In this first webinar we consider the devices, including sensors and actuators, that exist at the edge of the system. With more processing moving to the edge, then device selection is becoming more complex.
The webinar should help attendees to better understand the overall system architecture and the capabilities of the edge devices.
Image reproduced from the paper “Deep Learning With Edge Computing: A Review.” Proceedings of the IEEE 107.8 (2019): 1655-1674″ Chen, Jiasi, and Xukan Ran.
Explainable AI (XAI) for Trusted Systems
Pete Lockhart CTO and Mike Hook Principal Project Consultants, Roke Manor
Intelligence at the edge: Why the future of AI is on-device
Michal Gabrielczyk, Head of Edge AI, Cambridge Consultants
Developing IP Platforms for Deep Neural Networks
David Harold, CMO IMG, Imagination Technologies
Automotive Applications at the Edge
Curt Hillier, Technical Director, NXP
AI and sensors, how to build a smart system, opening new possibilities
Aurelien Desombre, Programme Director, Tessolve