Project Grant 2518375
- The National Science Foundation (NSF) awarded a $1,500,000 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to Carnegie Mellon University. The grant, titled "POSE: Phase II: An Open-Source Ecosystem for Universal and Accessible Generative Artificial Intelligence (AI) Deployments," aims to develop a foundational software infrastructure that supports generative AI applications across a range of environments, from cloud platforms to mobile devices....
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $274,636 to Rensselaer Polytechnic Institute (RPI) to conduct research on developing energy-efficient and scalable artificial intelligence (AI) systems. The key objectives are to: 1) leverage dynamic connectivity in AI models to reduce redundancy and energy consumption, 2) explore heterogeneous architectures integrating approximate,...
- The National Science Foundation (NSF) awarded a $299,635 Project Grant under the Technology, Innovation, and Partnerships (CFDA 47.084) program to the University of Texas at Arlington (UTA) for a project titled "POSE: PHASE I: SCOPING AND PLANNING FOR AN OPEN-SOURCE ECOSYSTEM OF MACHINE LEARNING MODELS THAT SELECT TEXTS FOR RESEARCH PURPOSES". This grant supports scoping and planning activities to transition an academic research artifact - machine learning software that identifies...
- 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 Project Grant award, provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070), aims to revolutionize artificial intelligence (AI) training through the development of a novel chip architecture called Co-FABPRO (Concurrent Forward and Backward Propagation). The $200,000 award, with a project period from October 1, 2024 to September 30, 2026, seeks to create a disruptive approach that will make AI...
- 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...
- This National Science Foundation (NSF) Project Grant award for $299,974 under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program aims to advance public policy analysis capabilities by transforming tax-benefit microsimulations into open-source infrastructure accessible to local governments, nonprofits, and citizens. The "PATHWAYS TO ENABLE OPEN-SOURCE ECOSYSTEMS (POSE)" project will enhance scientific understanding by making policy models transparent and...
- This $279,201 project grant, awarded by the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (CFDA 47.084) program, aims to build a sustainable open-source ecosystem (OSE) around a widely adopted platform designed to streamline the administration of shared high-performance computing (HPC) resources. The key objectives are to implement governance, development, and contribution models that will support the long-term, community-driven evolution of the software....
- This $350,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering program (CFDA 47.070) will fund the development of an open-source, multiscale, application-agnostic platform (OPEN-MAP) for heterogeneous system-in-package co-design. Led by Purdue University, the consortium aims to break barriers across applications, design domains, and abstraction levels in modeling, simulation, optimization, and design through OPEN-MAP. The platform will...
- The National Science Foundation (NSF) has awarded a $600,000 Project Grant under its Computer and Information Science and Engineering (CISE) federal grant program (CFDA 47.070) to the Trustees of the Stevens Institute of Technology. The funding will support the development of an open-source, AI-driven electronic design automation (EDA) tool for real-time synthesis of short-distance wireless interconnects on silicon, titled "OASIS". This tool will leverage physics-informed neural...
The National Science Foundation (NSF) has awarded a $300,000 Project Grant under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program to Brown University. This 12-month grant, with an end date of July 31, 2026, aims to accelerate the adoption of open-source tools for designing energy-efficient artificial intelligence (AI) hardware systems. The key objectives of this "Pathways to Enable Open-Source Ecosystems (POSE)" project are to: (1) conduct a comprehensive needs assessment, (2) evaluate the ecosystem through domain-specific pilot deployments, (3) analyze barriers to educational adoption, (4) design community governance models, and (5) promote contributor growth through training and mentorship. The project seeks to enable rapid prototyping, lower barriers to system-on-chip design, and establish a sustainable ecosystem for modular, transparent, and reusable hardware design. This will advance semiconductor and computing innovation while expanding access to next-generation AI hardware design.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 8/15/25 |