As a follow-up of the first edition of the Workshop on Deep Learning for IoT (DL4IoT), we are now organising the 2nd edition of the workshop, which will take place with HiPEAC 2023, on January 17th, in Toulouse (France).
The programme for this edition is already available. Have a look at it below or on this link to the session programme.
Session 1 (14:00 – 15:30)
14:00-14:20 – TERMINET Project presentation: TERMINET AI advances and results, Georgios Stavropoulos (CERTH/ITI)
14:20-14:40 – iNGENIOUS Project presentation: Role of AI/ML in the supply chain: spotlight on iNGENIOUS Use Cases, Nuria Molner (Universitat Politècnica de València)
14:40-15:00 – Assist-IoT Project presentation: Frugal AI for the IoT-Edge-Cloud continuum, Ignacio Lacalle Úbeda (Universitat Politècnica de València)
15:00-15:20 – VEDLIOT Project presentation: VEDLIOT – Accelerated AIoT: Jens Hagemeyer (Bielefeld University)
Coffee break (15:30 – 16:00)
Session 2 (16:00 – 17:30)
16:00-16:15 – DUNE RCO Project presentation: Deep learning for multi-technology fusion in industrial indoor asset localization and tracking, Xavier Vilajosana (Universitat Oberta de Catalunya)
16:15-16:30 – BEAM_IDL Project presentation: Machine Learning algorithms for visible and infrared (IR) laser welding process image recognition, Beñat Arejita and Juan Isaza (Electronic and Opto-Mechanic Engineering EXOM S.L.)
16:30-16:45 – AI-RIDE Project presentation: AI-driven framework for Practical Driving Courses and Driving Licence Exams: the AI-RIDE Project, Francesco Paolucci (CNIT) [presented by Jens Hagemeyer (Bielefeld University)]
16:45-17:00 – AccBD Project presentation: Accelerated feature selection workflow for medical data using heterogeneous hardware, Sigrun May (Ostfalia University of Applied Sciences Braunschweig/Wolfenbüttel)
17:00-17:15 – Edge4iwelli Project presentation: Edge computing and intelligent IoT to enhance security and usability of home care services for independent living: the iwelli technology for intelligent unobtrusive everyday health monitoring, Homer Papadopoulos (Syndesis Ltd , NCSR Demokritos)
17:15-17:30 – Power Edge RL Project presentation: Hardware-accelerated reinforcement learning for control of electric power systems, Marc Rothmann (Osnabrück University) [in cooperation with Oliver Wallscheid (University of Paderborn)]