This Project Grant award for $211,129 was provided by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The award was granted to Northeastern University on January 1, 2025, with a target completion date of May 31, 2025. The project aims to develop a design framework for efficient information processing that leverages non-binary representations and in-memory computing, inspired by neural networks and biological systems. Key research thrusts include: (1) advancing analog/mixed-signal (AMS) design automation and neural network-inspired model abstractions, (2) supporting flexible and efficient in-memory computing architectures, and (3) exploring energy-efficient, context-aware analog-to-information frontend designs for sensor systems. The project seeks to enable joint optimization of circuits, architectures, and algorithms across a range of applications, including in-memory computing and near-sensor processing, to address challenges in performance, efficiency, safety, and security in heterogeneous systems.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $211.1k | 4/2/25 |