Results 71 to 80 of about 77,762 (283)
Advanced Functional Materials, EarlyView.Automat optical inspection (AOI) techniques in semiconductor fabrication can be leveraged in battery manufacturing, enabling scalable detection and analysis of electrode‐ and cell‐level imperfections through AI‐driven analytics and a digital‐twin framework.
Jianyu Li, Ertao Hu, Wei Wei, Feifei Shi
wiley +1 more source
Medha: Microcoded Hardware Accelerator for computing on Encrypted Data
Transactions on Cryptographic Hardware and Embedded Systems, 2022 Homomorphic encryption enables computation on encrypted data, and hence it has a great potential in privacy-preserving outsourcing of computations to the cloud.
Ahmet Can Mert +6 more
doaj +1 more source
Advanced Functional Materials, EarlyView.Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin +9 more
wiley +1 more source
Large-Scale Optical Neural Networks based on Photoelectric Multiplication
, 2019 Recent success in deep neural networks has generated strong interest in hardware accelerators to improve speed and energy consumption. This paper presents a new type of photonic accelerator based on coherent detection that is scalable to large ($N ...
Bernstein, Liane +4 more
core +1 more source
Hardware Accelerated Graph Analytics
, 2022 Hardware Accelerated Graph ...
Deepak, Kumar, Shaler, Michael
openaire +1 more source
Advanced Functional Materials, EarlyView.This study demonstrates an artificial polymodal nociceptor whose firing threshold is actively modulated by temperature. A volatile TiN/TiOx/ZnO/TiOx/ITO memristor shows interfacial ion–driven resistive switching and membrane‐potential‐like dynamics, enabling temperature‐dependent nociceptive behavior.
Chanmin Hwang +3 more
wiley +1 more source
Survey of FPGA based recurrent neural network accelerator
网络与信息安全学报, 2019 Recurrent neural network(RNN) has been used wildly used in machine learning field in recent years,especially in dealing with sequential learning tasks compared with other neural network like CNN.However,RNN and its variants,such as LSTM,GRU and other ...
Chen GAO, Fan ZHANG
doaj +3 more sources
An Accelerator Design Using a MTCA Decomposition Algorithm for CNNs
Sensors, 2020 Due to the high throughput and high computing capability of convolutional neural networks (CNNs), researchers are paying increasing attention to the design of CNNs hardware accelerator architecture. Accordingly, in this paper, we propose a block parallel
Yunping Zhao +2 more
doaj +1 more source
ReBNet: Residual Binarized Neural Network
, 2018 This paper proposes ReBNet, an end-to-end framework for training reconfigurable binary neural networks on software and developing efficient accelerators for execution on FPGA.
Ghasemzadeh, Mohammad +2 more
core +1 more source
In Situ 3D Bioprinting: Impact of Cross‐Linking on the Adhesive Properties of Hydrogels
Advanced Functional Materials, EarlyView.In situ 3D bioprinting enables the direct deposition of cell‐laden, adhesive biomaterials for on‐site tissue regeneration. This review provides a comprehensive overview of how cross‐linking influences the bioadhesive properties of hydrogels used in 3D bioprinting, highlighting cross‐linking triggers, bioadhesion mechanisms, polymer interpenetration ...
Odile Romero Fernandez +4 more
wiley +1 more source