This Project Grant award from the National Science Foundation (NSF) Computer and Information Science and Engineering (CISE) program (CFDA 47.070) provides $121,584 to the University of Texas at Austin to advance distributed data compression and communication technologies. The key objectives are to: 1) develop innovative frameworks for constructing compression and communication algorithms that leverage insights from information theory, generative models, and deep learning; 2) establish methodologies to discover new algorithms that optimize performance for modern data-intensive applications like the Internet of Things, virtual reality, and cooperative robotics; and 3) integrate the research with educational and outreach activities to broadly disseminate the project outcomes. This 5-year award, running from July 2025 to June 2030, aims to push the boundaries of compression and communication by integrating cutting-edge computational techniques. The project will establish new benchmarks and algorithms to drive progress in this critical area of information and data processing.
Mod # | Description | Reason For Modification | Federal Obligation (Click to sort descending) | Date (Click to sort ascending) |
|---|---|---|---|---|
| Not listed | $121.6k | 12/30/24 |