IEEE JETCAS article gets recognition from HPCwire
Published 1/7/2018
An article entitled 'Mixed-Signal Neural Net Leverages Memristive Technology,' by John Russell, was posted on HPCwire.com on January 8, 2018. The article features the paper Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level, which was published in the IEEE Journal on Emerging and Selected Topics in Circuits and Systems in November, 2017. The paper was authored by Gangotree Chakma, Md Musabbir Adnan, Austin Wyer, Ryan Weiss, Katie Schuman and Garrett Rose.
Chakma | Adnan | Wyer | Weiss | Schuman | Rose |