(Image credit: Avnet)
AI at the Edge is described as the deployment of artificial intelligence (AI) models and computations directly onto edge devices rather than relying solely on centralized systems or cloud servers. This approach offers several benefits for AI processing, including increased efficiency, lower latencies and faster response times.
Edge AI is being utilized by nearly every industry looking to take advantage of the benefits it provides via decentralized processing, offline functionality, improved security and cost efficiency. Autonomous vehicles, manufacturing, healthcare, retail and smart homes are just a few of the applications that utilize AI at the Edge. While some engineers, developers, and makers have knowledge of or have taken advantage of Edge AI, some may not be up to speed on the latest developments and technologies that surround the ever-evolving platform.
To that end, Avnet has hosted an AI at the Edge Webinar Series that's designed for developers, IoT enthusiasts, students, and engineers and provides practical insights into edge AI use cases, hardware, and cloud integrations. The series brings together experts from leading hardware and software companies, including STMicroelectronics, Infineon, Renesas, and more, to provide insights into the technologies, tools, and techniques that are driving next-gen AI-powered devices.
Each webinar covers key hardware platforms, demos that detail how to build viable AI at the Edge solutions that can be leveraged across industries, step-by-step walkthroughs, real-world applications and more. The webinars are free for anyone looking to gain insight into the latest technologies and developments or those just looking to understand what AI at the Edge is all about. So, whether you're interested in knowing about camera-based AI, microcontroller-driven edge analytics, or application processor use cases, dive right in; there's plenty to see and learn with Avnet's AI at the Edge Webinar Series hosted by the element 14 Community.
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