Researchers in NC State ECE have turned a longstanding challenge in DNA data storage into a useful tool.
ECE researchers fine-tune control over AI image generation with a new approach that allows AI to move or alter elements in an image while keeping them identifiably the same.
A new model from ECE and MEAS incorporates machine learning and could enable longer-range hurricane forecasts–up to 18 months in advance.
ECE and Epidemiology coming together to create a network of mussel cyborgs to serve as environmental sentinels.
NC State engineers continue to improve flexible wearable devices powered by body heat.
Mantis Shrimp inspire a new breed of light sensors that are small enough to fit on a smartphone, but capable of hyperspectral and polarimetric imaging.
NC State researchers from Textiles, BME, and ECE sewed a soft, flexible sensor system to help map pressure points on an amputee’s prosthesis.
Researchers including NC State ECE’s Yaoyao Jia have developed a wireless chip that can stimulate the brain with light and electricity.
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.
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.