Cover Image

Reservoir Computing with Magnetic Thin Films

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dale, Matthew, Griffin, David, Evans, Richard F. L., Jenkins, Sarah, O'Keefe, Simon, Sebald, Angelika, Stepney, Susan, Torre, Fernando, Trefzer, Martin
Format:	Preprint
Published:	2021
Subjects:	Emerging Technologies Materials Science Hardware Architecture Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Preprocessing Methods for Memristive Reservoir Computing for Image Recognition
by: Daniels, Rishona, et al.
Published: (2025)

Reservoir Computing Benchmarks: a tutorial review and critique
by: Wringe, Chester, et al.
Published: (2024)

Trilinear Compute-in-Memory Architecture for Energy-Efficient Transformer Acceleration
by: Mia, Md Zesun Ahmed, et al.
Published: (2026)

First Demonstration of Second-order Training of Deep Neural Networks with In-memory Analog Matrix Computing
by: Zhang, Saitao, et al.
Published: (2025)

Event-based backpropagation on the neuromorphic platform SpiNNaker2
by: Béna, Gabriel, et al.
Published: (2024)

VVTEAM: A Compact Behavioral Model for Volatile Memristors
by: Patni, Tanay, et al.
Published: (2024)

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
by: Daniels, Rishona, et al.
Published: (2026)

Approximate ADCs for In-Memory Computing
by: Ghosh, Arkapravo, et al.
Published: (2024)

Mean-Field Assisted Deep Boltzmann Learning with Probabilistic Computers
by: Chowdhury, Shuvro, et al.
Published: (2024)

CIMNAS: A Joint Framework for Compute-In-Memory-Aware Neural Architecture Search
by: Krestinskaya, Olga, et al.
Published: (2025)

Analog In-Memory Computing Attention Mechanism for Fast and Energy-Efficient Large Language Models
by: Leroux, Nathan, et al.
Published: (2024)

TEXEL: A neuromorphic processor with on-chip learning for beyond-CMOS device integration
by: Greatorex, Hugh, et al.
Published: (2024)

A Comparative Analysis of Microrings Based Incoherent Photonic GEMM Accelerators
by: Vatsavai, Sairam Sri, et al.
Published: (2024)

Dynamic neural network with memristive CIM and CAM for 2D and 3D vision
by: Zhang, Yue, et al.
Published: (2024)

Resistive Memory-based Neural Differential Equation Solver for Score-based Diffusion Model
by: Yang, Jichang, et al.
Published: (2024)

Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
by: Katti, Prabodh, et al.
Published: (2023)

Continuous-Time Digital Twin with Analogue Memristive Neural Ordinary Differential Equation Solver
by: Chen, Hegan, et al.
Published: (2024)

Hardware-Friendly Implementation of Physical Reservoir Computing with CMOS-based Time-domain Analog Spiking Neurons
by: Kimura, Nanako, et al.
Published: (2024)

Joint Hardware-Workload Co-Optimization for In-Memory Computing Accelerators
by: Krestinskaya, Olga, et al.
Published: (2026)

HOMI: Ultra-Fast EdgeAI platform for Event Cameras
by: H, Shankaranarayanan, et al.
Published: (2025)

EvGNN: An Event-driven Graph Neural Network Accelerator for Edge Vision
by: Yang, Yufeng, et al.
Published: (2024)

Integrated Security Mechanisms for Weight Protection in Memristive Crossbar Arrays
by: Rahman, Muhammad Faheemur, et al.
Published: (2025)

DendroNN: Dendrocentric Neural Networks for Energy-Efficient Classification of Event-Based Data
by: Krausse, Jann, et al.
Published: (2026)

Computing with Clocks
by: Edwards, Jonathan, et al.
Published: (2024)

Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing
by: Yousefzadeh, Amirreza, et al.
Published: (2026)

NeuroFlex: Column-Exact ANN-SNN Co-Execution Accelerator with Cost-Guided Scheduling
by: Manjunath, Varun, et al.
Published: (2025)

SNAP-V: A RISC-V SoC with Configurable Neuromorphic Acceleration for Small-Scale Spiking Neural Networks
by: Gunawardana, Kanishka, et al.
Published: (2026)

ReLANCE: A Resource-Efficient Low-Latency Cortical Neural Acceleration Engine
by: Kumar, Sonu, et al.
Published: (2025)

Functional Stability of Software-Hardware Neural Network Implementation The NeuroComp Project
by: Oleksii, Bychkov, et al.
Published: (2025)

Darwin3: A large-scale neuromorphic chip with a Novel ISA and On-Chip Learning
by: Ma, De, et al.
Published: (2023)

SAGA: Synthesis Augmentation with Genetic Algorithms for In-Memory Sequence Optimization
by: Robins, Andey, et al.
Published: (2024)

Automated Placement of Analog Integrated Circuits using Priority-based Constructive Heuristic
by: Grus, Josef, et al.
Published: (2024)

An Efficient Multicast Addressing Encoding Scheme for Multi-Core Neuromorphic Processors
by: Su, Zhe, et al.
Published: (2024)

Catwalk: Unary Top-K for Efficient Ramp-No-Leak Neuron Design for Temporal Neural Networks
by: Lister, Devon, et al.
Published: (2025)

FlexNN: A Dataflow-aware Flexible Deep Learning Accelerator for Energy-Efficient Edge Devices
by: Raha, Arnab, et al.
Published: (2024)

Variability-Aware Approximate Circuit Synthesis via Genetic Optimization
by: Balaskas, Konstantinos, et al.
Published: (2023)

Wet TinyML: Chemical Neural Network Using Gene Regulation and Cell Plasticity
by: Somathilaka, Samitha, et al.
Published: (2024)

YANA: Bridging the Neuromorphic Simulation-to-Hardware Gap
by: Pachideh, Brian, et al.
Published: (2026)

A 0.5-V Linear Neuromorphic Voltage-to-Spike Encoder Using a Bulk-Driven Transconductor
by: Akbari, Meysam, et al.
Published: (2026)

RAMAN: Resource-efficient ApproxiMate Posit Processing for Algorithm-Hardware Co-desigN
by: Khan, Mohd Faisal, et al.
Published: (2025)