Project Grant 1831151

The National Science Foundation (NSF) awarded a $303,089 SBIR Phase I Project Grant to Bioimaginix LLC, a small business under the West Virginia University Research Corporation, to develop a low-cost artificial intelligence (AI) and machine learning (ML)-based diagnostic tool for early detection of Alzheimer's disease (AD) and mild cognitive impairment (MCI) using magnetic resonance imaging (MRI) brain scans. The goal of this project is to create an AI-ML platform that can accurately distinguish...

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...

Federal Cooperative Agreement Summary AI Linear Inc. was awarded $1.25 million through the National Science Foundation (NSF) Technology, Innovation, and Partnerships (TIP) program (CFDA 47.084) on July 15, 2025, for an SBIR Phase II project with completion targeted for June 30, 2027. The awardee will develop an artificial intelligence (AI)-enabled integrated circuit (IC) designed for real-time anomaly detection in predictive maintenance applications. The IC combines an ultra-low-power analog...

This $255,999 National Science Foundation award under the Technology, Innovation, and Partnerships program will support Zenoleap LLC's development of novel superconducting neuromorphic computing circuits. The awardee will design, fabricate, and characterize atomic-tunable memristors and superconducting quantum interference device neurons to enable true biological brain-inspired deep learning network algorithms. This superconducting neuromorphic circuit aims to significantly improve energy...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program, CFDA 47.070, provides $530,704 to Florida International University (FIU) to conduct research on improving tiered memory management in in-memory databases and analytic frameworks using machine learning. The key objectives are to: (1) design new tiered memory management techniques that leverage machine learning to optimize performance, quality of service, and...

This National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Project Grant, award ID 2403723, provides $500,000.00 to Cornell University to develop novel algorithms and hardware designs for energy-efficient, memory-optimized spiking neural network (SNN) systems on edge computing devices. The project aims to advance the practical deployment of neuromorphic computing for applications like drones, autonomous robots, portable medical devices, and wearable...

This $250,000 Project Grant, awarded by the National Science Foundation's Computer and Information Science and Engineering (CISE) program, supports a collaborative research effort focused on developing formal methods to synthesize and verify in-memory computing systems for neural networks. The project aims to: Verify the reliability of analog and digital in-memory computing (IMC) circuits used to accelerate neural networks, and Leverage machine learning and formal methods to synthesize...

Semiotic AI, Inc. received a $256,000 Small Business Innovation Research Phase I Project Grant from the National Science Foundation to accelerate machine learning on encrypted data from July 1, 2021 to March 31, 2022. Funded through the NSF's Engineering program (CFDA #47.041), which seeks to improve quality of life and economic strength through engineering innovation and excellence, the project aims to develop techniques that enable machine learning to be performed directly on encrypted data...

This SBIR Phase I Project Grant awarded by the National Science Foundation (CFDA 47.084 - NSF Technology, Innovation, and Partnerships) in the amount of $304,900.00 on April 15, 2025 supports the development of a machine-learning enabled analog-to-digital converter (ADC) by Magnolia Electronics Inc. The project aims to enhance the scientific and technological understanding of the ADC process by demonstrating a new approach based on machine learning. This approach has the potential to measure...

This Project Grant award for $200,000 from the National Science Foundation (NSF) Engineering program (CFDA 47.041) supports research by Southern Illinois University Carbondale (SIU) to develop hardware-constraint-aware design and optimization techniques for memristor-crossbar-array (MCA) based neural network accelerators. The research aims to bridge the gap between software design tools and the physical limitations of MCA hardware, enabling more efficient and cost-effective development of...