175 citations · 407 across the 14 of their papers we have counts for
7 papers · 1 filter
Convolutional Neural Networks with Radio-Frequency Spintronic Nano-Devices
Nathan Leroux, Arnaud De Riz, Dédalo Sanz-Hernández +3
Convolutional neural networks are state-of-the-art and ubiquitous in modern signal processing and machine vision. Nowadays, hardware solutions based on emerging nanodevices are des…
2022 Roadmap on Neuromorphic Computing and Engineering
Dennis V. Christensen, Regina Dittmann, Bernabé Linares-Barranco +56
Modern computation based on the von Neumann architecture is today a mature cutting-edge science. In the Von Neumann architecture, processing and memory units are implemented as sep…
Physics for Neuromorphic Computing
Danijela Markovic, Alice Mizrahi, Damien Querlioz +1
Neuromorphic computing takes inspiration from the brain to create energy efficient hardware for information processing, capable of highly sophisticated tasks. In this article, we m…
Energy-efficient stochastic computing with superparamagnetic tunnel junctions
Matthew W. Daniels, Advait Madhavan, Philippe Talatchian +2
Superparamagnetic tunnel junctions (SMTJs) have emerged as a competitive, realistic nanotechnology to support novel forms of stochastic computation in CMOS-compatible platforms. On…
A scalable method to find the shortest path in a graph with circuits of memristors
Alice Mizrahi, Thomas Marsh, Brian Hoskins +1
Finding the shortest path in a graph has applications to a wide range of optimization problems. However, algorithmic methods scale with the size of the graph in terms of time and e…
Overcoming device unreliability with continuous learning in a population coding based computing system
Alice Mizrahi, Julie Grollier, Damien Querlioz +1
The brain, which uses redundancy and continuous learning to overcome the unreliability of its components, provides a promising path to building computing systems that are robust to…
Neural-like computing with populations of superparamagnetic basis functions
Alice Mizrahi, Tifenn Hirtzlin, Akio Fukushima +4
In neuroscience, population coding theory demonstrates that neural assemblies can achieve fault-tolerant information processing. Mapped to nanoelectronics, this strategy could allo…