This $300,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program (CFDA 47.070) supports research at New York University to develop efficient computer systems for augmented and virtual reality through a perception-guided approach. Specifically, the researchers will design software-hardware mechanisms to quantitatively model human visual perception and leverage those models across system stacks to achieve an order of magnitude gain in...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) federal grant award (CFDA 47.070) provides $134,992 to Rensselaer Polytechnic Institute (RPI) to develop methods and architectural support for energy-efficient and scalable artificial intelligence (AI) systems. The project aims to reduce redundant computations and data movements in AI models through dynamic model connectivity, heterogeneous computing architectures, and hardware-aware model...
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 an initiative at Brown University to integrate machine learning (ML) techniques into electronic design automation (EDA) optimization algorithms. The goal is to improve the performance and speed of EDA tools, which are critical for designing and manufacturing computer chips. The project aims to develop numerical embeddings of chip...
The National Science Foundation awarded a $240,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to Rutgers, The State University in New Brunswick, NJ. The goal of this 3-year grant is to develop transformative machine-learning and data analytics technologies to enable AI-based applications on resource-constrained edge computing devices like IoT devices, AR/VR headsets, and drones. The project seeks to address the gaps between the data...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program Project Grant, awarded to Duke University, aims to develop more robust object detection methods and augmented reality (AR) techniques to enhance the reliability of AR applications in real-world settings. The $599,817 award, granted on November 1, 2023, will enable the project team to: 1) design and develop a robust AR object detection framework to enhance the reliability of AR object detectors;...
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 $1,200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to democratize access to large-scale visual AI models. The research will focus on developing novel learning approaches that reduce the data, computation, and expert knowledge required to create and deploy specialized computer vision applications. Key objectives include enhancing inference efficiency, enabling fast model specialization...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Award (CFDA 47.070) for $731,058, awarded on October 1, 2024, supports the design and evaluation of an energy-efficient hardware/software framework for on-chip implementation of deep neural networks (DNNs). The project aims to achieve a 10x-100x reduction in DNN energy consumption through new circuit designs, a novel near-memory architecture integrating processing elements with DRAM,...
This National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $400,000 in funding to Northeastern University to develop advanced algorithms and infrastructure for low-latency edge computing to support high-quality augmented/virtual/mixed reality (XR) applications on mobile devices. The key product deliverables include: (1) Algorithms to optimize wireless base station association, beamforming, and content...
This $618,159 National Science Foundation project grant supports research into developing energy-efficient hardware and software for machine learning and artificial intelligence systems. Funded under the Computer and Information Science and Engineering program, the award supports The Washington University in investigating frameworks using quantum-tunneling dynamic-analog memory devices and novel online learning algorithms. Specific objectives include exploring Fowler-Nordheim dynamic analog...