582 citations · 807 across the 9 of their papers we have counts for
9 papers
Defending against the nothing-at-stake problem in multi-threaded blockchains
Leonard Lys, Sebastien Forestier, Damir Vodenicarevic +1
In blockchain systems, the scarcity of a resource is used as a Sybil protection mechanism. In Proof-of-Work blockchains, that resource is computing power. In the event of a fork, t…
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…
Vowel recognition with four coupled spin-torque nano-oscillators
Miguel Romera, Philippe Talatchian, Sumito Tsunegi +14
Substantial evidence indicates that the brain uses principles of non-linear dynamics in neural processes, providing inspiration for computing with nanoelectronic devices. However,…
A Neural Network Based on Synchronized Pairs of Nano-Oscillators
Damir Vodenicarevic, Nicolas Locatelli, Damien Querlioz
Artificial neural networks are intensively used to perform cognitive tasks such as image classification on traditional computers. With the end of CMOS scaling and increasing demand…
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…
Synchronization Detection in Networks of Coupled Oscillators for Pattern Recognition
Damir Vodenicarevic, Nicolas Locatelli, Julie Grollier +1
Coupled oscillator-based networks are an attractive approach for implementing hardware neural networks based on emerging nanotechnologies. However, the readout of the state of a co…