Παρακολούθηση
Giacomo Pedretti
Giacomo Pedretti
Research Scientist, Hewlett Packard Laboratories
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα hpe.com
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Παρατίθεται από
Παρατίθεται από
Έτος
In materia reservoir computing with a fully memristive architecture based on self-organizing nanowire networks
G Milano, G Pedretti, K Montano, S Ricci, S Hashemkhani, L Boarino, ...
Nature materials 21 (2), 195-202, 2022
3412022
Learning of spatiotemporal patterns in a spiking neural network with resistive switching synapses
W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ...
Science advances 4 (9), eaat4752, 2018
2822018
Solving matrix equations in one step with cross-point resistive arrays
Z Sun, G Pedretti, E Ambrosi, A Bricalli, W Wang, D Ielmini
Proceedings of the National Academy of Sciences 116 (10), 4123-4128, 2019
2502019
Memristive neural network for on-line learning and tracking with brain-inspired spike timing dependent plasticity
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
Scientific reports 7 (1), 5288, 2017
1822017
Analog content-addressable memories with memristors
C Li, CE Graves, X Sheng, D Miller, M Foltin, G Pedretti, JP Strachan
Nature communications 11 (1), 1638, 2020
1782020
Device and circuit architectures for in‐memory computing
D Ielmini, G Pedretti
Advanced Intelligent Systems 2 (7), 2000040, 2020
1582020
Brain‐inspired structural plasticity through reweighting and rewiring in multi‐terminal self‐organizing memristive nanowire networks
G Milano, G Pedretti, M Fretto, L Boarino, F Benfenati, D Ielmini, I Valov, ...
Advanced Intelligent Systems 2 (8), 2000096, 2020
1212020
One-step regression and classification with cross-point resistive memory arrays
Z Sun, G Pedretti, A Bricalli, D Ielmini
Science advances 6 (5), eaay2378, 2020
1142020
Tree-based machine learning performed in-memory with memristive analog CAM
G Pedretti, CE Graves, C Li, S Serebryakov, X Sheng, M Foltin, R Mao, ...
Nature communications 12 (5806), 1-10, 2021
902021
Demonstration of hybrid CMOS/RRAM neural networks with spike time/rate-dependent plasticity
V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ...
2016 IEEE International Electron Devices Meeting (IEDM), 16.8. 1-16.8. 4, 2016
892016
In-memory computing with resistive memory circuits: Status and outlook
G Pedretti, D Ielmini
Electronics 10 (9), 1063, 2021
652021
Neuromorphic motion detection and orientation selectivity by volatile resistive switching memories
W Wang, E Covi, A Milozzi, M Farronato, S Ricci, C Sbandati, G Pedretti, ...
Advanced Intelligent Systems 3 (4), 2000224, 2021
612021
In-memory PageRank accelerator with a cross-point array of resistive memories
Z Sun, E Ambrosi, G Pedretti, A Bricalli, D Ielmini
IEEE Transactions on Electron Devices 67 (4), 1466-1470, 2020
502020
Stochastic learning in neuromorphic hardware via spike timing dependent plasticity with RRAM synapses
G Pedretti, V Milo, S Ambrogio, R Carboni, S Bianchi, A Calderoni, ...
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1 …, 2017
502017
Time complexity of in-memory solution of linear systems
Z Sun, G Pedretti, P Mannocci, E Ambrosi, A Bricalli, D Ielmini
IEEE Transactions on Electron Devices 67 (7), 2945-2951, 2020
442020
Unsupervised learning to overcome catastrophic forgetting in neural networks
I Munoz-Martin, S Bianchi, G Pedretti, O Melnic, S Ambrogio, D Ielmini
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 5 …, 2019
382019
Computing of temporal information in spiking neural networks with ReRAM synapses
W Wang, G Pedretti, V Milo, R Carboni, A Calderoni, N Ramaswamy, ...
Faraday discussions 213, 453-469, 2019
372019
A spiking recurrent neural network with phase-change memory neurons and synapses for the accelerated solution of constraint satisfaction problems
G Pedretti, P Mannocci, S Hashemkhani, V Milo, O Melnic, E Chicca, ...
IEEE Journal on Exploratory Solid-State Computational Devices and Circuits 6 …, 2020
362020
A 4-transistors/1-resistor hybrid synapse based on resistive switching memory (RRAM) capable of spike-rate-dependent plasticity (SRDP)
V Milo, G Pedretti, R Carboni, A Calderoni, N Ramaswamy, S Ambrogio, ...
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (12 …, 2018
362018
Modeling-based design of brain-inspired spiking neural networks with RRAM learning synapses
G Pedretti, S Bianchi, V Milo, A Calderoni, N Ramaswamy, D Ielmini
2017 IEEE International Electron Devices Meeting (IEDM), 28.1. 1-28.1. 4, 2017
292017
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