Results 61 to 70 of about 38,728 (269)

Drone-Based Sound Source Localization: A Systematic Literature Review

IEEE Access
Sound source localization (SSL) using microphones mounted on uncrewed aerial vehicles (UAVs) holds significant potential for tasks ranging from search-and-rescue and gunshot detection to industrial inspection and wildlife monitoring, particularly in ...
Sergio F. SERGIOCHEVTCHENKO, Belman Jahir Rodriguez, Rafaella Vale, Abishek Soti, Yeshwanth Bethi, Naqib Ibnul, Alexandre Marcireau, Mostafa Rahimi Azghadi, Andrew Wabnitz, Saeed Afshar   +9 more
doaj   +1 more source

Memory and information processing in neuromorphic systems

, 2015
A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Trap‐Assisted Transport and Neuromorphic Plasticity in Lead‐Free 2D Perovskites PEA2SnI4

Advanced Functional Materials, EarlyView.
An artificial retina built from lead‐free layered perovskite (PEA)2SnI4 converts light input into a persistent photocurrent and sums successive flashes over time. Micro/nanocrystals integrated on electrodes act as synapse‐like pixels that perform temporal integration directly in hardware. This in‐sensor preprocessing merges detection and computation on
Ofelia Durante, Valeria Demontis, Karl Jonas Riisnaes, Lam Hoi Tung, Sebastiano De Stefano, Daniela Marongiu, Adolfo Mazzotti, Aditya Bhardwaj, Francesco Mattana, Elisa Pili, Selene Matta, Federico Paolucci, Michele Saba, Andrea Mura, Giovanni Bongiovanni, Monica F Craciun, Saverio Russo, Antonio Di Bartolomeo   +17 more
wiley   +1 more source

Neuromorphic Computing

The Electrochemical Society Interface, 2023
Neuromorphic computing is a rapidly emerging field that seeks to emulate the computational principles of the brain using novel materials and devices. While traditional computing architectures, such as the von Neumann architecture, have experienced exponential improvements in computational power due to the continuous shrinkage of transistor technology ...
  +4 more sources

Hyperdimensional decoding of spiking neural networks

Neuromorphic Computing and Engineering
This work presents a novel spiking neural network (SNN) decoding method, combining SNNs with hyperdimensional computing (HDC). This decoding method is designed to achieve high accuracy, high noise robustness, low inference latency and low energy ...
Cedrick Kinavuidi, Luca Peres, Oliver Rhodes   +2 more
doaj   +1 more source

Transport characteristics and electrochemical properties of Y3+ doped Li4Ti5O12 as anode material

Cailiao gongcheng, 2022
Li4Ti5-xYxO12 (x=0, 0.05, 0.10, 0.15, 0.20) anode materials were synthesized by ball milling assisted solid-state method used Li2CO3 and anatase TiO2 as raw materials and yttrium nitrate (Y(NO3)3·6H2O) as yttrium source.
WU Bing, LIU Lei, WANG Xianzhi, XIAO Xiao, YANG Bao, ZHAO Jintao, GU Chengqian, MA Lei   +7 more
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Probabilistic metaplasticity for continual learning with memristors in spiking networks

Scientific Reports
Edge devices operating in dynamic environments critically need the ability to continually learn without catastrophic forgetting. The strict resource constraints in these devices pose a major challenge to achieve this, as continual learning entails memory
Fatima Tuz Zohora, Vedant Karia, Nicholas Soures, Dhireesha Kudithipudi   +3 more
doaj   +1 more source

Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware

, 2016
In recent years the field of neuromorphic low-power systems that consume orders of magnitude less power gained significant momentum. However, their wider use is still hindered by the lack of algorithms that can harness the strengths of such architectures.
Cassidy, Andrew, Diehl, Peter U, IEEE, Neftci, Emre, Pedroni, Bruno U, Zarrella, Guido   +5 more
core   +1 more source