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Integrated photonic neuromorphic computing: opportunities and challenges
Using photons in lieu of electrons to process information has been an exciting technological
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …
prospect for decades. Optical computing is gaining renewed enthusiasm, owing to the …
Role of delay-times in delay-based photonic reservoir computing
Delay-based reservoir computing has gained a lot of attention due to the relative simplicity
with which this concept can be implemented in hardware. However, unnecessary constraints …
with which this concept can be implemented in hardware. However, unnecessary constraints …
Physical reservoir computing—an introductory perspective
Understanding the fundamental relationships between physics and its information-
processing capability has been an active research topic for many years. Physical reservoir …
processing capability has been an active research topic for many years. Physical reservoir …
Roadmap for unconventional computing with nanotechnology
Abstract In the'Beyond Moore's Law'era, with increasing edge intelligence, domain-specific
computing embracing unconventional approaches will become increasingly prevalent. At …
computing embracing unconventional approaches will become increasingly prevalent. At …
[HTML][HTML] Novel frontier of photonics for data processing—Photonic accelerator
In the emerging Internet of things cyber-physical system-embedded society, big data
analytics needs huge computing capability with better energy efficiency. Coming to the end …
analytics needs huge computing capability with better energy efficiency. Coming to the end …
Physical deep learning with biologically inspired training method: gradient-free approach for physical hardware
Ever-growing demand for artificial intelligence has motivated research on unconventional
computation based on physical devices. While such computation devices mimic brain …
computation based on physical devices. While such computation devices mimic brain …
Pattern recognition with neuromorphic computing using magnetic field–induced dynamics of skyrmions
Nonlinear phenomena in physical systems can be used for brain-inspired computing with
low energy consumption. Response from the dynamics of a topological spin structure called …
low energy consumption. Response from the dynamics of a topological spin structure called …
Parallel and deep reservoir computing using semiconductor lasers with optical feedback
H Hasegawa, K Kanno, A Uchida - Nanophotonics, 2023 - degruyter.com
Photonic reservoir computing has been intensively investigated to solve machine learning
tasks effectively. A simple learning procedure of output weights is used for reservoir …
tasks effectively. A simple learning procedure of output weights is used for reservoir …
Reservoir computing using multiple lasers with feedback on a photonic integrated circuit
C Sugano, K Kanno, A Uchida - IEEE Journal of Selected …, 2019 - ieeexplore.ieee.org
We propose a scheme for reservoir computing using multiple semiconductor lasers with
optical feedback arranged in parallel on a photonic integrated circuit, and we investigate the …
optical feedback arranged in parallel on a photonic integrated circuit, and we investigate the …
Reducing reservoir computer hyperparameter dependence by external timescale tailoring
Task specific hyperparameter tuning in reservoir computing is an open issue, and is of
particular relevance for hardware implemented reservoirs. We investigate the influence of …
particular relevance for hardware implemented reservoirs. We investigate the influence of …