The University of California, Santa Barbara will conduct collaborative research on probabilistic computing through integrated nano-devices from July 2021 to June 2024 through a $270,000 Project Grant from the National Science Foundation. The research aims to advance a device-to-systems approach for probabilistic computing through integrated nano-devices. It will support investigator-initiated work under the NSF's Computer and Information Science and Engineering program, which seeks to advance...
The University of California, Santa Barbara (UCSB) was awarded a $599,997 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program. The funding will support the development of innovative machine learning technology to address productivity and quality challenges in integrated circuit (IC) design and manufacturing. The project aims to create a semi-supervised learning framework to enable data-efficient circuit optimization,...
The University of California, Santa Barbara was awarded a $299,966 project grant from the National Science Foundation Division of Computing and Communication Foundations. The grant is part of the NSF's Mathematical and Physical Sciences program (CFDA 47.049) and will support research titled "COLLABORATIVE RESEARCH: SCALE MODL: ADAPTIVITY OF DEEP NEURAL NETWORKS" from October 1, 2021 through September 30, 2024. The grant funding will enable collaborative research exploring the...
This $607,900 Project Grant award, funded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) program (CFDA 47.070), will support research and development of domain-specific probabilistic computing systems using stochastic antiferromagnetic tunnel junctions. The project brings together experts in materials, devices, circuits, and architectures to co-design new probabilistic bits (p-bits) based on antiferromagnetic tunnel junctions, which...
The University of California, Santa Barbara (UCSB) received a three-year, $124,971 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant supports the development of new machine learning techniques and software tools for data-driven modeling, simulation, and design of soft materials with targeted properties. Specifically, UCSB will apply adversarial training methods and deep neural networks to...
The University of California, Santa Barbara (UCSB) was awarded a $439,984 Project Grant by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Program (CFDA 47.070) to conduct research on mitigating bias in machine learning algorithms. The goal of the 3-year project is to develop theoretical frameworks and principled algorithms to enhance fairness in both static and dynamic machine learning-based decision-making systems. The research will investigate...
The National Science Foundation (NSF) under the Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070) has awarded a $300,000 Project Grant to the University of California, Santa Barbara (UCSB) Office of Research to conduct research on the theoretical foundations of quantum pseudorandomness. The 3-year project aims to systematically develop the theoretical underpinnings of quantum pseudorandomness and explore its applications, including areas such as...
The National Science Foundation (NSF) Office of Emerging Frontiers and Multidisciplinary Activities awarded a $1,999,968 Project Grant to the University of California, Santa Barbara (UCSB) under the NSF Engineering (CFDA 47.041) program. This grant aims to develop scalable algorithms and hardware for human-brain-scale neuromorphic systems with practical learning capabilities. The key objectives are to create hardware-friendly local learning algorithms, a framework for continual online...
The University of California, Santa Barbara received a $500,000 Project Grant award from the National Science Foundation on August 15, 2021 to develop an integrated unipolar-0.5T0.5R RRAM crossbar array for neuromorphic computing. The project aims to advance research supported by the Computer and Information Science and Engineering program (CFDA #47.070) through July 31, 2024. Specifically, the university will utilize the funding to create a novel resistive random-access memory (RRAM)...
The University of California, Santa Barbara will receive $334,786 from the National Science Foundation under a Project Grant award titled "COLLABORATIVE RESEARCH: A UNIFYING DEEP LEARNING FRAMEWORK USING CELL COMPLEX NEURAL NETWORKS." The funding period is from December 1, 2021 to November 30, 2024. The grant will support research into developing a unified deep learning framework using cell complex neural networks. This work aligns with the goals of the National Science Foundation's...