Results 51 to 60 of about 10,442 (302)
An FPGA-based neuromorphic vision system accelerator [PDF]
Rapid reaction to a specific event is a critical feature for an embedded computer vision system to ensure reliable and secure interaction with the environment in resource-limited real-time applications.
Bhowmick, Deepayan +6 more
core +1 more source
Two-Dimensional Oscillatory Neural Networks for Energy Efficient Neuromorphic Computing
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 +19 more
core +3 more sources
Neuromorphic Computing for Smart Agriculture
Neuromorphic computing has received more and more attention recently since it can process information and interact with the world like the human brain.
Shize Lu, Xinqing Xiao
doaj +1 more source
Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts
Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-rich ...
Anup Vanarse +3 more
doaj +1 more source
Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee +16 more
wiley +1 more source
Digit Classification using Biologically Plausible Neuromorphic Vision [PDF]
Despite tremendous advancement in computer vision, especially with deep learning, understanding scenes in the wild remains challenging. Even modern image classification models often misclassify when presented with out-of-distribution inputs despite ...
Rainey, James +4 more
core +1 more source
System-level integration in neuromorphic co-processors
In this chapter we present results on system-level integration of memristive devices with neuromorphic circuits and systems. Specifically we present an overview of the current state-of-the-art hybrid memristive-complementary metal–oxide–semiconductor ...
Linares-Barranco, Bernabé +2 more
core +1 more source
Neuromorphic Electronic Systems for Reservoir Computing [PDF]
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 +2 more sources
Moiré band engineering in graphene/hexagonal boron nitride–based superlattices unlocks van Hove singularities (VHSs) for terahertz (THz) optoelectronics. Tuning the Fermi level near these singularities, associated with secondary neutrality points (SNPs), enhances the photothermoelectric response.
Leonid Elesin +16 more
wiley +1 more source
Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip
By mimicking the neurons and synapses of the human brain and employing spiking neural networks on neuromorphic chips, neuromorphic computing offers a promising energy-efficient machine intelligence.
Man Yao +17 more
doaj +1 more source

