|
|
|
|
|
Ambali Alade Odebowale, Andergachew Mekonnen Berhe, Haroldo T. Hattori and Andrey E. Miroshnichenko
The radiative thermal memristor boasts versatile applications, excelling particularly in contactless thermal sensing, where its unique properties make it ideal for scenarios requiring non-intrusive temperature measurements. Additionally, it holds promise...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qing Li, Decheng Zuo, Yi Feng and Dongxin Wen
Backpack computers require powerful, intelligent computing capabilities for field wearables while taking energy consumption into careful consideration. A recommended solution for this demand is the CPU + NPU-based SoC. In many wearable intelligence appli...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alexey Lastovetsky and Ravi Reddy Manumachu
The energy consumption of Information and Communications Technology (ICT) presents a new grand technological challenge. The two main approaches to tackle the challenge include the development of energy-efficient hardware and software. The development of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Afolabi Ige, Linhao Yang, Hang Yang, Jennifer Hasler and Cong Hao
The design of analog computing systems requires significant human resources and domain expertise due to the lack of automation tools to enable these highly energy-efficient, high-performance computing nodes. This work presents the first automated tool fl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sergey Shchanikov, Ilya Bordanov, Alexey Kucherik, Evgeny Gryaznov and Alexey Mikhaylov
Arrays of memristive devices coupled with photosensors can be used for capturing and processing visual information, thereby realizing the concept of ?in-sensor computing?. This is a promising concept associated with the development of compact and low-pow...
ver más
|
|
|
|
|
|
|
|
|
|
|
Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zichao Shen, Neil Howard and Jose Nunez-Yanez
This paper investigates the energy savings that near-subthreshold processors can obtain in edge AI applications and proposes strategies to improve them while maintaining the accuracy of the application. The selected processors deploy adaptive voltage sca...
ver más
|
|
|
|
|
|
|
|
|
|
|
Husam Suleiman
Cloud?fog computing is a large-scale service environment developed to deliver fast, scalable services to clients. The fog nodes of such environments are distributed in diverse places and operate independently by deciding on which data to process locally ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lucas Martin Wisniewski, Jean-Michel Bec, Guillaume Boguszewski and Abdoulaye Gamatié
The edge computing paradigm for Internet-of-Things brings computing closer to data sources, such as environmental sensors and cameras, using connected smart devices. Over the last few years, research in this area has been both interesting and timely. Typ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Md. Oli-Uz-Zaman, Saleh Ahmad Khan, Geng Yuan, Zhiheng Liao, Jingyan Fu, Caiwen Ding, Yanzhi Wang and Jinhui Wang
When deep neural network (DNN) is extensively utilized for edge AI (Artificial Intelligence), for example, the Internet of things (IoT) and autonomous vehicles, it makes CMOS (Complementary Metal Oxide Semiconductor)-based conventional computers suffer f...
ver más
|
|
|
|
|
|