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Building a Trusted AI-based System: Linking the Parts

November 8 @ 12:00 pm - 2:00 pm

The Communications Infrastructure

In this second webinar we focus on the communications infrastructure needed when building a trusted AI-based system. This includes the need for secure, robust communications which meet performance requirements for speed and latency both at the edge and with the cloud.

The webinar should help attendees to better understand their communications infrastructure requirements.

Speaker Profile

Alex Mavromatis

Alex received a B.S. degree in computer science, ATEI, Thessaloniki, Greece, in 2016. He received his PhD degree in 5G-Internet of Things (IoT) from the University of Bristol, Bristol, U.K. Currently working as a Solutions Architect for the Smart Internet Lab University of Bristol. He has experience with IoT and 5G projects such as smart cities and 5G testbed deployment and experimentation, funded by the EU and U.K. government. His current research interests include industrial IoT deployments, customized Industry 4.0 architectures, smart home architectures, software-defined networking/NFV, cloud/edge networking platforms, data management, and production quality assurance of machine learning models.

Building the Future Shipping Industry Network and Applications
The shipping industry is a huge and complex industry, which is constantly being affected by global trends, materials and fuels. Shipping from land to sea to land is a costly business that suffers from multiple losses both financially and in time. As the value of data is becoming more clear by the day, the future networks will have to adapt as well to meet the needs of monitoring and smart decision making to streamline the shipping lifecycle. The 5GLogistics project is a UK innovation that develops technology and demonstrates how the networks will accommodate such volatile requirements of the future shipping industry.

 

 

NMI Electronic Systems Design Group Presents a Series of 3 Webinars: Building a Trusted AI-based System

Artificial Intelligence (AI) based systems are becoming prevalent in a wide range of industries, distinguishing new innovative products with inference capabilities. However, their introduction brings additional challenges regarding their reliability, safety and security...

 

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