RunTime: 43 minutes
In the evolving landscape of Artificial Intelligence, the focus is shifting from the realm of cloud computing to the dynamic frontier of edge computing. This webinar explores the paradigm shift that positions edge computing as the future powerhouse, challenging the conventional dominance of cloud-centric models promoted by major tech giants.

Although there has been hype promoting the idea that the cloud was the only solution for scalability and the availability of unlimited computing capacity, the evolution of systems on chips, heterogeneous architectures such as ultra-low power accelerators and the advent of new software frameworks such as TinyML have paved the way for a new paradigm of Ubiquitous Computing, characterized by the decentralization and distribution of resources.

The webinar delves into the unique attributes that make edge computing the linchpin for the future of AI. This process involves decentralized computation, allowing data to be processed closer to the source, reducing latency, and improving real-time decision making. The result is a paradigm that not only meets the growing demand for speed and efficiency, but also establishes a solid foundation for addressing critical security and privacy concerns.

During the webinar we will delve into how Edge AI works and SECO's approach to this challenge, addressing topics such as Approximate Learning, data pipelines on architectures with computational and energy constraints, and standardized hardware and software architectures for edge computing, taking an approach without technological lock-in.

Join us as we explore the redefined boundaries of Edge AI, where computing is not just everything but is also everywhere, reshaping the narrative of technological innovation.

Speaker: Gianluca Venere, Chief Innovation Officer, SECO