Project Grant 2504340
- 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...
- 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...
- 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...
- 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 National Science Foundation (NSF) Project Grant award under the Computer and Information Science and Engineering (CFDA 47.070) program provides $225,000.00 to the University of Massachusetts to develop closed-loop hybrid intelligence (HI) systems that integrate high-resolution optoelectronic neuromodulation and neuromorphic hardware. The research aims to demonstrate the ability of these co-designed HI systems to interface with biological neural networks and organoid models, with potential...
- The National Science Foundation (NSF) awarded a $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
- 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,...
- The National Science Foundation (NSF) awarded a $500,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) Federal Grant Program to the Regents of the University of Michigan. The grant, titled "ACED: A UNIFIED FRAMEWORK OF PHYSICS-INFORMED AND DOMAIN-ADAPTED GENERATIVE DIFFUSION MODEL FOR EFFICIENT AND RELIABLE NANOPHOTONICS INVERSE DESIGN", aims to develop an innovative deep learning framework that combines physics-informed principles with...
- 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 $252,210 Project Grant under the Integrative Activities program (CFDA 47.083) to Iowa State University of Science and Technology. The grant, with a performance period from January 15, 2025 to December 31, 2029, will fund the development of a novel system architecture using emerging devices and circuits to create intelligent computing systems based on ensembles of stochastic processing elements. This research aims to address the growing...
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 short-distance wireless interconnects on silicon. The research will focus on designing scalable strategies for training large-scale physics-informed neural networks (PINNs) to enable fast and accurate electromagnetic simulations. The project has a performance period from October 1, 2025 to September 30, 2029 and will explore applications such as contactless connectors and batteryless brain-machine interfaces.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/18/25 |