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...
The University of California Santa Cruz will receive $458,486 under a two-year Project Grant from the National Science Foundation Division of Computing and Communication Foundations. The grant will fund research titled "Collaborative Research: Algebraic Framework of Compositional Functions for New Structure, Training, and Explainability of Deep Learning" from January 1, 2022 to December 31, 2024. The research aims to develop new techniques for deep learning model structure, training...
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, San Diego (UCSD) was awarded a $455,058 project grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program (CFDA 47.070). The 4-year project, which started on July 1, 2024, focuses on developing techniques for a mathematical understanding of deep learning and its application to a variety of neural network models and data sets. The key objectives are to: 1) compare different networks and understand...
The University of California, Santa Barbara (UCSB) received a $592,720 Project Grant from the National Science Foundation (NSF) under the Computer and Information Science and Engineering program (CFDA 47.070). The grant funds research to verify the safety and reliability of deep neural networks through innovative domain-specific architectures such as quantum and probabilistic computing platforms. At the device level, UCSB will improve the energy efficiency of existing probabilistic-bit designs...
This two-year, $250,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop techniques for improving the interpretability and robustness of deep neural networks. Specifically, the University of California, Santa Barbara will apply ideas from communication theory and neuroscience to actively shape the features extracted by individual layers of neural networks in addition to end-to-end training. By learning "matched...
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 (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 National Science Foundation (NSF) Division of Information and Intelligent Systems awarded a $600,000 Project Grant to the University of California, San Diego (UCSD) under the Computer and Information Science and Engineering (CFDA 47.070) program. The 3-year grant, effective July 1, 2023, supports research to develop dynamic neural network architectures that can efficiently enable multimodal perception, including vision, audio, and language processing. The research aims to address...
The University of California, Santa Barbara was awarded a $200,000 Project Grant from the National Science Foundation Division of Mathematical Sciences. The grant falls under the Mathematical and Physical Sciences program (CFDA 47.049) and will support research titled "DATA-DRIVEN DISCOVERY OF DYNAMICS IN INTERACTING AGENT SYSTEMS AND LINEAR DIFFUSION PROCESSES" from August 15, 2021 through July 31, 2024. The grant funding will enable research to promote progress in mathematical and...