Radio + Machine Learning

Seeking the Next Generation of Cognitive Radio Systems which Learn from Data and Generalize Well

 
RadioML is a community dedicated to pursuing robust, open, quantifiable advances in Radio Systems based on the adoption of Machine Learning and AI techniques. Recent advances in Machine Learning have made possible significantly different approaches in numerous signal processing domains which facilitate learning features, deep representations, and end-to-end systems directly from data possible and promote increased generalization. These techniques hold significant promise for advancing the radio and signal processing communities and this community seeks to facilitate the communication of research, techniques, benchmarks, and results among this area of investigation.