AITIA: Embedded AI Techniques for Industrial Applications
Marcelo Brandalero, Mitko Veleski, Hector Gerardo Muñoz Hernandez, Muhammad Masroor Ali, Laurens Le Jeune, Toon Goedemé, Nele Mentens, Jurgen Vandendriessche, Lancelot Lhoest, Bruno da Silva, Abdellah Touhafi, Diana Göhringer, Michael Hübner · 2021
Motivated by an increasing interest from startups in embedded Artificial Intelligence (AI) and by their limited expertise, the AITIA Project targets the development of embedded AI techniques for industrial applications. This extended abstract presents the motivation and the solutions being developed towards four use cases: smart sensors, network intrusion detection, driver-assistance systems, and Industry 4.0.