Project Grant 2551339
- The National Science Foundation Division of Computing and Communication Foundations awarded the University of California, San Diego $300,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a machine-learning framework for neural light transport and material representation in computer graphics rendering. The project will create a unified machine-learning approach to learn how objects reflect light from real and simulated...
- The National Science Foundation Division of Computing and Communication Foundations awarded Cornell University $222,569 on October 1, 2025, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop machine perception systems that form cross-modal associations between vision, touch, and sound to learn material properties and microgeometry of physical objects. The award funds research across four thrusts: capturing 3D multimodal representations by registering...
- The National Science Foundation Division of Computing and Communication Foundations awarded Cornell University $451,594 on April 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop new algorithms for efficient machine learning training and inference using the Gittins Index theoretical framework. The project will create algorithms that reduce data center energy consumption during AI model training and deployment. On the training side, the work...
- The National Science Foundation Division of Computing and Communication Foundations awarded New York University $351,857 on May 15, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to research the alignment of computational efficiency and human visual perception in generative artificial intelligence models. The project develops a research framework to measure, model, and optimize the relationship between computational cost and human visual perception for...
- The National Science Foundation Division of Computing and Communication Foundations awarded the College of William & Mary $600,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop an AI-enhanced framework for authoring digital material representations from ordinary photographs. The research will investigate learned material-to-material (MAT2MAT) transformations that convert one digital material representation into another,...
- 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...
- This $199,040 Project Grant, awarded by the National Science Foundation's (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070), aims to develop new classes of computational algorithms that combine the benefits of direct computer simulations and the speed of machine learning predictions. The project, titled "XTRIPODS: HYBRID SCIENCE-MACHINE LEARNING SOLVERS FOR NANOPHOTONICS AND METAMATERIALS," will embed scientific knowledge into the machine learning...
- The National Science Foundation Division of Information and Intelligent Systems awarded Cornell University $500,000 on July 15, 2026, for collaborative research on quantum inference with Pauli measurements, focusing on fundamental limits and algorithms under the Computer and Information Science and Engineering program (CFDA 47.070). The award supports investigator-initiated research in computing and information science and engineering. Performance occurs at Cornell's Ithaca, New York campus...
- Cornell University received a three-year Project Grant award of $598,449 from the National Science Foundation Division of Computing and Communication Foundations under the Computer and Information Science and Engineering federal grant program (CFDA 47.070). The award will support research and development of specialized computer chips and software programs to accelerate artificial intelligence workloads using fine-grained unstructured sparsity and mixed precision techniques. Cornell University...
- The National Science Foundation Division of Materials Research awarded Cornell University a $4 million cooperative agreement on October 1, 2025, under the Mathematical and Physical Sciences program (CFDA 47.049) to advance artificial intelligence-driven materials discovery through the AI Materials Institute (AI-MI). The award funds development of the AI Materials Science Ecosystem (AIMS-EC), an open, cloud-based platform coupling a science-ready large-language model with multimodal data...
The National Science Foundation Division of Computing and Communication Foundations awarded Cornell University $300,000 on October 1, 2026, under the Computer and Information Science and Engineering program (CFDA 47.070) to develop a machine-learning framework for neural light transport and material representation in computer graphics. The project, performed in Ithaca, New York through September 30, 2029, addresses the computational complexity of realistic image synthesis by learning how objects reflect light directly from real and simulated measurements rather than requiring explicit modeling of fine geometric detail. The framework will enable three core capabilities: encoding material and light properties in a unified representation, predicting light reflection through scenes without explicit simulation, and generating fine-scale scene detail automatically from coarse models, text, and images. Applications span industrial design, entertainment, advertising, home remodeling, and architecture. The award supports curriculum development to integrate machine learning advances into computer graphics education.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $300.0k | 7/26/26 |