Our work featured in APL Machine Learning’s “2023 Papers with Best Practices in Data Sharing and Comprehensive Background Review”

Our article, Classification of multi-frequency RF signals by extreme learning, using magnetic tunnel junctions as neurons and synapses by Nathan Leroux et al., is featured in the “2023 Papers with Best Practices in Data Sharing and Comprehensive Background Review” list of APL Machine Learning.

You can also read a nice Scilight (Editor’s highlight) about our work: Using spintronic devices in neural networks to analyze radio signals