Embedded artificial intelligence : devices, embedded systems, and industrial applications /

"Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information...

Full description

Bibliographic Details
Corporate Author: Knovel (Firm)
Other Authors: Vermesan, Ovidiu (Editor), Nava, Mario Diaz (Editor), Debaillie, Björn (Editor)
Format: eBook
Language:English
Published: Gistrup, Denmark : River Publishers, [2023]
Series:River Publishers series in communications and networking.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Recent technological developments in sensors, edge computing, connectivity, and artificial intelligence (AI) technologies have accelerated the integration of data analysis based on embedded AI capabilities into resource-constrained, energy-efficient hardware devices for processing information at the network edge.Embedded AI combines embedded machine learning (ML) and deep learning (DL) based on neural networks (NN) architectures such as convolutional NN (CNN), or spiking neural network (SNN) and algorithms on edge devices and implements edge computing capabilities that enable data processing and analysis without optimised connectivity and integration, allowing users to access data from various sources.Embedded AI efficiently implements edge computing and AI processes on resource-constrained devices to mitigate downtime and service latency, and it successfully merges AI processes as a pivotal component in edge computing and embedded system devices. Embedded AI also enables users to reduce costs, communication, and processing time by assembling data and by supporting user requirements without the need for continuous interaction with physical locations.This book provides an overview of the latest research results and activities in industrial embedded AI technologies and applications, based on close cooperation between three large-scale ECSEL JU projects, AI4DI, ANDANTE, and TEMPO.The book's content targets researchers, designers, developers, academics, post-graduate students and practitioners seeking recent research on embedded AI. It combines the latest developments in embedded AI, addressing methodologies, tools, and techniques to offer insight into technological trends and their use across different industries."--Provided by publisher.
Physical Description:1 online resource (143 pages).
Bibliography:Includes bibliographical references and index.
ISBN:1523156376
9781523156375
1003394442
9781003394440
1000881911
9781000881912
1000882039
9781000882032
8770228205
9788770228206