tag: reservoir computing

Physical Neural Networks: A Survey (U. of Lübeck, TU Hamburg)
By - 15 Jun, 2026 - Comments: 0

Researchers from the University of Lübeck and TU Hamburg published a technical paper titled “Beyond Silicon: Materials, Mechanisms, and Methods for Physical Neural Computing.” Abstract: “Physical implementations of neural computation now extend far beyond silicon hardware, encompassing substrates such as memristive devices, photonic circuits, mechanical metamaterials, microfluidic netwo... » read more

Research Bits: Apr. 6
By Jesse Allen - 06 Apr, 2026 - Comments: 0

Reservoir computing Researchers from Loughborough University designed a memristor reservoir computing chip that can process data that changes over time directly in hardware. “Inspired by the way the human brain forms very numerous and seemingly random neuronal connections between all its neurons, we created complex, random, physical connections in an artificial neural network by designing... » read more

Optical Next-Gen Reservoir Computing Framework (Sorbonne, CNRS, Tsinghua U. et al)
By Technical Paper Link - 05 Aug, 2025 - Comments: 0

A new technical paper titled "Optical next generation reservoir computing" was published by researchers at Sorbonne Université, CNRS, Tsinghua University, University of Hong Kong, and University of Tokyo. Excerpt "Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich comp... » read more

Research Bits: Feb. 27
By Jesse Allen - 27 Feb, 2024 - Comments: 0

Phonon-magnon reservoir Researchers from TU Dortmund, Loughborough University, V. E. Lashkaryov Institute of Semiconductor Physics, and University of Nottingham were inspired by the human eye to propose an on-chip phonon-magnon reservoir for neuromorphic computing. In reservoir computing, input signals are mapped into a multidimensional space, which is not trained and only expedites recogni... » read more

Research Bits: Jan. 16
By Jesse Allen - 16 Jan, 2024 - Comments: 0

3D stacking of 2D materials Researchers from Penn State University demonstrated monolithic 3D integration with 2D transistors made from 2D semiconductors called transition metal dichalcogenides. The 2D materials have unique electronic and optical properties, including sensitivity to light, making them ideal for use as sensors. “One challenge is the process temperature ceiling of 450 degre... » read more

Reservoir Computing HW Based on a CMOS-Compatible FeFET
By Technical Paper Link - 07 Aug, 2022 - Comments: 0

A new technical paper titled "Reservoir computing on a silicon platform with a ferroelectric field-effect transistor" was published by researchers at the University of Tokyo. Researchers report "reservoir computing hardware based on a ferroelectric field-effect transistor (FeFET) consisting of silicon and ferroelectric hafnium zirconium oxide. The rich dynamics originating from the ferroelec... » read more

Experimental photonic quantum memristor
By Technical Paper Link - 27 Mar, 2022 - Comments: 0

Abstract "Memristive devices are a class of physical systems with history-dependent dynamics characterized by signature hysteresis loops in their input–output relations. In the past few decades, memristive devices have attracted enormous interest in electronics. This is because memristive dynamics is very pervasive in nanoscale devices, and has potentially groundbreaking applications ranging... » read more

Rotating neurons for all-analog implementation of cyclic reservoir computing
By Technical Paper Link - 23 Mar, 2022 - Comments: 0

Abstract "Hardware implementation in resource-efficient reservoir computing is of great interest for neuromorphic engineering. Recently, various devices have been explored to implement hardware-based reservoirs. However, most studies were mainly focused on the reservoir layer, whereas an end-to-end reservoir architecture has yet to be developed. Here, we propose a versatile method for implemen... » read more

Reservoir Computing based on Mutually Injected Phase Modulated Semiconductor Lasers as a Monolithic Integrated Hardware Accelerator
By Technical Paper Link - 08 Feb, 2022 - Comments: 0

Abstract: "In this paper we propose and numerically study a neuromorphic computing scheme that applies delay-based reservoir computing in a laser system consisting of two mutually coupled phase modulated lasers. The scheme can be monolithic integrated in a straightforward manner and alleviates the need for external optical injection, as the data can be directly applied on the on-chip phase m... » read more

Next Generation Reservoir Computing
By Technical Paper Link - 18 Jan, 2022 - Comments: 0

Abstract: "Reservoir computing is a best-in-class machine learning algorithm for processing information generated by dynamical systems using observed time-series data. Importantly, it requires very small training data sets, uses linear optimization, and thus requires minimal computing resources. However, the algorithm uses randomly sampled matrices to define the underlying recurrent neural n... » read more

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