This $2,000,000 federal Project Grant award from the National Science Foundation's (NSF) Engineering program (CFDA 47.041) supports the University of California, Irvine's research to develop 3D biological neural networks (3DNNs) for intelligent biomedical motor control systems. The goal is to demonstrate the feasibility of using cultured 3DNNs to interpret brain signals, execute motor functions, and self-correct for errors, with the long-term vision of restoring lost neurological functions for...
The National Science Foundation (NSF) awarded a $500,000 Project Grant to Northwestern University under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of application-specific integrated circuit (ASIC) prototypes that leverage complementary metal-oxide semiconductor (CMOS) circuits integrated with voltage-controlled magnetic memory devices to enable probabilistic computing. The key products to be delivered through this 3-year project...
The National Science Foundation awarded a $500,000 Project Grant to Northwestern University under the Computer and Information Science and Engineering federal grant program (CFDA 47.070) to support research titled "COLLABORATIVE RESEARCH: FET: MEDIUM: NEUROPLANE: SCALABLE DEEP LEARNING THROUGH GATE-TUNABLE MOS2 CROSSBARS" from September 1, 2021 through August 31, 2025. The grant funding will support Northwestern University's research efforts to advance the development of scalable...
This $607,900 Project Grant award is funded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The project aims to develop a new type of probabilistic computing device based on antiferromagnetic tunnel junctions, which have faster dynamics than existing magnetic probabilistic bits (p-bits). The research team, led by Northwestern University, will co-design these p-bits and explore domain-specific computing...
This $100,000 federal Project Grant was awarded by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to the University of Wisconsin System, through its University of Wisconsin - Madison division. The goal of the project is to design a new class of computer chips, called "Cognitive Computing Machines (C2M)", that are inspired by the cognitive functions of the hippocampus region of the brain. The project aims to leverage recent advancements in 3D...
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 National Science Foundation Engineering grant of $100,000 awarded on May 15, 2023 to the University of Illinois will fund the development of foundational semiconductor technologies and co-design methodologies for risk-aware inference at the edge using two-dimensional semiconductors. Key objectives include exploring novel device concepts based on 2D materials to enable Bayesian inference of deep neural networks with ultra-low power and robust autonomy for edge robotics applications. The...
This Project Grant award from the National Science Foundation (NSF) Engineering program (CFDA 47.041) provides $319,999 to the University of Notre Dame to develop an implantable neural interface platform with three key innovations: 1) optimized resistive RAM memory for efficient data storage, 2) programmable analog front-end circuits for high-density neural signal acquisition, and 3) specialized processors for energy-efficient computation of neural network operations. The goal is to create an...
The University of Michigan will receive $393,983 from the National Science Foundation under a three-year Project Grant to develop scaled non-volatile bulk analogue memory for neuromorphic computing. The NSF Division of Electrical, Communications and Cyber Systems awarded the grant through its Engineering program (CFDA 47.041), which seeks to foster innovation in engineering research. Specifically, the University will work to advance memory technologies that can support neuromorphic computing...
The National Science Foundation (NSF) has awarded a $330,000 Project Grant under the Engineering program (CFDA 47.041) to Yale University. The "NeroFlex" project aims to develop an advanced implantable neural interface platform that integrates optimized resistive RAM memory, programmable analog front-end circuits, and specialized processors for efficient brain data acquisition and computational processing. The research plan encompasses device fabrication, mixed-signal circuit design,...
This $2,000,000 federal Project Grant award was provided by the National Science Foundation (NSF) under the Engineering program (CFDA 47.041) to Northwestern University. The goal of the project is to develop electronic devices that emulate the cerebellar functions of the brain, such as anomaly detection, to enable more robust and energy-efficient systems in applications like cybersecurity, autonomous robotics, and power-delivery control. The research combines expertise from theoretical neuroscience, materials science, and computer engineering to create bio-inspired hardware prototypes using nanoelectronic materials. In addition, the project will comprehensively analyze the ethical, legal, and societal implications of the research in collaboration with diverse stakeholders, and conduct education and outreach activities to broaden participation among underrepresented groups. Northwestern University has planned sub-awards with the University of Illinois and the University of North Carolina at Asheville to support various aspects of the project.