The growing memristor industry
- Mario Lanza
- Sebastian Pazos
- et al.
- 2025
- Nature
Publications
14 results for Daniele Lelmini
Emerging Materials and Computing Paradigms for Temporal Signal Analysis
- Teng Zhang
- Stanislaw Wozniak
- et al.
- 2025
- Advanced Materials
Roadmap to neuromorphic computing with emerging technologies
- Adnan Mehonic
- Daniele Ielmini
- et al.
- 2024
- APL Materials
Hardware implementation of memristor-based artificial neural networks
- Fernando Aguirre
- Abu Sebastian
- et al.
- 2024
- Nature Communications
2022 roadmap on neuromorphic computing and engineering
- Dennis V Christensen
- Regina Dittmann
- et al.
- 2022
- Neuromorph. Comput. Eng.
Emerging neuromorphic devices
- Daniele Lelmini
- Stefano Ambrogio
- 2019
- Nanotechnology
Unsupervised Learning to Overcome Catastrophic Forgetting in Neural Networks
- Irene Muñoz-Martín
- Stefano Bianchi
- et al.
- 2019
- IEEE JXCDC
Energy-efficient continual learning in hybrid supervised-unsupervised neural networks with PCM synapses
- Stefano Bianchi
- Irene Muñoz-Martín
- et al.
- 2019
- VLSI Circuits 2019
A 4-Transistors/1-Resistor Hybrid Synapse Based on Resistive Switching Memory (RRAM) Capable of Spike-Rate-Dependent Plasticity (SRDP)
- Valerio Milo
- Giacomo Pedretti
- et al.
- 2018
- IEEE Transactions on VLSI Systems
Recommended Methods to Study Resistive Switching Devices
- Mario Lanza
- H.-S. Philip Wong
- et al.
- 2018
- Advanced Electronic Materials