Project Grant 2349259

Award Date 10/1/23
Completion Date 3/31/26
Dollars Obligated $352K
Federal Grant Program
47.041
Assistance Type
Project Grant
Place of Performance
Austin, TX 78712, USA
Similar Awards
The National Science Foundation (NSF) awarded a $424,750 Project Grant under the Engineering (CFDA 47.041) program to the University of Rochester. The grant, awarded on September 1, 2024, will support the development of ultrashort-pulse optical neural network techniques for brain-scale computing. The research aims to leverage the low-loss, high-bandwidth, and interference-free properties of light to enable highly efficient, real-time processing of neural networks at massive scales, exceeding...
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 $467,930 federal Project Grant awarded by the National Science Foundation (NSF) under CFDA 47.041 - Engineering program supports the design and implementation of a novel class of metasurface-based optical neural networks, termed "meta-ONNs", at Northeastern University. The goal is to develop meta-ONNs that can operate at optical frequencies and realize diverse functions, including all-optical image recognition and pattern generation. The project consists of three main research...
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...
The National Science Foundation (NSF) Division of Electrical, Communications and Cyber Systems awarded a $400,000 Project Grant to the Texas A&M Engineering Experiment Station (Tees) under the NSF Engineering program (CFDA 47.041). The goal of the 3-year project is to develop an energy-efficient coherent optical interconnect architecture that can enable dramatic increases in datacenter and high-performance computing bandwidth-density and energy-efficiency. The key technical innovations...
The National Science Foundation (NSF) awarded a $600,000 Project Grant under the Computer and Information Science and Engineering program (CFDA 47.070) to the University of Texas at Austin. This 3-year grant aims to develop novel artificial synaptic devices and arrays based on graphene transistors that can seamlessly integrate with biological systems and respond to both electrical and ionic signals. The researchers will scale the graphene artificial synaptic transistors to...
This $1,550,000 National Science Foundation (NSF) Engineering (CFDA 47.041) project grant, titled "EFRI BEGIN OI: NEURON-SOFT ORGANOID-COMPUTER INTERFACES FOR LONG-TERM THREE-DIMENSIONAL NEURAL NETWORK COMPUTING," aims to integrate brain organoids with soft bioelectronics to create a system capable of complex computational tasks. The key products and services to be delivered under this award include: Developing neuron-soft bioelectronics with over 1,000 electrodes for seamless 3D...
This Project Grant award from the National Science Foundation (CFDA 47.041 - Engineering) provides $616,702 to the Regents of the University of Michigan to develop a novel photonic chip solution for high-bandwidth, energy-efficient data transmission between computing nodes for AI clusters. The project aims to create a heterogeneous multi-functional in-package photonic platform/interposer that integrates processing units, high-bandwidth memory, and accelerator chips with ultra-compact,...
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 $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,...

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 networks. The research also integrates educational activities, including an optics outreach program for a local middle school and a summer research program for underrepresented undergraduates. Through this grant, the University of Texas at Austin will deliver key technical advancements in optical information processing, contributing to the advancement of artificial neural network capabilities and their real-world applications.

Generated 8/6/24, 4:53 AM