Manufacturing AUTOMATION

IIC’s latest Journal of Innovation focuses on artificial intelligence

April 13, 2022
By Manufacturing AUTOMATION

The Industry IoT Consortium (IIC) recently published the latest edition of its Journal of Innovation (JoI). The journal is titled The Role of Artificial Intelligence in Industry.  This edition discusses the relevance of AI to Industrial IoT, including its applications and implementation challenges.

“We are excited about this edition of the Journal of Innovation on AI,” said Edy Liongosari, IIC Thought Leadership Task Group co-chair and chief research scientist at Accenture Labs. “AI technologies are a significant contributor to value creation in the fourth industrial revolution and this edition of the JoI covers important topics from application frameworks to design guidelines for manufacturing to security.”

The journal contains the following articles about the application of AI in their IoT-based applications, written by IIC member experts:

  • “Applicative Framework for End-to-End AOI Implementation,” by Valerio Di Eugenio, Gianluca Gamba, Chiara Mattei from Bosch covers a concrete implementation of an Automatic Optical Inspection (AOI) system and its application in real manufacturing processes.
  • “Design Considerations and Guidelines for implementing Federated Learning in Smart-manufacturing applications,” by Sourabh Bharti and Alan McGibney of Munster Technological University, Cork, Ireland, and Tristan O’Gorman from IBM describe a common framework to share sensitive data across organizations for smart manufacturing.
  • “Securing the ML Lifecycle,” by Dr. Carmen Kempka, WIBU-SYSTEMS AG, and Prof. Dr. Andreas Schaad, University of Offenburg, provides approaches and recommendations on how to secure machine learning models throughout product lifecycles.
  • “DDoS Attack Identification Utilizing Machine Learning in Circumstances Involving Hacked IoT Devices/Insider Assaults,” by Rani Yadav-Ranjan, Arthur Brisebois, Serene Banerjee from Ericsson illustrates the use of machine learning to identify and counter DDoS attacks involving wireless IoT devices.

Past and present JoI editions can be viewed and downloaded online.


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