Results 81 to 90 of about 7,314,717 (264)

Molecular Communication Channel as a Physical Reservoir Computer

open access: yesIEEE Transactions on Emerging Topics in Computing
Molecular Communication (MC) channels are characterized by significant memory and nonlinear dynamics arising from diffusion and receptor kinetics. While often viewed as impairments to reliable data transmission, this work introduces a paradigm shift by reconceptualizing these intrinsic physical properties as computational resources.
Mustafa Uzun   +2 more
openaire   +3 more sources

Exploring Physical Reservoir Computing using Random Boolean Networks. [PDF]

open access: yes, 2016
Reservoir computing (RC), a relatively new approach to machine learning, utilizes untrained recurrent neural networks as a reservoir of dynamics to pre-process some temporal task, making it separable with a linear readout layer.
Burkow, Aleksander Vognild
core   +1 more source

Highly-integrable analogue reservoir circuits based on a simple cycle architecture

open access: yesScientific Reports
Physical reservoir computing is a promising solution for accelerating artificial intelligence (AI) computations. Various physical systems that exhibit nonlinear and fading-memory properties have been proposed as physical reservoirs.
Yuki Abe   +8 more
doaj   +1 more source

Gradient‐Conductivity Architecture Enables Synchronous Enhancement of Sensitivity and Detection Range in Multifunctional All‐Paper Sensors

open access: yesAdvanced Functional Materials, EarlyView.
A gradient‐engineered all‐paper sensor is fabricated by integrating MXene and in situ grown AgNPs within hierarchical cellulose networks. The device breaks the sensitivity–detection range trade‐off through cascaded conductive pathways, enabling ultrahigh pressure sensitivity, humidity–pressure decoupled dual‐mode sensing, and outstanding EMI shielding,
Ao Li   +7 more
wiley   +1 more source

Parallel reservoir computing exploiting a single MEMS device via blue sideband excitation

open access: yesMicrosystems & Nanoengineering
Physical reservoir computing (PRC) offers a promising pathway for energy-efficient edge intelligence; however, existing micro-electromechanical systems (MEMS) implementations struggle to balance computational dimensionality with hardware complexity. Here,
Yueyang Li   +16 more
doaj   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

open access: yesAdvanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari   +4 more
wiley   +1 more source

Electrochemical Pathways for Nitrate Conversion to Ammonia: From Environmental Challenges to Ammonia Economy

open access: yesAdvanced Functional Materials, EarlyView.
This perspective presents recent advances in electrocatalytic nitrate reduction, focusing on reaction mechanisms, catalyst design, and electrolyzer configurations. Key challenges in selectivity, stability, and practical wastewater treatment are highlighted, while future directions for advancing sustainable ammonia synthesis and nitrate remediation are ...
Xintong Li   +9 more
wiley   +1 more source

Reservoir‐Driven Neuromorphic Computing Based on Composite Rare‐Earth/Transition Metal Oxide Memristor

open access: yesAdvanced Functional Materials, EarlyView.
A defect‐engineered Ag/Gd2O3:Nb2O5/Pt rare earth composite oxide memristor enables stable multilevel reservoir states through pulse driven conductance modulation. Experimentally measured device responses are incorporated into a device aware reservoir computing framework for CIFAR‐100 image classification, highlighting the potential of rare earth ...
Hammad Ghazanfar   +9 more
wiley   +1 more source

Optical next generation reservoir computing

open access: yesLight: Science & Applications
Artificial neural networks with internal dynamics exhibit remarkable capability in processing information. Reservoir computing (RC) is a canonical example that features rich computing expressivity and compatibility with physical implementations for ...
Hao Wang   +6 more
doaj   +1 more source

Microscale Patterning of Ultrahigh‐Viscosity Metallic‐Polymer Composites via Embedded Droplet Writing

open access: yesAdvanced Functional Materials, EarlyView.
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon   +4 more
wiley   +1 more source

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