AITIA: Embedded AI Techniques for Industrial Applications ■
Marcelo Brandalero, Marcelo Brandalero, Marcelo Brandalero, Mitko Veleski, Mitko Veleski, Mitko Veleski, Hector Gerardo Muñoz Hernandez, Hector Gerardo Muñoz Hernandez, Hector Gerardo Muñoz Hernandez, Muhammad Ali, Muhammad Ali, Muhammad Ali, Laurens Le Jeune, Laurens Le Jeune, Laurens Le Jeune, Toon Goedeme, Toon Goedeme, Toon Goedeme, Nele Mentens, Nele Mentens, Nele Mentens, Jurgen Vandendriessche, Jurgen Vandendriessche, Jurgen Vandendriessche, Lancelot Charles Lhoest, Lancelot Charles Lhoest, Lancelot Charles Lhoest,
Bruno da Silva Gomes,
Bruno da Silva Gomes,
Bruno da Silva Gomes,
Abdellah Touhafi,
Abdellah Touhafi,
Abdellah Touhafi, Diana Goehringer, Diana Goehringer, Diana Goehringer, Michael Hubner, Michael Hubner, Michael Hubner
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.