LOGiN PANeL

«    February 2024    »
MoTuWeThFrSaSu
 1234
567891011
12131415161718
19202122232425
26272829 
PoLL





eBooks Tutorials Templates Plugins Scripts Applications GFX Collections SCRiPTMAFiA.ORG
Support SCRiPTMAFiA.ORG
Support SCRiPTMAFiA.ORG
LaST oN NULLeD.org
Parallel (2024) 1080p WEBRip 5 1-LAMA Parallel 2024 1080p WEBRip x264 AAC5 1-LAMA Follows the journey of Vanessa, a grief-stricken woman who mysteriously ...
PastToFutureReverbs Giant Acoustic Round–Back Fretless Bass KONTAKT WAV Free Download PastToFutureReverbs Giant Acoustic Round-Back Fretless Bass KONTAKT WAV | 1.15 GB A Bass sound that ...
Native Instruments Action Strings 2 v1.1.1 KONTAKT Free Download Native Instruments Action Strings 2 v1.1.1 KONTAKT | 28.9 GB With a huge library of orchestral samples ...
FileMenu Tools 8.4 Multilingual + Portable Free Download FileMenu Tools 8.4 Multilingual + Portable Free Links | 12.5/13.6 Mb FileMenu Tools is an application ...
W.A Production VocalShaper v1.0.0 Free Download W.A Production VocalShaper v1.0.0 | 12.8 Mb For any music producer, nailing vocal production is ...
Pulsar Modular P42 Climax MOD v5.6.6 Free Download Pulsar Modular P42 Climax MOD v5.6.6 | 15.1 Mb Pulsar Modular P42 Climax is an innovative multifaceted ...

RSS
RSS

FRiENDS
Nulled.org Software 8TM URL Shortener




Industrial Artificial Intelligence Technologies and Applications

Category: eBooks


Industrial Artificial Intelligence Technologies and Applications
Industrial Artificial Intelligence Technologies and Applications by Franz Wotawa
English | PDF | 2022 | 244 Pages | ISBN : N/A | 26 MB
The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machine interact with the real world, with other machines and humans during manufacturing processes. These advances allow industrial internet of things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators data.


The advances in industrial edge artificial intelligence (AI) are transforming the way industrial equipment and machine interact with the real world, with other machines and humans during manufacturing processes. These advances allow industrial internet of things (IIoT) and edge devices to make decisions during the manufacturing processes using sensors and actuators data.
Digital transformation is reshaping the manufacturing industry, and industrial edge AI aims to combine the potential advantages of edge computing (low latency times, reduced bandwidth, distributed architecture, improved trustworthiness, etc.) with the benefits of AI (intelligent processing, predictive solutions, classification, reasoning, etc.).
The industrial environments allow the deployment of highly distributed intelligent industrial applications in remote sites that require reliable connectivity over wireless and cellular connections. Intelligent connectivity combines IIoT, wireless/cellular and AI technologies to support new autonomous industrial applications by enabling AI capabilities at the edge and allowing manufacturing companies to improve operational efficiency and reduce risks and costs for industrial applications.
There are several critical issues to consider when bringing AI to industrial IoT applications considering training AI models at the edge, the deployment of the AI-trained inferencing models on the target reliable edge hardware platforms and the benchmarking of the solution compared with other implementations.
The next-generation trustworthy industrial AI systems offer dependability by design, transparency, explainability, verifiability, and standardised industrial solutions to be implemented into various applications across different industrial sectors.
New AI techniques like embedded machine learning (ML) and deep learning (DL) capture edge data, employ AI models and deploy them to hardware target edge devices from ultra-low-power microcontrollers to embedded devices, gateways, and on-premises servers for industrial applications. These techniques reduce latency, increase scalability, reliability, and resilience, and optimise wireless connectivity, greatly expanding IIoT capabilities.
The book overviews the latest research results and activities in industrial artificial intelligence technologies and applications based on the innovative research, developments and ideas generated by the ECSEL JU AI4DI, ANDANTE and TEMPO projects.
The authors describe industrial AI's challenges, the approaches adopted, and the main industrial systems and applications to give the reader a good insight into the technical essence of the field. The articles provide insightful material on industrial AI technologies and applications.
The book is a valuable resource for researchers, post-graduate students, practitioners, and technology developers interested in gaining insight into the industrial edge AI, IIoT, embedded machine and deep learning, new technologies, and solutions to advance the intelligent processing at the edge.


[b]DOWNLOAD LINK


Links are Interchangeable - No Password - Single Extraction


   
   
   




We need your support!
Make a donation to help us stay online
        
Bitcoin (BTC)
bc1q08g9d22cxkawsjlf8etuek2pc9n2a3hs4cdrld
	
Bitcoin Cash (BCH)
qqvwexzhvgauxq2apgc4j0ewvcak6hh6lsnzmvtkem

Ethereum (ETH)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

Litecoin (LTC)
ltc1qt6g2trfv9tjs4qj68sqc4uf0ukvc9jpnsyt59u

USDT (ERC20)
0xb55513D2c91A6e3c497621644ec99e206CDaf239

USDT (TRC20)
TYdPNrz7v1P9riWBWZ317oBgJueheGjATm




Related news:

 

Information

 
  Users of GUESTS are not allowed to comment this publication.