Aug 31, 2020
Research Advances Learning Capability of Drone Swarms
Researchers, including Aranya Chakrabortty, have developed a reinforcement learning approach that will allow swarms of unmanned vehicles to accomplish various missions while minimizing performance uncertainty.
Optimizing data flow allows ECE researchers to dramatically improve the performance of cyber-physical systems, from autonomous vehicles to smart power grids.
AI researchers from NC State ECE—including Tianfu Wu—have improved the performance of deep neural networks by combining feature normalization and feature attention into a single module.
NC State's Yaoyao Jia has been chosen to lead one of the new collaborative NSF programs, with a million-dollar grant aimed at improving our understanding of somatosensory feedback with the help of a cat.
An interdisciplinary collaboration across three colleges at NC State are working together to identify and analyze beneficial fungi in the core crops of North Carolina.
A partnership of researchers from ECE and Chemical and Biomolecular Engineering are laying out a fundamentally new approach to DNA data storage.
Being able to identify crop problems early can make the difference between saving a crop and losing it, but high-tech solutions can be costly. An interdisciplinary team is leveraging existing technology for a solution.
Lobaton's lab leverages AI to create a software integration for existing hardware to enable people using robotic prosthetics to walk in a safer, more natural manner on different types of terrain.
Platforms developed in the Center for Advanced Self- Powered Systems of Integrated Sensors and Technologies (ASSIST) allow for a wide range of health applications
A paper outlining a hardware solution to then next generation of cryptographic solutions by Aydin Aysu and Michela Becchi was chosen as Best Paper at the Design, Automation and Test in Europe Conference