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UID:17166-1633435200-1633442400@nmi.org.uk
SUMMARY:Building a Trusted AI-based System: Life at the Edge
DESCRIPTION:REGISTERBuilding a Trusted AI-based System: Life at the Edge\n\nIn 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. \nThe webinar should help attendees to better understand the overall system architecture and the capabilities of the edge devices. \nImage 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. \nOur Speakers\nFIND OUT MOREAurelien Desombre \nProgram Director \nTESSOLVE Embedded Systems \n×Aurelien Desombre Program Director\, TESSOLVE Embedded Systems \nMy name is Aurélien Desombre\, I’m located in French Brittany (not so far from UK 😊). I started my career as an Electronic Engineer in Thales for real time video systems. \nI’m 20+ Years experimented in Embedded electronic and currently responsible of Program coordination for our European customers and Digitization strategy for TESSOLVE around 3 pillars: EdgeAI\, IoT platforms and Cloud. \nI like and enjoy innovation\, technology and challenging projects\, building products from specification to manufacturing\, supply chain and lifetime management. AI and EdgeAI are my new hobbies which will transform our world in coming decades. \nTalk Title: – AI and sensors\, how to build a smart system\, opening new possibilitiesCloseFIND OUT MOREMichal Gabrielczyk \nHead of Edge AI \nCambridge Consultants \n×Michal Gabrielczyk\nHead of Edge AI\, Cambridge Consultants \nMichal is Head of Edge AI at Cambridge Consultants\, working closely with the consultancy’s AI\, semiconductor\, sensing and connectivity experts to realise customers product and service ambitions. He works closely with commercial and engineering experts to bridge between business ambitions and the practicalities of technology and engineering. \nMichal has a long track record in strategy and technology advisory roles\, including at product developers Cambridge Consultants and Telecoms\, Media and Technology specialist consultancy Analysys Mason. Michal is also a Board Member of Cambridge Wireless – the leading international community for companies involved in the research\, development and application of wireless and mobile\, internet\, semiconductor and software technologies. \nHe has been fortunate enough to be able to work on strategy development with ambitious startups\, blue chips and brand names across six continents\, and connectivity technologies have been a continuous thread throughout. \nTalk Title: Intelligence at the edge: Why the future of AI is on-device \nAbstract: \n“Semiconductor and algorithmic innovation are expanding the possibilities for deploying AI in everyday devices. This challenges the recent trend towards concentrating AI workloads in the cloud and opens up new experiences\, use cases and business models. In this talk Michal will outline why we would want to add intelligence at the edge and the factors enabling it.” \n  \nClose\nAgenda\nExplainable AI (XAI) for Trusted Systems \nPete Lockhart CTO and Mike Hook Principal Project Consultants\,  Roke Manor \nIntelligence at the edge: Why the future of AI is on-device\nMichal Gabrielczyk\, Head of Edge AI\, Cambridge Consultants \nDeveloping IP Platforms for Deep Neural Networks\nDavid Harold\, CMO IMG\, Imagination Technologies \nAutomotive Applications at the Edge \nCurt Hillier\, Technical Director\, NXP \nAI and sensors\, how to build a smart system\, opening new possibilities\nAurelien Desombre\, Programme Director\, Tessolve \n\nNMI Electronic Systems Design Group Presents a Series of 3 Webinars: Building a Trusted AI-based System \nArtificial 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… \nRead More×Building a Trusted AI-based System\nArtificial 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. \nThis series of 3 free-to-attend webinars will outline those challenges and how they can be demonstrably overcome or mitigated. \nThe 3 foundation webinars will first consider how AI-based systems are constructed from building blocks (e.g. AI-enabled sensors and actuators)\, the infrastructure that connects them\, and how this is integrated into an intelligent system. Subject area experts will first outline the specific safety and security challenges (e.g. sufficiency of edge-AI training sets\, wider security attack surface)\, and then consider potential solutions and their verification. Ultimately\, the objective is to demonstrate that such systems can be reliably used in the target application. \nAttendees\, whether from a hardware\, software or system background\, will be able to learn from subject matter experts to better understand the challenges and solutions in building AI-based products and systems that are demonstrably reliable\, safe and secure. Sponsors will have the opportunity to showcase their solutions for overcoming these challenges.
URL:https://nmi.org.uk/event/building-a-trusted-ai-based-system-life-at-the-edge/
LOCATION:Webinar
CATEGORIES:FREE for All
ATTACH;FMTTYPE=image/jpeg:https://nmi.org.uk/wp-content/uploads/2021/05/nmi-es1a.jpg
ORGANIZER;CN="NMI":MAILTO:info@nmi.org.uk
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