.svg)
.svg)
Harnessing Edge Machine Learning, From Your Wrist to Your Factory
.svg)
Join Thomas Søderholm and Alessandro Grande in a webinar where they explain the current status of AI/ML, and how you can create and deploy your own intelligent edge devices. They will showcase various applications supported by Nordic Semiconductor and Edge Impulse, from wearables to the factory floor.In this webinar, you will learn how the Edge Impulse platform simplifies MLOps in real-world deployments. You will understand the advantages of edge processing with nRF5340 and the nRF91 Series from Nordic, and gain insight into what to consider when choosing wireless hardware and development tools for your edge use cases. The presenters will also be available to answer your questions at the end of the webinar.
Our Presence:
Speaking Sessions:
Thomas Soederholm
Thomas has a background in electronics with a Master’s degree in Computers and Electronics from the Norwegian University of Science and Technology in Trondheim, Norway. He has been with Nordic Semiconductor for 25 years and held positions as digital designer, regional sales manager and business development manager. He is currently leading the business development team at Nordic Semiconductor while also focusing on applications in the health and wellness market.
Alessandro Grande
Alessandro is a seasoned tech innovator and product leader with a passion for transforming cutting-edge ideas into practical solutions that genuinely enhance customers’ lives. His journey began as a developer evangelist and ecosystem manager at Arm, where he gathered invaluable insights into the IoT and edge AI space. Today, as the Head of Product at Edge Impulse, Alessandro is focused on a mission to revolutionize the edge machine learning development journey for engineering teams creating revolutionary products. At Edge Impulse, he thrives on collaborating with the team to meet customer demands and pushing the boundaries of what’s achievable in the world of edge AI. Alessandro’s commitment to innovation and connecting individuals led him to the role of chair at the 2023 TinyML EMEA Innovation Forum. Here, he established a dynamic platform for like-minded innovators in the tinyML field to unite and collectively drive the industry forward.
Join us on 25 April at 12:20-12:35 at the Embedded Park and Speakers Center for a presentation from Jim Bruges, Edge Impulse solutions engineer.
Jim Bruges is a seasoned Solutions Engineer at Edge Impulse, a company leading the charge in Edge AI innovation. Working with customers across industries including healthcare, industrial IOT, wearables and more, Jim has seen how Edge AI can be brought into today's products to provide valuable insights and meaning to the data these devices produce. By applying his previous experience in a wide range of engineering disciplines, including 4 years at Dyson, he advises clients about AI at the Edge and is an expert in Edge use-cases.
How to Train an Object Detection Model for Visual Inspection with Synthetic Data
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
GTC 2024: Jetson and Robotics Developer Day
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Swift Path to Edge AI: Revolutionizing Development Through Synthetic Data
Jenny Plunkett is a software engineer, technical speaker and content creator, working as a Senior Developer Relations Engineer at Edge Impulse. Since graduating from The University of Texas she has been working in the IoT space, from customer engineering and developer support for Arm Mbed to consulting engineering for Pelion IoT. Jenny is co-author of the O’Reilly book "AI at the Edge: Solving Real World Problems with Embedded Machine Learning".
Stay informed of our future events
Are you interested in connecting with the ML community? Subscribe to our newsletter to get updates on future events.
.svg)
