This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and architectures for neural computing. The project focuses on materials-level exploration, device fabrication, circuit-level innovations, and system-level architectures to enable computing-in-memory solutions that are compact, robust, and energy-efficient. The outcomes are expected to positively impact critical applications such as computer-aided diagnosis, robotics, and speech/face recognition in areas like healthcare, defense, and security. The award period runs from June 1, 2024 to May 31, 2028.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $1.2m | 4/19/24 |