Project Grant N000141912595

This $616,702 Project Grant awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) aims to develop a novel heterogeneous photonic chip solution to enable ultra-high bandwidth, energy-efficient data transmission for artificial intelligence (AI) computing clusters. The key products and services to be delivered include: A highly integrated photonic chip platform that accommodates processing units (CPUs, TPUs, GPUs), high-bandwidth memory, and accelerator/ASIC...

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...

The National Science Foundation awarded a $1.2 million project grant to the University of Washington under the Computer and Information Science and Engineering program (CFDA 47.070) to support research titled "FET: MEDIUM: A HYBRID CO-PROCESSING UNIT (HCU) USING PHASE-CHANGE PHOTONICS IN CMOS FOR LARGE-SCALE AND ULTRA-FAST MACHINE LEARNING ACCELERATION" from July 2021 through June 2025. The grant funds research to develop a hybrid co-processing unit using phase-change photonics...

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...

This Project Grant from the National Science Foundation's $236,260 Computer and Information Science and Engineering program will fund research at The George Washington University to develop critical enablers for future programmable converged wireless-optical networks capable of supporting beyond 5G/6G applications. Specifically, the University researchers will work to design resilient fronthaul architectures using novel power-over-fiber technology; develop automatic edge cloud management and...

This Project Grant award of $447,691 from the National Science Foundation's (NSF) Division of Computing and Communication Foundations (CFDA 47.070 - Computer and Information Science and Engineering) supports research to develop a novel dual-purpose photonic fabric for high-performance, energy-efficient, and scalable heterogeneous chiplet-based architectures. The key objectives of the research are to: (1) enable power-efficient and scalable on-chip communications between cores and accelerators,...

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 Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $272,615 to Lab2701 LLC to develop an Oscillator Processing Unit (OPU), a novel analog computing device intended for edge computing applications. The OPU aims to overcome the Von Neumann bottleneck, enabling faster, more energy-efficient, and smaller form factor computing compared to traditional digital processors. The project leverages two...

This Cooperative Agreement award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $1,250,000 in funding to Photonect Interconnect Solutions Inc., a for-profit small business, to develop a chip technology for cheaper and easier photonic device manufacturing. The key objectives of this 2-year project, awarded on June 15, 2025, are to: (1) create a laser control system for attaching optical fibers, (2) incorporate...