Project Grant 2136679
Award Date
2/15/22
Completion Date
4/30/23
Dollars Obligated
$276K
Federal Agency
National Science Foundation
Awardee
Ai Pow LLC (HP49U28BVZJ3)
Federal Grant Program
47.084
Assistance Type
Project Grant
Place of Performance
College Station, TX, USA
Similar Awards
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...
The National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $200,000 Project Grant to Temple University to develop transformative machine learning and data analytics technologies for enabling AI-based applications on resource-constrained edge computing devices. The project aims to address gaps between the complexity of data and the limited computing resources on edge devices, as well as the need for robust predictive models across heterogeneous edge...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program aims to develop software frameworks that can efficiently serve and deploy machine learning models for a variety of AI-powered applications. The $600,000 award, spanning from October 2024 to September 2027, tasks the prime awardee, Georgia Tech Research Corporation, with creating agile mechanisms and policies to serve a family of AI models across...
This five-year, $199,995 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop a co-designed framework of hardware, software, and algorithms enabling extreme-scale machine learning systems for emerging artificial intelligence of things and internet of senses technologies. Specifically, the Saint Louis University team will pursue five research thrusts: developing hardware and compiler approaches for large-scale split learning...
This National Science Foundation (NSF) Project Grant award, under the Computer and Information Science and Engineering program (CFDA 47.070), provides $159,979 to the New York Institute of Technology (NYIT) from September 1, 2023 to August 31, 2026. The grant supports the development of transformative machine learning and data analytics technologies to enable efficient and robust artificial intelligence (AI)-based applications on resource-constrained edge computing devices such as IoT sensors,...
This National Science Foundation Project Grant of $299,181 supports research and education efforts toward opportunistic, fast, and robust in-cache artificial intelligence acceleration at the edge for Internet of Things devices. Funded under the Computer and Information Science and Engineering program (CFDA 47.070), the award to New Jersey Institute of Technology from January 1, 2023 to December 31, 2025 aims to design and deploy new hardware-oriented AI algorithms for efficient image...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,915 to Nouvai Inc. on December 15, 2023 is for developing a mixed-computation neural network acceleration stack to improve the energy efficiency and performance of artificial intelligence (AI) inference at the edge. The project aims to create a hardware acceleration stack and supporting software tools that can dynamically leverage different number systems and precision levels...
This National Science Foundation (NSF) Cooperative Agreement award under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program provides $1,000,000 in funding to Gravel Capital LLC to develop an artificial intelligence-powered printed circuit board assembly (PCBA) prototyping service. The project aims to create a rapid, cost-competitive PCBA manufacturing service that leverages computer vision and AI techniques to automate the design process, reduce innovation timelines, and...
This $134,992 federal Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at Rensselaer Polytechnic Institute (RPI) to develop energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: 1) leverage dynamic connectivity to reduce redundancy in AI models by adapting them to specific tasks and data; 2) provide architectural support for elastic processing...
This $200,000 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) supports the development of a novel chip architecture called CO-FABPRO (Concurrent Forward and Backward Propagation) that aims to revolutionize the training process for long-sequence machine learning models. The project, led by the University of Rhode Island, seeks to make AI training dramatically faster and more energy-efficient...