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Near-sensor and in-sensor computing
The number of nodes typically used in sensory networks is growing rapidly, leading to large
amounts of redundant data being exchanged between sensory terminals and computing …
amounts of redundant data being exchanged between sensory terminals and computing …
A review of emerging electromagnetic-acoustic sensing techniques for healthcare monitoring
Conventional electromagnetic (EM) sensing techniques such as radar and LiDAR are widely
used for remote sensing, vehicle applications, weather monitoring, and clinical monitoring …
used for remote sensing, vehicle applications, weather monitoring, and clinical monitoring …
Pre-sensor computing with compact multilayer optical neural network
Moving computation units closer to sensors is becoming a promising approach to
addressing bottlenecks in computing speed, power consumption, and data storage. Pre …
addressing bottlenecks in computing speed, power consumption, and data storage. Pre …
[HTML][HTML] Tutorial on memristor-based computing for smart edge applications
Smart computing on edge-devices has demonstrated huge potential for various application
sectors such as personalized healthcare and smart robotics. These devices aim at bringing …
sectors such as personalized healthcare and smart robotics. These devices aim at bringing …
AppCiP: Energy-efficient approximate convolution-in-pixel scheme for neural network acceleration
Nowadays, always-on intelligent and self-powered visual perception systems have gained
considerable attention and are widely used. However, capturing data and analyzing it via a …
considerable attention and are widely used. However, capturing data and analyzing it via a …
Hierarchical processing enabled by 2D ferroelectric semiconductor transistor for low-power and high-efficiency AI vision system
G Wu, L **-pong PWM pixel
TH Hsu, YK Chen, MY Chiu, GC Chen… - IEEE Journal of Solid …, 2021 - ieeexplore.ieee.org
This article presents a low-power, high-speed smart vision sensor for motion detection (MD)
that realizes in-pixel frame-difference (FD) operation using a global shutter mechanism. A …
that realizes in-pixel frame-difference (FD) operation using a global shutter mechanism. A …
Pipsim: A behavior-level modeling tool for cnn processing-in-pixel accelerators
Convolutional neural networks (CNNs) have been gaining popularity in recent years, and
researchers have designed specialized architectures to speed up the inference process …
researchers have designed specialized architectures to speed up the inference process …