An integrated photorefractive analog matrix-vector multiplier for machine learning
Vlieg, Elger A.; Talandier, Lucas; Dangel, Roger; Horst, Folkert; Offrein, Bert J.
Applied Sciences 12, 4226 (1-11) (2022)
Applied Sciences 12, 4226 (1-11) (2022)
AI is fueling explosive growth in compute demand that traditional digital chip architectures cannot keep up with. Analog crossbar arrays enable power efficient synaptic signal processing with linear scaling on neural network size. We present a photonic photorefractive crossbar array for neural network training and inference on local analog memory. We discuss the concept and present results based on the first prototype hardware.
Related research projects
POST-DIGITAL
POST-DIGITAL: Neuromorphic computing in photonic and other nonlinear media
I.P.: Ingo Fischer, Claudio Mirasso
POST-DIGITAL is a Marie Skłodowska-Curie Innovative Training Network, funded by the European Union’s Horizon 2020 research and innovation programme. POST-DIGITAL is committed to form a new generation of engineers and researchers, affording …