A multi-university team with heavy involvement from industry leaders is working to change that. The team, led by researchers from The University of Texas at Austin and 6G@UT's Dr. Sensen Li, plans to infuse artificial intelligence into the design process for RFICs to reduce the difficulty of making these important chips.
A paper published by students and faculty from the Chandra Family Department of Electrical Engineering in collaboration with Meta has received an Outstanding Paper Honorable Mention at MLSys 2025, the premier conference on machine learning and systems.
6G@UT/UT Aerospace students discovered how low-Earth orbit satellite constellations can provide highly accurate positioning data, showcasing the broader technological potential of these rapidly expanding systems.
