This $1.2 million Project Grant from the National Science Foundation Office of Advanced Cyberinfrastructure, under the Computer and Information Science and Engineering federal grant program (CFDA 47.070), will support the development of a geometry-aware and deep learning-based cyberinfrastructure for scalable modeling of solids and fluids at the University of California, Irvine from June 2022 to May 2025. The university will build a library of deep neural networks trained to solve single-physics...
This Project Grant award of $725,000 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program aims to develop a scalable infrastructure for AI-driven predictive simulation enhancements. The University of California, San Diego (UCSD) will create an open, sustainable software development kit (SDK) that seamlessly integrates artificial intelligence (AI) with high-performance computing (HPC) workflows. The project will deliver new and enhanced core...
This $600,000 project grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, will support research to develop a new Bayesian diffusion model framework for advanced visual perception and cognition systems. The University of California, San Diego (UCSD) will serve as the primary awardee, with the goal of revisiting the analysis-by-synthesis methodology by integrating generative priors into the learning and inference...
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...
This $299,968 Project Grant award, provided by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), supports the University of California, San Diego (UCSD) in enabling large-scale research projects on the NVIDIA DGX cloud platform. The award aims to assist NAIRR pilot researchers with onboarding, porting workflows, user management, cluster management, software installation, profiling, performance tuning, and data movement...
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...
This $120,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research to address challenges in computer vision (CV) for global biodiversity monitoring. The key products and services to be delivered include: Developing robust CV approaches to identify rare, visually similar, and novel categories in biodiversity data, by augmenting limited training data and creating efficient active curation systems....
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...
The University of California, San Diego (UCSD) was awarded a 5-year, $165,000 Project Grant from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070). The goal of this project is to develop algorithms, software, and systems that can automatically generate high-quality labeled data to mitigate the lack of labeled training data in specialized domains such as healthcare, legislation, and environmental sciences. The proposed approaches...
This $207,737 federal Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) will fund research to develop a new class of machine learning models called "Programmatic Foundation Models" that can efficiently analyze large-scale satellite, aerial, and ground imagery. The goal is to create interpretable, robust AI models that can understand global and local phenomena from images, providing insights...