Project Grant 2507092
- This SBIR Phase I project from the National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) program is focused on developing a new energy-efficient 3D memory technology using advanced indium gallium zinc oxide (IGZO) transistors for next-generation artificial intelligence (AI) chips. The $304,994 award to Atomos 3D LLC will fund the fabrication and testing of a stacked IGZO vertical transistor, with the goal of demonstrating a novel 3T memory cell architecture...
- This Project Grant award from the National Science Foundation (NSF) under the Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) provides $275,000 to Axpro Semi, a small business located in Sunnyvale, CA. The funding supports the development of a RISC-V and FPGA pipeline-coupled heterogeneous compute microprocessor architecture and emulation software tools. The goal is to dramatically improve CPU performance and enable more affordable, energy-efficient, and scalable computing...
- 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...
- The National Science Foundation (NSF) awarded a $400,000 Project Grant under the Computer and Information Science and Engineering (CFDA 47.070) program to Arizona State University, Division (doing business as Orspa), for the project "COLLABORATIVE RESEARCH: SHF: MEDIUM: TINY CHIPLETS FOR BIG AI: A RECONFIGURABLE-ON-PACKAGE SYSTEM". This 4-year project (7/1/2024 - 6/30/2028) aims to pioneer a computing system for massive AI workloads, including new architectural and design automation...
- The National Science Foundation (NSF) awarded a $266,000 Project Grant to the Georgia Tech Research Corporation, doing business as the Office of Sponsored Programs, under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of a compact and energy-efficient "compute-in-memory" accelerator for deep learning applications leveraging ferroelectric vertical NAND memory technology. Key objectives include designing and evaluating...
- This Project Grant from the National Science Foundation will support the development of a hardware-aware machine learning platform tailored for resource-constrained industrial devices. Ai Pow LLC was awarded $275,889 under the NSF Technology, Innovation, and Partnerships program to create an automated model discovery platform that reduces manual efforts by generating complex machine learning models considering hardware speed and capacity constraints. The platform aims to produce advanced...
- This National Science Foundation (NSF) project grant award under the Engineering program (CFDA 47.041) provides $275,000 to develop a novel brain-inspired processor-in-memory system powered by environmentally-sustainable carbohydrate-based memristors. The key objectives are to create an energy-efficient, renewable, and ecologically-friendly computing solution to address sustainability challenges in artificial intelligence (AI) systems and computing devices. The project will leverage innovative...
- This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $1,200,000 to Purdue University to develop scalable and ultra-low-power neural accelerators based on 2D ferroelectric semiconductors. The research aims to address hardware needs for future artificial intelligence (AI) platforms by utilizing the unique properties of ferroelectric semiconductors to design energy-efficient circuits and...
- This $250,000 Project Grant award from the National Science Foundation's Computer and Information Science and Engineering (CFDA 47.070) program supports research to develop domain-specific 3D ReRAM-based Processing-in-Memory (PIM) accelerators for streaming time series applications. The collaboration between researchers at UC Riverside, Arizona State University, Georgia Institute of Technology, and Washington State University aims to define CBA-PIM accelerators for time series data analytics,...
- This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $274,915 to Nouvai Inc. on December 15, 2023 is for developing a mixed-computation neural network acceleration stack to improve the energy efficiency and performance of artificial intelligence (AI) inference at the edge. The project aims to create a hardware acceleration stack and supporting software tools that can dynamically leverage different number systems and precision levels...
This National Science Foundation (NSF) Technology, Innovation, and Partnerships (CFDA 47.084) Project Grant award of $304,988 to Dhichips Inc. in West Henrietta, NY aims to develop a flexible, few-shot learning processor-in-memory (PIM) hardware accelerator. The PIM is designed to improve the energy efficiency of real-time data processing for safety-critical applications such as autonomous driving by embedding processing elements within the memory subsystem. The proposed PIM architecture utilizing modular lookup table-based processing elements is expected to achieve one to two orders of magnitude improvement in energy efficiency compared to traditional CPU and GPU-based systems. The research outcomes from this Phase I STTR project are anticipated to impact the rapidly growing AI-driven automation market, which is projected to reach $78.63B in the US by 2030.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $305.0k | 8/21/25 |