Project Grant N000142412647

This $200,000 Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) supports research at San Diego State University Foundation (dba San Diego State University Research Foundation) to improve the efficiency and accuracy of sketching and streaming algorithms using machine learning. The key objectives are to: 1) Enhance existing sketching and streaming algorithms through machine learning to improve space and...

The National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) Federal Grant Program awarded a $277,789 project grant to Worcester Polytechnic Institute (WPI) to develop novel methods for adapting foundation models, which leverage complex neural networks, to multimodal sequential decision-making applications. The project, titled "Collaborative Research: RI: SMALL: Adapting Foundation Models for Multimodal Sequential Decision Making: New Focuses, Formalisms,...

This Project Grant award of $199,999 from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program supports research and educational activities at Macalester College to advance 3D drawing and observational sketching in cross-reality environments spanning the physical, virtual, and mixed reality spaces. The key products and services to be delivered include developing novel user interface techniques and algorithms to enable seamless transitions...

This Project Grant award from the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program provides $250,000 to Northwestern University to develop novel foundation models and learning methods for automating the manufacturing design process. The project aims to leverage large language models like GPT-4 and multi-modal machine learning to enable the generation of CAD models and optimized manufacturing process instructions from natural language inputs...

This Project Grant award from the National Science Foundation's Division of Information and Intelligent Systems (CFDA #47.070 Computer and Information Science and Engineering) supports research to explore automatically converting freehand design drawings into parametric CAD models. The $599,999 award to Brown University will develop a system to translate from the visual language of drawing to the formal language of computer-aided design (CAD) software. This technology aims to increase the...

This four-year, $400,000 project grant from the National Science Foundation's Computer and Information Science and Engineering program aims to develop new techniques for 3D scene understanding. Specifically, the Stanford University researchers will explore implicit neural representations to model scene structure and details from raw images and videos. They will integrate findings into course development and partner with organizations to teach artificial intelligence, computer vision, and...

The National Science Foundation (NSF) awarded a $749,972 Project Grant under the Computer and Information Science and Engineering (CISE) program to Purdue University in West Lafayette, Indiana. This 4-year grant, effective October 1, 2023, supports the development of P4Sketch, a domain-specific, sketch-based language that extends the P4 data plane programming language. P4Sketch allows network architects to naturally and flexibly express high-level network design ideas and optimization targets,...

This $300,000 Project Grant, awarded by the National Science Foundation (NSF) under the Computer and Information Science and Engineering (CFDA 47.070) program, is supporting the development of an "Open-World Foundation Model" (OWFM) - a new paradigm of large language models designed to reliably interact with dynamically changing real-world information. The research aims to address key challenges in AI by creating algorithms, theorems, and systems that can overcome the limitations of...

This Project Grant from the National Science Foundation Division of Information and Intelligent Systems provides $469,704 to support research in developing deep learning-empowered nonlinear deformable models for computer graphics applications. Funded under the Computer and Information Science and Engineering program (CFDA #47.070), the award will support research at the University of Utah from October 1, 2022 to April 30, 2024. The project aims to develop new techniques integrating advanced...

This four-year, $400,000 Project Grant from the National Science Foundation's Computer and Information Science and Engineering program will fund the development of new neural material models for more realistic computer graphics at the University of California, San Diego. Specifically, the university researchers will build machine learning-based models to more accurately simulate the complex reflectance patterns of materials at fine scales, going beyond current parametric models. The neural...