Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung +7 more
wiley +1 more source
Deep Photonic Reservoir Computer for Speech Recognition
Speech recognition is a critical task in the field of artificial intelligence and has witnessed remarkable advancements thanks to large and complex neural networks, whose training process typically requires massive amounts of labeled data and computationally intensive operations.
Enrico Picco +2 more
openaire +5 more sources
Overview on the PHRESCO Project: PHotonic REServoir COmputing [PDF]
PHRESCO is an EU-H2020 funded project that was running for four years and will be ending in September 2019. PHRESCO focused on the development of efficient cognitive computing into a specific silicon-based technology by co-designing a new reservoir computing chip, including innovative electronic and photonic components that will enable major ...
openaire +2 more sources
Thin-film photonic crystal LEDs with enhanced directionality [PDF]
The use of photonic crystals for light extraction from light-emitting diodes (LEDs) gives the possibility to shape the farfield emission pattern. This is of particular interest for étendue-limited LED applications that require a more directional ...
Bergenek, Krister +8 more
core +1 more source
Nonlinear photonic dynamical systems for unconventional computing
Driven by the remarkable breakthroughs during the past decade, photonics neural networks have experienced a revival. Here, we provide a general overview of progress over the past decade, and sketch a roadmap of important future developments.
Laurent Larger (7467239) +5 more
core +1 more source
Experimental investigation of time series classification using a self-pulsing microring resonator network [PDF]
Photonic neuromorphic computing offers compelling advantages in power efficiency and parallel processing, but it often falls short in realizing scalable nonlinearity and long-term memory.
Alessandro Foradori +3 more
doaj +1 more source
Photon number-resolving quantum reservoir computing
Neuromorphic processors improve the efficiency of machine learning algorithms through the implementation of physical artificial neurons to perform computations. However, while efficient classical neuromorphic processors have been demonstrated in various forms, practical quantum neuromorphic platforms are still in the early stages of development.
Sam Nerenberg +3 more
openaire +2 more sources
Anisotropic Memristive Switching in NbOCl2 Enabled by Directional Oxygen Ion Migration
This study investigates strongly orientation‐dependent memristive switching in anisotropic NbOCl2, observed exclusively along the in‐plane c‐axis. The switching originates from direction‐selective oxygen‐ion migration and vacancy propagation that modulate the Pd/NbOCl2 Schottky barrier, enabling short‐term plasticity.
Caokun Wang +6 more
wiley +1 more source
Indirect transitions of a signal interacting with a moving refractive index front [PDF]
This research was supported by the German Research Foundation DFG (EI 391/12-2).The dynamic manipulation of light can be achieved by the interaction of a signal pulse propagating through or reflected from a refractive index front.
Munoz, Michel Castellanos +11 more
core +1 more source
Algorithms and technologies for photonic crystal modelling
In this thesis an investigation into the behaviour of light when passing through photonic crystals was carried out using numerical methods. Photonic crystals are expensive and difficult to fabricate so there is a requirement for computer simulations that
Hart, Elizabeth E, Hart, Elizabeth E.
core +1 more source

