Edge artificial intelligence (AI) combines AI, the Internet of Things (IoT) and edge computing technologies to provide real-time collection, processing, analytics, and decision-making.
The edge AI technologies and applications are constantly evolving and are driving future intelligent control and decision-making by moving AI capabilities closer to the physical world to enable the implementation of autonomous systems.
The development of edge AI is supported by advancements in edge processing devices with novel processing architectures, including CPUs, GPUs, TPUs, ASICs, FPGAs, system on chip (SoC), system on module (SoM), and neuromorphic accelerators.
The expansion of the micro-, deep-, and meta-edge continuum as part of the novel distributed AI-based computing architectures support the emerging intelligent autonomous systems and applications across various industrial sectors.
The European Conference on EDGE AI Technologies and Applications – EEAI brings together researchers, practitioners, and edge intelligence champions to convey and exemplify their perspectives on energy-efficient edge AI architectures, frameworks, and platforms.
The conference addressed the fundamentals, applications, algorithms, software, communication networks and systems of edge AI. It showcased the latest developments in these areas, providing a stage to discuss/identify future directions and challenges.
The European Conference on EDGE AI Technologies and Applications aimed to serve as an innovative platform for the exchange of ideas and concepts, and to be attended by several leading voices from research and industry supporting the integration of cutting-edge AI technologies for the advancement of future industrial applications.