Project Grant 2534861
Award Date 10/15/25
Completion Date 9/30/28
Dollars Obligated $300K
Federal Agency
Federal Grant Program
Assistance Type
Project Grant
Place of Performance
Minneapolis, MN 55455, USA
Similar Awards
- 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...
- 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 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...
- The National Science Foundation (NSF) awarded a $600,000 project grant under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070) to the Regents of the University of Michigan to support research on reinforcement learning and transformer-inspired approaches for smart photonics inverse design. The project aims to enable non-experts to use artificial intelligence models to design sophisticated photonic structures for optical applications, while also advancing...
- 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 National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) project grant award of $100,000.00 to the Regents of the University of Michigan supports the development of a novel 3.5D integrated photonic interconnect solution. The project aims to address the growing bottleneck in data movement for next-generation artificial intelligence computing by introducing breakthroughs in network architecture, photonic devices, and advanced packaging. Key research tasks...
- 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 $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...
- The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems is awarding a $200,000 Project Grant under the Engineering program (CFDA 47.041) to the Regents of the University of Minnesota for a collaborative research project on "Resonant-Beam Based Optical-Wireless Communication." The key products and services to be delivered through this 3-year grant include: (1) developing novel channel models and signal processing techniques to address the...
- 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...