Results 71 to 80 of about 717,844 (304)
Implementation and performance evaluation of NVDLA based deep learning accelerator hardware
This report shows the steps needed for one to implement a deep Learning hardware accelerator based on NVIDIA DL accelerator NVDLA architecture on high-performance emulation. The simulation platform chosen was Firesim.
Song, Tin Chen
core
A hybrid additive manufacturing platform integrates direct droplet writing of metallic composite with VAT photopolymerization to fabricate architected soft magnetic composites. This approach enables microscale patterning of high‐viscosity materials for programmable actuators, adaptive fluidic devices, and switchable adhesives, offering tunable ...
Yeowon Yoon +4 more
wiley +1 more source
Resistive Neural Hardware Accelerators
Deep Neural Networks (DNNs), as a subset of Machine Learning (ML) techniques, entail that real-world data can be learned and that decisions can be made in real-time. However, their wide adoption is hindered by a number of software and hardware limitations. The existing general-purpose hardware platforms used to accelerate DNNs are facing new challenges
Kamilya Smagulova +4 more
openaire +4 more sources
A hardware accelerator for ORB-SLAM [PDF]
Simultaneous Localization And Mapping (SLAM) is a key component of self-driving cars. We study ORB-SLAM, a SLAM state-of-the-art solution, and develop a hardware accelerator for a critical part of it: ORB feature extraction.
Taranco, Raúl
core
An Adaptive Inhibitory WSe2 Transistor for Retinomorphic In‐Sensor Image Processing
Conventional retinomorphic devices typically require deliberate gate‐bias tuning for each illumination condition. In this paper, we demonstrate an adaptive inhibitory WSe2 transistor that uses photo‐induced regime shift between the subthreshold and accumulation modes to achieve decision‐free, intensity‐adaptive image processing within a single pixel ...
Juhwan Baek +12 more
wiley +1 more source
Genetically Programmed Shape‐Morphing of Engineered Living Materials
Here, bacterial and mammalian engineered living materials (ELMs) are presented, in which living cells direct genetically programmed and enzymatically mediated shape‐morphing. The resulting deformation and shape‐recovery can be actuated in a genetically controlled manner by an ELM incorporating out‐of‐equilibrium counteracting biochemical reactions with
Jan Becker +7 more
wiley +1 more source
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski +3 more
wiley +1 more source
Survey of FPGA based recurrent neural network accelerator
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
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
Fiber‐Based Wearable Electronics as Adaptive Biointerfaces for Healthcare Applications
Fiber‐based wearable electronics have been extensively studied as adaptive healthcare biointerfaces. In this review, we classify and introduce fiber‐based systems according to biointerface design, conductive materials, transduction mechanisms, and healthcare applications, and provide a perspective on their translation toward reliable, continuous ...
Sangwoo Hong +5 more
wiley +1 more source

