Project Grant 2534860
- The National Science Foundation (NSF) awarded a $300,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Minnesota for the project "Collaborative Research: Multi-Modal Sensing with Robust, Unified, and Scalable Diffractive Optical Neural Networks." This project explores a transformative computing paradigm based on photonic-driven, rather than electronic-based, information processing. The researchers will develop specialized, ultrathin...
- This $424,750 Project Grant awarded by the National Science Foundation's Engineering program (CFDA 47.041) supports the development of an ultrashort-pulse optical neural network system for brain-scale computing. The research aims to leverage the speed, bandwidth, and low-loss properties of light to enable real-time processing of billion-scale neural network models using minimal spatial elements. This approach seeks to overcome the limitations of current optical computing architectures. The...
- This $350,000 Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) supports the "COLLABORATIVE RESEARCH: ASCENT: HETEROGENEOUSLY INTEGRATED ELECTRONIC PHOTONIC AI ACCELERATORS (HIEPAA)" project led by the University of California, San Diego (UCSD). The project aims to develop energy-efficient artificial intelligence (AI) hardware by integrating thin-film lithium niobate, a high-performance electro-optic material, with silicon photonic chip...
- This Project Grant award from the National Science Foundation's Engineering program (CFDA 47.041) totaling $406,708 aims to develop energy-efficient AI hardware through the integration of thin-film lithium niobate with silicon photonic chip platforms. The project will design new architectures and circuit techniques to achieve high-resolution AI computation using low-precision building blocks, optimizing both efficiency and accuracy. The educational component will train students in photonic and...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award provides $650,000 to The Trustees of Columbia University in the City of New York to develop energy-efficient optical brain-inspired (neuromorphic) computing devices. The project aims to establish a 3D nanofabrication platform that combines DNA-programmable assembly and conventional lithographic methods to create novel optical metamaterials and integrate them into neuromorphic...
- This National Science Foundation (NSF) project grant, awarded under the Engineering (CFDA 47.041) program, supports the development of new optical devices called "intersubband neurons" that could enable ultrafast optical neural networks. The $352,180 award to the University of Texas at Austin, running from October 1, 2023 to March 31, 2026, aims to create these novel photonic devices that can perform computations at the speed of light, potentially outpacing electronic neural...
- This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (CFDA 47.084) program will support the development of high-efficiency, high-throughput photonic-electronic hybrid processors. The $180,000 award to the University of California, Berkeley will leverage wafer-scale heterogeneous integration of thin-film lithium niobate and silicon photonics/electronics to create computing circuits that can perform massive parallel tensor...
- This Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) provides $467,930 to Northeastern University to design and implement a novel class of metasurface-based optical neural networks, termed "meta-ONNs". The goal is to develop multiplexed meta-ONNs that can operate at optical frequencies and perform diverse functions like all-optical image recognition and pattern generation. The project consists of three main research thrusts: (1)...
- This $250,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CFDA 47.070) program will support collaborative research to transform integrated electro-photonic fabrics for light-speed communication and computation. The goal is to develop efficient electro-photonic computing platforms that surpass traditional electronic platforms in performance, energy-efficiency, and reliability. This research aims to establish a new ecosystem...
- This $150,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) funds the development of an innovative computational electromagnetics (CEM) framework that leverages physics-informed artificial intelligence (AI) models. The project aims to enhance the analysis and design of on-chip optical interconnects, which are crucial for achieving ultra-high bandwidth and speeds in modern computing...
This $400,000 Project Grant awarded by the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the development of a novel computing paradigm based on diffractive optical neural networks (DONNs). The project aims to create specialized, ultrathin computing systems composed of engineered nanostructures that manipulate light waves to perform inference tasks at the speed of light while consuming significantly less energy than conventional electronic platforms. This work has the potential to enable sustainable scaling of AI and data-intensive applications in future embedded and edge devices. The project will also expand the American workforce in AI and optical computing through educational initiatives, including integrating new AI- and photonics-focused courses into the undergraduate curriculum and engaging students through research opportunities and outreach programs. North Carolina State University, the primary award recipient, will collaborate with the University of Minnesota on this research and workforce development effort.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $400.0k | 9/2/25 |