This $107,965 Project Grant award from the National Science Foundation's STEM Education program (CFDA 47.076) will support the development and deployment of a foundational semiconductor research and education cyberinfrastructure (CI) tool at San Jose State University Research Foundation. The CI will integrate machine learning device models and semiconductor device data to empower semiconductor device research and education, lowering the entry barrier and facilitating broader participation in...
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 $469,995 project grant, awarded by the National Science Foundation (NSF) under the STEM Education (formerly Education and Human Resources) program (CFDA 47.076), aims to develop a semiconductor curriculum and learning framework for high school students. The project will create game-based semiconductor modules and hands-on learning experiences, enhanced with artificial intelligence (AI) technology, to engage diverse students in exploring semiconductor design and manufacturing. Key activities...
This National Science Foundation (NSF) Engineering program (CFDA 47.041) Project Grant award provides $250,000 to the University of Florida for a 3-year period from October 1, 2024 to September 30, 2027. The award aims to experimentally demonstrate wafer-scale 2D transistors with physical channel lengths below 5 nm, investigating the fundamental limits of these transistors to advance computational technologies beyond the "silicon-impossible" territory. The key activities include: (1)...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) award of $206,439 to the University of Florida provides funding for the development of a scalable, learning-guided hardware IP protection platform. The key products and services being delivered under this 4-year grant include: Utilizing reinforcement learning techniques to discover novel attack vectors against logic locking and identify root causes behind...
This $206,097 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to develop virtual laboratories and instructional resources on the use of advanced network interface cards known as "smartNICs" in cyberinfrastructure. The project will create hands-on virtual labs and companion materials, such as guided experiments and interactive booklets, to educate cyberinfrastructure professionals,...
This Project Grant award for $206,568, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070), is focused on optimizing chiplet-based designs for advanced artificial intelligence (AI) hardware and systems. The key products and services to be delivered through this 5-year project include: 1) developing AI/machine learning-assisted methodologies for system and package-level co-design to optimize power, performance, chip...
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 Project Grant award of $600,000 from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) aims to address challenges in optimizing voltage drop and electromigration in power distribution networks (PDNs) for advanced integrated circuits. The primary goals are to develop new design techniques to ensure robust voltage levels and reliability for chips powering artificial intelligence, infrastructure, communications, and electronics....
This $275,000 National Science Foundation (NSF) Project Grant, awarded under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program, funds the development and validation of materials and processes for advanced semiconductor manufacturing at Geminatio, a for-profit organization. The goal is to enable the progression of Moore's Law and strengthen domestic semiconductor manufacturing capacity and capability, which has been impacted by recent supply chain issues. The project seeks to...