EAI4IA was a multidisciplinary workshop addressing AI technologies at the edge, giving an overview of silicon-born AI components to advance Moore?s law and accelerate the adoption of AI-based edge processing in different industries. Technological advances regarding edge AI embedded in electronic components and systems were presented, and the challenges of introducing embedded AI technologies for digitising industrial sectors were discussed. It was co-organised by three large-scale ECSEL JU projects: AI4DI, ANDANTE and TEMPO. EAI4IA comprised technical presentations, keynotes and panel discussions focusing on industrial-edge AI hardware, software and AI.
Nine papers from AI4DI were accepted for presentation at the workshop. All presentations are listed below. The workshop publications are bundled in an open-access book: Industrial Artificial Intelligence Technologies and Applications (riverpublishers.com).
Agenda
Session: Trustworthy, Dependable AI for Digitising Industry
Björn Debaillie (imec, BE) Technologies and hardware for neuromorphic computing (TEMPO)
Mario Diaz Nava (ST Microelectronics, FR) AI for New Devices and Technologies at the Edge (ANDANTE)
Session: Trustworthy, Dependable AI for Digitising Industry
David Kaufmann (AVL LIST, AT) A framework for integrating automated diagnosis into simulation
Session: Embedded AI for semiconductor manufacturing
Saad Al-Baddai (Infineon Technologies AG, DE) Failure detection in semiconductor package
Dmitry Morits (VTT, FI) AI machine vision system for wafer defect detection
Session: AI model development workflow and HW target platforms deployment
Data Session: Strategic Vision and Road mapping
Session: Explainable AI in the Embedded Electronics Industry Environment
Loreto Mateu (Fraunhofer IIS, DE) Benchmarking Neuromorphic Computing for Inference
Franz Wotawa (Graz University of Technology, AT) On the Verification of Diagnosis Models
Session: Emerging AI Technologies in Industrial Applications