Project Grant 2322713

Award Date 9/15/23
Completion Date 8/31/26
Dollars Obligated $600K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Madison, WI 53715, USA
Similar Awards
This $300,000 EAGER (Early-concept Grants for Exploratory Research) award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a framework called XAISE (eXplainable Artificial Intelligence for Science and Engineering) to enhance the explainability of artificial intelligence (AI) models for scientific and engineering applications. The project seeks to design, develop, and implement XAISE to improve the explainability of...
The National Science Foundation (NSF) awarded a $582,031 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the Regents of the University of Michigan, doing business as the University of Michigan. The grant will fund a 5-year research project focused on "Achieving Explainable Artificial Intelligence (AI) Through Human-AI Interaction." The goal of the project is to develop new scientific knowledge and design guidelines for delivering...
This $600,000 Project Grant awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to advance artificial intelligence (AI) by investigating the mathematical foundations and practical applications of deep learning models. The key focus is on understanding the properties of neural networks that enable them to model complex data and capture intricate dependencies, with the goal of uncovering the principles underlying...
The National Science Foundation (NSF) awarded a $329,183 Project Grant to the College of William & Mary under the Computer and Information Science and Engineering (CFDA 47.070) program. The grant, awarded on October 1, 2023, will fund the development of a framework and methodology to enable researchers and software engineers to better interpret the behavior of AI-powered developer tools that leverage neural language models for source code. The project aims to generate global and local...
The National Science Foundation (NSF) awarded a $256,004 Computer and Information Science and Engineering (CISE) program grant to the University of Wisconsin System to develop a novel computing system for advancing parallel computer-aided design (CAD) algorithms on heterogeneous hardware. This 13-month project will research three key components: (1) a parallel and heterogeneous task graph programming model to simplify CAD parallelization, (2) an efficient runtime system to support the...
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 $557,158 Project Grant award was made by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The grant supports research to devise novel mathematical operators that address performance bottlenecks in graph-based artificial intelligence (AI) applications. The project aims to unlock scalable and sustainable processing of sparsified graph neural network models, which are critical for emerging AI-powered...
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...
The University of Wisconsin-Madison was awarded a $916,000 Project Grant from the National Science Foundation under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The grant will fund the "SHF: MEDIUM: PROGRAM SYNTHESIS FOR WEAK SUPERVISION" project from July 2021 through June 2025. The project aims to advance the development of research cyberinfrastructure to enable and accelerate discovery and innovation in computing, communications, and...
The National Science Foundation (NSF) awarded a $143,362 Project Grant under the "Engineering" (CFDA 47.041) program to the University of Wisconsin - Madison for a collaborative research project titled "COLLABORATIVE RESEARCH: EXPEDITE CSI PROCESSING WITH LIGHTWEIGHT AI IN MASSIVE MIMO COMMUNICATION SYSTEMS". The objective is to develop novel algorithms and simplified AI structures to significantly reduce the computational complexity of channel state information (CSI)...

The National Science Foundation (NSF) has awarded a $599,756 Project Grant under the Computer and Information Science and Engineering (CISE) program to the University of Wisconsin - Madison. The grant, effective September 15, 2023 through August 31, 2026, will fund research to utilize Explainable Artificial Intelligence (XAI) to improve the computer-aided design process for very large scale integrated circuits. Key objectives include investigating how XAI can be used to avoid design rule violations, guide optimizations for machine learning hardware synthesis, and enhance chip layout obfuscation against security attacks. The research findings are expected to reduce time-to-market for electronic products, align with the 2022 Semiconductor Chips Act, and provide research opportunities for undergraduate students, particularly women and minorities. No sub-awards are planned under this grant.

Generated 6/18/24, 12:03 PM