Results 91 to 100 of about 717,844 (304)

Architectural Tuning of Bouligand Electrospun Laminates Enables Coupled Mechanical Robustness and Electromechanical Sensing

open access: yesAdvanced Functional Materials, EarlyView.
Bioinspired Bouligand architectures are translated into biodegradable polymer laminates with integrated sensing, revealing how structural design governs multifunctional performance. A 20° interlayer rotation optimizes strength, flexibility, and electromechanical response, while embedded nanotube networks enable real‐time damage detection and wearable ...
Piotr K. Szewczyk   +4 more
wiley   +1 more source

Fully Quantized Matrix Arithmetic-Only BERT Model and Its FPGA-Based Accelerator

open access: yesIEEE Access
In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. Conventionally, the BERT model relies on floating point arithmetic for inference and requires not only linear ...
Hiroshi Fuketa   +3 more
doaj   +1 more source

XPATH HARDWARE ACCELERATOR

open access: yes, 2007
KUTTAPPA, SANCHITH. XPath Hardware Accelerator.
Dr. Yannis Viniotis, Sanchith Kuttappa
core  

A flexible protocol processing accelerator for networked sensors

open access: yes, 2006
In this paper, we present a hardware accelerator for receiving the custom protocol data in networked sensors. The accelerator is designed with the novel architecture we proposed, which gives it the flexibility to be composed into application specific ...
Xin Xiaoning   +6 more
core   +1 more source

Material Coupling in Hybrid Neuromorphic Devices: From Fundamentals to System‐Level Applications

open access: yesAdvanced Functional Materials, EarlyView.
Hybrid neuromorphic devices utilize heterointerfaces between emerging semiconductors, where charge transfer and trapping, ion or defect modulation, and photogating are translated into synaptic functions. This paper discusses coupling strategies that tailor interfacial electronic and ionic properties in organic semiconductors, metal oxides, two ...
Minsu So   +5 more
wiley   +1 more source

Lowering Dynamic Power of a Stream-based CNN Hardware Accelerator

open access: yes, 2019
Custom hardware accelerators of Convolutional Neural Networks (CNN) provide a promising solution to meet real-time constraints for a wide range of applications on low-cost embedded devices.
Duvindu Piyasena   +9 more
core   +1 more source

Biodegradable Conductors for Implantable and Wearable Transient Bioelectronics

open access: yesAdvanced Functional Materials, EarlyView.
Biodegradable conductors are essential building blocks for transient bioelectronics, enabling temporary sensing, stimulation, and energy transfer while eliminating the need for device retrieval. This review summarizes biodegradable metals, conducting polymers, ionic conductors, and conductive composites, highlighting degradation mechanisms, material ...
Yicheng Zhu, Yijun Liu, Naoji Matsuhisa
wiley   +1 more source

Hardware accelerator implementation of colour correction algorithm [PDF]

open access: yes, 2020
Colour correction algorithm plays an essential part in processing the colour information. Researches on various statistical methods in colour correction algorithms keep growing in order to obtain higher accuracy and reproducibility for the intended usage.
Loh, Shu Ting
core  

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi   +11 more
wiley   +1 more source

Gen-acceleration: Pioneering work for hardware accelerator generation using large language models [PDF]

open access: yes, 2023
Optimizing computational power is critical in the age of data-intensive applications and Artificial Intelligence (AI)/Machine Learning (ML). While facing challenging bottlenecks, conventional Von-Neumann architecture with implementing such huge tasks ...
Vungarala, Durga Lakshmi Venkata Deepak
core   +1 more source

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