175 citations · 180 across the 4 of their papers we have counts for
5 papers · 1 filter
Designing large arrays of interacting spin-torque nano-oscillators for microwave information processing
Philippe Talatchian, Miguel Romera, Flavio Abreu Araujo +6
Arrays of spin-torque nano-oscillators are promising for broadband microwave signal detection and processing, as well as for neuromorphic computing. In many of these applications,…
Microwave neural processing and broadcasting with spintronic nano-oscillators
P. Talatchian, M. Romera, S. Tsunegi +14
Can we build small neuromorphic chips capable of training deep networks with billions of parameters? This challenge requires hardware neurons and synapses with nanometric dimension…
Nano-oscillator-based classification with a machine learning-compatible architecture
Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier +1
Pattern classification architectures leveraging the physics of coupled nano-oscillators have been demonstrated as promising alternative computing approaches, but lack effective lea…
Circuit-Level Evaluation of the Generation of Truly Random Bits with Superparamagnetic Tunnel Junctions
Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +4
Many emerging alternative models of computation require massive numbers of random bits, but their generation at low energy is currently a challenge. The superparamagnetic tunnel ju…
Low-Energy Truly Random Number Generation with Superparamagnetic Tunnel Junctions for Unconventional Computing
Damir Vodenicarevic, Nicolas Locatelli, Alice Mizrahi +10
Low-energy random number generation is critical for many emerging computing schemes proposed to complement or replace von Neumann architectures. However, current random number gene…