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'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)...
The National Science Foundation awarded the University of Washington a $1,970,395 Project Grant under the Engineering (47.041) federal grant program. The grant will fund the development of optical neural co-processors for predictive and adaptive brain restoration and augmentation to address neurological disorders. Specifically, the university will create new algorithms based on neural signals collected from the brain to provide higher accuracy for brain-inspired computing devices. It will also...
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...
The University of Rochester received a $1,499,921 Project Grant award from the National Science Foundation Division of Electrical, Communications and Cyber Systems through the Engineering program (CFDA 47.041) to develop a novel photonic non-Von Neumann computing system using optical frequency combs. The four-year project aims to push the boundaries of nature-based computing in efficiency, capability and applicability for machine learning algorithms. Key products and services include...
This $380,000 Project Grant award from the National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems under CFDA Program 47.041 (Engineering) will fund the development of new types of on-chip "topological photodetectors" that can detect and differentiate between different modes and properties of light, such as its phase, polarization, and orbital angular momentum. These novel photodetectors, based on emerging quantum materials like Weyl semimetals,...
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...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $450,000 Project Grant to the University of Rochester to develop miniaturized metasurface-based devices for ultrafast optical pulse characterization. This 3-year project, under NSF's Engineering program (CFDA 47.041), aims to advance the field of ultrafast metrology by creating compact and accurate devices for temporally and spatially characterizing ultrafast optical pulses. Specifically, the...
This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) grant (CFDA 47.070) awarded to George Washington University (GWU) provides $424,291 over 4 years to research the development of a novel dual-purpose photonic fabric that can enable both power-efficient on-chip data communications and high-performance neural network acceleration for future heterogeneous chiplet-based computing architectures. The key objectives are to: (1) provide high-bandwidth and...
This $407,538 Project Grant awarded by the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research and development of a novel optical neuroimaging technology called Diffuse Correlation Spectroscopy (DCS) at Duke University. The goal is to enable deep tissue measurement of blood flow within the brain, which can provide valuable insights into neurological and mental health conditions. The project aims to develop a parallelized DCS system using single-photon...
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 project will train two PhD students in the intersecting fields of machine learning, ultrafast nonlinear optics, and advanced optical technologies. The University of Rochester is the sole awardee for this 3-year project, which runs from September 1, 2024 to August 31, 2027.