This $219,227 Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at the University of Texas at San Antonio (UTSA) to develop innovative methods for integrating adaptive tiny machine learning models into battery-less Internet of Things (IoT) systems. The key objectives are: Fundamental redesign and optimization of tiny machine learning models to enable timely data analysis and...
This Project Grant award, totaling $375,022, was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program. The objective of this project is to transition from the conventional cloud-centric computing paradigm to a "sense-decide-action" mechanism that enables autonomous, energy-efficient edge intelligence processing of IoT data. The key technical approaches include: Designing and analyzing non-Von Neumann...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant (CFDA 47.070), titled "CAREER: ELASTIC INTERMITTENT COMPUTATION ENABLING BATTERYLESS EDGE INTELLIGENCE", will provide $259,488 to the University of Illinois to develop sustainable computing technologies for the Internet of Things (IoT). The key products and services to be delivered through this 5-year project (10/1/2024 - 9/30/2029) include: Advancing the foundations of...
This three-year, $279,334 National Science Foundation project grant funds research at the New Jersey Institute of Technology to develop integrated sensing and normally-off computing architectures for Internet of Things devices. The research focuses on designing processing-in-sensor units and processing-near-sensor units that co-integrate sensing and processing capabilities. These hybrid platforms will feature granularly configurable arithmetic operations to balance accuracy, speed and power...
This $383,771 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports a collaborative research effort at the University of Massachusetts (UMass) and Worcester Polytechnic Institute (WPI) to develop techniques for efficiently offloading heterogeneous computational workloads to edge computing devices. The research aims to create novel methods for handling diverse processing needs, such as graphics,...
This Project Grant award of $234,631 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research to address the challenge of efficiently handling diverse computational workloads on edge computing platforms. The researchers at Worcester Polytechnic Institute (WPI) will develop novel techniques for offloading heterogeneous tasks to field-programmable gate arrays (FPGAs) within an edge overlay framework, to ensure high...
This $600,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports the development of a new unifying software environment and ecosystem for building and deploying Internet of Things (IoT) systems. The project aims to create publicly available, extensible IoT software infrastructure that enables new cross-disciplinary discoveries and makes IoT more broadly accessible. The key technical advances...
This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) is supporting a $263,830 collaborative research project to develop secure and robust intermittent computing capabilities for resource-constrained Internet of Things (IoT) devices. The research aims to address critical security vulnerabilities in these normally-off, energy-harvesting devices that are widely used across various IoT applications, from...
This $300,000 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to develop batteryless technology for Internet of Things (IoT) devices. The project integrates artificial intelligence (AI) and deep learning techniques to harness the potential of batteryless sensors for personalized data analytics, with far-reaching implications for healthcare, IoT, and augmented/virtual reality applications. Key objectives include developing new deep...
The National Science Foundation (NSF) awarded Virginia Polytechnic Institute & State University (Virginia Tech), a leading public research university, a $450,000 Project Grant under the NSF's Computer and Information Science and Engineering program (CFDA 47.070). The grant supports technical advances in the design of small, low-power computing hardware and software for energy harvesting systems to restore the continuous power abstraction for batteryless Internet of Things (IoT) devices....