Results 251 to 260 of about 21,605 (294)

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

Intraocular lens exchange for vision-dependent vestibular disorder after cataract surgery: A case report. [PDF]

Am J Ophthalmol Case Rep
Morii K, Akashi A.
europepmc   +1 more source

Wireless, Adaptable and Fully Implantable Battery‐powered Devices for Optical Stimulation of the Spinal Cord in Small Rodents

Advanced Science, EarlyView.
Current technologies for spinal cord optogenetic stimulation rely on external power sources and face reliability constraints in freely behaving animals. Here, a fully implantable, battery‐powered optoelectronic device is introduced, enabling operation in any selected environment with wireless recharging for months‐long stimulation.
Shahriar Shalileh, Adan Moallemi, Elham Mohseni Vadeghani, Samuel Tretjakov, Brianna Tsuyuki, Alexander Golab, Benjamin Rever, Wolfram Tetzlaff, Dena Shahriari   +8 more
wiley   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source

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Overview of Capsule Neural Networks

網際網路技術學刊, 2022
<p>As a vector transmission network structure, the capsule neural network has been one of the research hotspots in deep learning since it was proposed in 2017. In this paper, the latest research progress of capsule networks is analyzed and summarized. Firstly, we summarize the shortcomings of convolutional neural networks
Zengguo Sun Zengguo Sun, Guodong Zhao Zengguo Sun, Rafał Scherer Guodong Zhao, Wei Wei Rafał Scherer, Marcin Woźniak Wei Wei   +4 more
openaire   +1 more source

Steady Flow Approximation using Capsule Neural Networks

2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 2020
CFD (Computational Fluid Dynamics) solvers have been very popular for fluid flow simulation which has been proved to be imperative to solve modern problems relating to analysis, design, and optimization in the field of aerodynamics. Nevertheless, CFD simulations are usually memory intensive and computationally demanding, iterative time-consuming ...
Abhijit Uday Kurtakoti, Satyadhyan Chickerur   +1 more
openaire   +1 more source

Improving Training time in Capsule Neural Network

2021 3rd International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA), 2021
Chiadika Electrical & Computer Engr Mathematics department Electrical & Computer Engr Brunel University, Seoul National University Brunel University, London, United Kingded the Attention Routing CapsuleNet (AR CapsNet) as proposed by Jaewoong Choi et al. in Attention Routing between Capsules. The AR-CapsNet is an enhanced version of CapsNet which, uses
Onyeachonam Dominic-Mario Chiadika, Moazhen Li, Jaewoong Choi   +2 more
openaire   +1 more source

Personality Recognition in Conversations using Capsule Neural Networks

IEEE/WIC/ACM International Conference on Web Intelligence, 2019
Automatic identification of personality in conversations has many applications in natural language processing, such as community role identification (e.g., group leader) in online social media conversations as well as meeting transcripts. Conversation utterances provide a lot of information about the parties involved in a conversation such as cues to ...
Esteban Andrés Ríssola, Seyed Ali Bahrainian, Fabio Crestani   +2 more
openaire   +1 more source

Parallel Capsule Neural Networks for Sound Event Detection

2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2019
In this work, we propose a sound event detection system based on a parallel capsule neural network. The system takes advantage of the capability of capsule neural networks in the detection of overlapping objects. It further develops a parallel architecture and uses the kernel design of different shapes and sizes to effectively utilize the feature ...
Kai-Wen Liang, Yu-Hao Tseng, Pao-Chi Chang   +2 more
openaire   +1 more source