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 Cooperative Agreement award of $1,000,000 from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program supports the development of a manufacturing monitoring system using sound spectrograms and artificial intelligence. The project aims to create a machine "speech recognition" system that can detect and analyze internal machine sounds to provide real-time health and status updates for industrial machinery. The innovative technology is expected...
This Cooperative Agreement award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $992,460 to Canetia Analytics, Inc., a small disadvantaged business based in San Diego, CA, to develop an AI-based, IoT-enabled system for structural health monitoring of infrastructure and buildings. The project aims to create a cost-effective, remote monitoring solution that can continuously assess the structural integrity of a wide...
This Project Grant from the National Science Foundation will support the development of a hardware-aware machine learning platform tailored for resource-constrained industrial devices. Ai Pow LLC was awarded $275,889 under the NSF Technology, Innovation, and Partnerships program to create an automated model discovery platform that reduces manual efforts by generating complex machine learning models considering hardware speed and capacity constraints. The platform aims to produce advanced...
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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Cooperative Agreement award of $1,200,991 to Mindtrace Technologies, Inc. supports the development of a first-of-its-kind cognitive dashboard software platform to improve neurosurgical planning and predict post-operative cognitive outcomes. The project aims to integrate multiple data sources, including behavioral tests and functional/structural brain mapping, using AI and machine learning to enable...
This National Science Foundation (NSF) federal grant award under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $299,738 to The Trustees of Columbia University in the City of New York to utilize advanced machine learning tools to analyze and quantify the socio-economic impacts of place-based innovations, such as the NSF's Regional Innovation Engines program, in New York and Louisiana. The project aims to create scalable models that can assess the impact...
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 $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...
This $999,900 Cooperative Agreement award from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program aims to create a pathway for underserved community college computer science students to gain practical experience and mentorship in artificial intelligence (AI) and machine learning (ML). The project will provide 150 students across three annual cohorts with 1-2 micro-internships where they contribute to AI/ML open-source projects and receive 8...