Project Grant 2504339
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under its Computer and Information Science and Engineering (CISE) Federal Grant Program to The Ohio State University. The grant, titled "Collaborative Research: SHF: MEDIUM: OASIS: An Open-Source AI-Driven EDA Tool for Real-Time Synthesis of Short-Distance Wireless Interconnects on Silicon", aims to develop an open-source AI-powered electronic design automation (EDA) tool for the real-time synthesis of...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) funds the development of an innovative computational electromagnetics (CEM) framework that leverages physics-informed artificial intelligence (AI) models. The project aims to enhance the analysis and design of on-chip optical interconnects, which are crucial for achieving ultra-high bandwidth and speeds in modern computing...
- This Project Grant award of $450,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop novel approaches to electronic design automation (EDA) for creating high-performance and efficient computer hardware. The research introduces a strategy that combines formal techniques with learning-based optimization to enable differentiable hardware synthesis, particularly suited for heterogeneous computing. This new...
- This $450,000 Project Grant awarded by the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) aims to transform the process of designing computer hardware through a novel approach to electronic design automation (EDA). The research project at Cornell University will develop differentiable hardware synthesis techniques that combine formal methods, machine learning, and parallel computing to optimize circuit design in a faster, less...
- 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 (NSF) awarded a $900,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University's Orspa division. The funding will be used to expand the application of electronic design automation (EDA) tools, traditionally used in microelectronics, to biomechanical devices such as implantable valves. The project aims to develop equivalent circuit models and leverage finite element analysis to rapidly explore...
- This $800,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to pioneer a computing system for massive AI workloads. The project will develop new architectural and design automation tools for a reconfigurable-on-package system using "tiny chiplets" - miniaturized composable computing components. This innovative approach seeks to address the challenges related to chiplet definition,...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $275,000 to Xmize LLC aims to develop an AI-powered software for optimizing wire routing in the design of custom analog/mixed-signal integrated circuits, MEMS, and optoelectronics. The proposed innovations include applying graph search methods to identify routable layout regions, developing mathematical models of complex design rules, and deploying an AI-powered solver to generate...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
- This $280,000 Project Grant, awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program (CFDA 47.070), is funding research by Northeastern University to design and optimize tiny vector symbolic architectures (TinyVSA) for efficient on-device artificial intelligence (AI) inference on tiny devices like wearables and IoT sensors. The project aims to develop more compact vector representations for VSA classifiers, enabling them to run continuously...
This Project Grant award, valued at $600,000 and funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the development of an open-source AI-driven electronic design automation (EDA) tool called OASIS. The tool will enable real-time synthesis of short-distance wireless interconnects on silicon for two cutting-edge applications: contactless connectors that leverage spatial multiplexing, and batteryless brain-machine interfaces that require real-time signal cancellation and sensitivity optimization. The research, led by the Stevens Institute of Technology and the Ohio State University, will focus on developing scalable strategies for training large-scale physics-informed neural networks (PINNs) efficiently and robustly to transform next-generation electromagnetic (EM) design. The project aims to replace traditional slow solvers with a faster, AI-driven alternative for EM simulations, particularly in managing parameter variations in real time.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $600.0k | 7/18/25 |