Results 71 to 80 of about 17,204,563 (294)

Research on neuromorphic vision sensor and its applications

物联网学报, 2019
Neuromorphic vision sensor is a biologically inspired artificial neural system that mimics algorithmic behavior of biological vision systems,which has numerous advantages over standard vision sensors,such as high temporal resolution,low latency,low power,
Yongsheng SANG, Renhao LI, Yaoqian LI, Qiangwei WANG, Yao MAO   +4 more
doaj   +2 more sources

Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing

, 2020
Neuro-inspired computing architectures are one of the leading candidates to solve complex and large-scale associative learning problems for AI applications. The two key building blocks for neuromorphic computing are the neuron and the synapse, which form
Linares-Barranco, Bernabé, Avedillo de Juan, María José, Hardelin, Tanguy, Abernot, Madeleine, Moselund, Kirsten, Karachristou, Eirini, Corti, Elisabetta, Gonos, Théophile, Karg, Siegfried, Rousseau, Matthieu, Carapezzi, Stefania, Boudaden, Jamila, Todri-Sanial, Aida, Gil, Thierry, Azemard, Nadine, Serrano-Gotarredona, Teresa, Núñez, Juan, Salles, Jérémie, Nejim, Ahmed, Klumpp, Armin   +19 more
core   +5 more sources

Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

Journal of Advanced Transportation, 2018
Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local
Guang Chen, Hu Cao, Muhammad Aafaque, Jieneng Chen, Canbo Ye, Florian Röhrbein, Jörg Conradt, Kai Chen, Zhenshan Bing, Xingbo Liu, Gereon Hinz, Walter Stechele, Alois Knoll   +12 more
doaj   +1 more source

Monolithic Oxidation Enables Ultrathin Vertically Graded Tantalum Oxide for Low‐Voltage, Low‐Variability Memristive Switching

Advanced Functional Materials, EarlyView.
Monolithic UV‐ozone oxidation of Ta forms an ultrathin Ta2O5/TaOx bilayer enabling resistive switching with a vertical defect gradient. A stoichiometric surface layer over an oxygen‐deficient sublayer promotes localized filament nucleation near the top interface, enabling low‐voltage operation, and reduced cycle‐to‐cycle variability.
Seunghoon Yang, Dong Hyun Lee, Conan Weiland, Won‐Il Lee, Kim Kisslinger, Mingzhao Liu, Aswin kumar Anbalagan, Xiao Tong, Soumyajit Mandal, Nikhil Tiwale, Houk Jang, Chang‐Yong Nam   +11 more
wiley   +1 more source

Neuromorphic Electronic Systems for Reservoir Computing [PDF]

, 2021
This chapter provides a comprehensive survey of the researches and motivations for hardware implementation of reservoir computing (RC) on neuromorphic electronic systems. Due to its computational efficiency and the fact that training amounts to a simple linear regression, both spiking and non-spiking implementations of reservoir computing on ...
openaire   +3 more sources

Nanoscale Spatial Tuning of Superconductivity in Cuprate Thin Films via Direct Laser Writing

Advanced Functional Materials, EarlyView.
Maskless direct laser writing enables local control of oxygen stoichiometry in epitaxial YBCO thin films under ambient conditions. Sub‐micrometer grayscale patterns with tunable optical response and superconducting transport properties are achieved.
Irene Biancardi, Valerio Levati, Jordi Alcalà, Thomas Günkel, Nicolas Lejeune, Riccardo Girelli, Alejandro V. Silhanek, Valeria Russo, Narcís Mestres, Daniela Petti, Anna Palau, Edoardo Albisetti   +11 more
wiley   +1 more source

Design and implementation of a parsimonious neuromorphic PID for onboard altitude control for MAVs using neuromorphic processors

, 2022
The great promises of neuromorphic sensing and processing for robotics have led researchers and engineers to investigate novel models for robust and reliable control of autonomous robots (navigation, obstacle detection and avoidance, etc.), especially ...
Dupeyroux, J.J.G. (author), de Croon, G.C.H.E., de Croon, G.C.H.E. (author), Stroobants, S. (author), Dupeyroux, J.J.G., Stroobants, S.   +5 more
core   +2 more sources

Variational learning of quantum ground states on spiking neuromorphic hardware [PDF]

, 2022
Recent research has demonstrated the usefulness of neural networks as variational ansatz functions for quantum many-body states. However, high-dimensional sampling spaces and transient autocorrelations confront these approaches with a challenging ...
Gärttner, Martin, Baumbach, Andreas, Petrovici, Mihai A., Klassert, Robert, Petrovici, Mihai A   +4 more
core   +2 more sources

Emerging Neuromorphic Devices-Compatible SNN Hardware With Adaptive STDP and Validation Using Novel CMOS Neuron-Synapse Circuits

IEEE Access
This study proposes a neuromorphic hardware system based on a spiking neural network (SNN). The circuit-level adaptability of the system enables the integration of diverse emerging neuromorphic neuron and synaptic devices into a single system.
Min Jee Kim, Hyung-Min Lee, Yeonjoo Jeong, Joon Young Kwak   +3 more
doaj   +1 more source

Electromagnetic Interference Effects of Continuous Waves on Memristors: A Simulation Study

Sensors, 2022
As two-terminal passive fundamental circuit elements with memory characteristics, memristors are promising devices for applications such as neuromorphic systems, in-memory computing, and tunable RF/microwave circuits.
Guilei Ma, Menghua Man, Yongqiang Zhang, Shanghe Liu   +3 more
doaj   +1 more source