Results 131 to 140 of about 2,212,722 (355)
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network [PDF]
Physica A: Statistical Mechanics and its Applications, 2018 A. Sherstinsky
semanticscholar +1 more source
Advanced Functional Materials, EarlyView.A materials and device design concept that comprises a self‐assembled ultra‐thin epitaxial ion‐transporting layer, an amorphous oxide overcoat oxygen‐blocking layer, and a partial filament formed during an electroforming step is proposed for low‐current multilevel resistive switching devices.
Ming Xiao +17 more
wiley +1 more source
Deep Learning with Long Short-Term Memory for Time Series Prediction
, 2018 Time series prediction can be generalized as a process that extracts useful information from historical records and then determines future values. Learning long-range dependencies that are embedded in time series is often an obstacle for most algorithms,
Chen, Xianfu +5 more
core +1 more source
HST-LSTM: A Hierarchical Spatial-Temporal Long-Short Term Memory Network for Location Prediction
International Joint Conference on Artificial Intelligence, 2018 The widely use of positioning technology has made mining the movements of people feasible and plenty of trajectory data have been accumulated. How to efficiently leverage these data for location prediction has become an increasingly popular research ...
Dejiang Kong, Fei Wu
semanticscholar +1 more source
Electric Pulse Regulated MXene Based Nanozymes for Integrative Bioelectricity Immuno‐Cancer Therapy
Advanced Functional Materials, EarlyView.MXenzyme‐mediated bioelectricity cancer therapy (MXenzyme‐BECT) enhances cancer cell death through irreversible depolarization, ion channel disruption, ROS generation, and immunogenic cell death. Computational simulations reveal the electrical mechanisms by which MXenzyme acts on single cells and support to predict treatment parameters. Next‐generation
Sanghee Lee +6 more
wiley +1 more source
Learning to Detect Violent Videos using Convolutional Long Short-Term Memory
, 2017 Developing a technique for the automatic analysis of surveillance videos in order to identify the presence of violence is of broad interest. In this work, we propose a deep neural network for the purpose of recognizing violent videos.
Lanz, Oswald, Sudhakaran, Swathikiran
core +1 more source
Fast Weight Long Short-Term Memory
, 2018 Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent studies introduced fast weights only to regular RNNs, it is unknown whether fast weight memory is beneficial to gated RNNs.
Keller, T. Anderson +2 more
openaire +2 more sources
Tunable Tactile Synapses Enabled by Erasable Doping in Iongel‐Gated Nanotube Network Transistors
Advanced Functional Materials, EarlyView.Artificial tactile synaptic sensors are realized by an iongel‐gated single‐walled carbon nanotube (SWCNT) transistor with reversible doping characteristics. The device senses and memorizes tactile stimuli and exhibits gate bias‐dependent excitatory or inhibitory synaptic behavior.
Yan Huang +5 more
wiley +1 more source
Memory – what is it and how it works?
Zdravniški Vestnik, 2006 : Memory system presents a basis for many cognitive functions and at the same time it itself depends on their normal function. The purpose of the article is to show how it works as an array of interacting systems, each capable of registring information ...
Sanja Šešok
doaj
Self‐organized Criticality in Neuromorphic Nanowire Networks With Tunable and Local Dynamics
Advanced Functional Materials, EarlyView.Memristive nanowire networks (NWNs) are shown to be electrically tunable to a critical state where specific local dynamics evaluated by multiterminal characterization are exploited as feature selection in nonlinear transformation (NLT) tasks.
Fabio Michieletti +3 more
wiley +1 more source