This $274,904 Small Business Innovation Research (SBIR) Phase I award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development of an integrated computer vision capability to construct detailed 3D models from 2D photographs. The project aims to integrate geometric and semantic methods to accurately extract critical infrastructure asset features, such as utility pole height, inclination, wire gauges, deterioration, and...
This SBIR Phase I project, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084), aims to develop an AI-powered platform that can extract and synthesize "dark data" in materials science into an accessible and actionable format. The $275,000 award to FUM Technologies, Inc., a small business located in Cambridge, MA, will fund the creation of a customizable, conversational digital expert system that leverages large...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award to Actualization AI LLC, a minority-owned small business in Tampa, FL, provides $274,926 to develop an automated method for converting policies, rules, and laws into a format that can be understood and enforced by both humans and machines. The project aims to create "code-augmented policies" (CAPs) using natural language processing techniques to allow AI systems like...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Phase I Small Business Innovation Research (SBIR) grant awarded $275,000 to ADA TECH LLC to develop a novel artificial intelligence-powered generative design solution. The project aims to integrate consumer data, Internet of Things (IoT) telemetry, and design for excellence (DFX) engineering specifications into 3D generative computer-aided-design models. The primary objectives are to enable the...
This Project Grant award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Sufficiently Advanced, Inc., a for-profit small business, to develop advanced AI-powered robotic control systems. The goal is to enhance the feasibility and capability of using generative AI to enable more cost-effective deployment of robotic automation, addressing repetitive, dull, dirty, and dangerous tasks across various industries. In...
Insightfinder Inc. received a $256,000 Project Grant award from the National Science Foundation on August 15, 2021 to develop an artificial intelligence system for enterprise software incident management. The project is funded through the NSF's Engineering program (CFDA 47.041) and focuses on fostering innovation in engineering research and education. Insightfinder will leverage artificial intelligence to create a software that helps organizations better manage incidents and improve response...
This $274,936 Project Grant awarded by the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program supports the development and validation of innovative technology capable of learning to infer from unlabeled time series financial data. The project aims to address technical hurdles in machine reasoning of qualitative financial information, reliance on human annotation, difficulties with transfer learning, and scarcity of labeled financial...
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) SBIR Phase I Project Grant award of $274,996 to Algoface Inc., dated March 1, 2024, aims to develop a novel AI system called "Face Analyzer/Semantic Search" that bridges descriptive text and facial photos. Unlike conventional facial recognition systems, this technology aims to enable facial analysis and search without requiring a probe photo for comparisons. The key objectives are to construct a comprehensive training dataset, expand computer...
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...