligence from attackers,...
This $200,000 Project Grant award, funded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CFDA 47.070) program, supports the development of an AI-guided framework named AIMCI (Artificial Intelligence for Managing Cyberinfrastructure). The key research thrusts include: (1) developing new AI models for predictive analysis of resource usage patterns and user behavior, (2) applying reinforcement learning methods to optimize resource management in a...
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...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
Intellerce LLC received a $256,000 Project Grant award from the National Science Foundation on August 1, 2021 to support development of an AI-based collaborative video streaming platform. The award is part of NSF's Engineering program (CFDA #47.041), which aims to foster innovation and excellence in engineering research and education. Under this one-year award concluding on May 31, 2022, Intellerce will develop a platform leveraging artificial intelligence technologies to enable collaborative...
This $304,943 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) supports the development and testing of an AI-driven foundation modeling framework of the atmosphere and ocean. The goal is to create a multimodal AI model that can provide advanced environmental intelligence to help businesses, municipalities, and governments navigate environmental volatility and extreme weather events. The award...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $304,929 to Causalit LLC is for the development of new artificial intelligence (AI) models that utilize causal understanding and reasoning to overcome limitations of existing statistical AI algorithms. The goal is to create more trustworthy, accurate, and interpretable AI systems suitable for high-trust healthcare applications. The project will explore leveraging causal...