Unleashing Edge ML with PSoC™ 6 AI Evaluation Kit and ML Model Development Platform
Discover how the PSoC™ 6 AI Kit by Infineon empowers developers to integrate artificial intelligence seamlessly into low-powered devices, enabling real-time decision-making and reducing reliance on cloud computing in environments with limited connectivity. Join our webinar to explore Edge AI solutions that streamline the machine learning process from data collection to deployment, revolutionizing intelligent edge applications across industries.
This webinar was originally held on September 5, 2024.
The advent of machine learning (ML) has revolutionized how we approach problem-solving in various sectors, from industrial automation to personal wearable devices. However, integrating ML into embedded systems can be challenging due to resource constraints and the complexity of ML algorithms.
The PSoC™ 6 AI Kit by Infineon is designed to streamline the ML process on edge devices. By providing a platform for AI model deployment on low-powered devices, the PSoC™ 6 AI Kit enables developers to create intelligent and efficient applications at the edge. This not only reduces the dependency on cloud computing but also opens up possibilities for real-time processing and decision-making in environments where connectivity may be limited or unreliable.
Join us for this webinar as we explore the integration of artificial intelligence with the powerful PSoC 6 microcontroller series, facilitating efficient, intelligent, and connected devices. Whether you are a seasoned developer or new to the world of AI and embedded systems, this webinar will equip you with the knowledge and tools you need to innovate and excel in designing intelligent edge solutions.
What you will learn:
The key benefits of Edge AI and the real-time, power-efficient requirements driving AI processing at the edge.
Introduction to two key Edge AI offerings from Infineon – the PSoC™ 6 AI Evaluation Kit and Imagimob Studio, the Edge AI development platform.
How these tools simplify the end-to-end Machine Learning process – from data collection, to model training, to deployment and commercialization
Speakers
Sarah Hemmer Software Product Manager Infineon Technologies
Sarah holds a Masters degree in behavioral economics and her studies brought her from Germany to the UK. Combined with a background in data analytics and psychology, as well as having spent the last 6 years in the semiconductor industry, Sarah is passionate about new ideas at the intersection of technology and humanity.
In her role as a software product manager, Sarah is responsible for the PSoC™ 6 AI kit, as well as positioning and taking Infineon's Edge AI solutions to market together with a cross functional team.
Sam Al-Attiyah Head of Customer Success Infineon Technologies/Imagimob
Sam has been working at Imagimob for more than 7 years, and been part of Infineon since Imagimob was acquired in May 2023. He has a Master’s in Electrical Engineering, and did his studies both in his native country Australia and in his adopted homeland of Sweden. He has had years of experience working with end-to-end machine learning applications on the edge, and has led multiple projects to production.
Sam is now heading the Customer Success team at Imagimob, which focuses on ensuring customers get to production with their Machine Learning applications. Sam is also the product manager for Imagimob Ready Models, which are fully trained AI models ready for deployment and commercialization.
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