Agenda

EAI workshop agenda

European Embedded AI Ecosystem

Frank Badstübner (Infineon Technologies AG, DE), Björn Debaillie (imec, BE), Mario Diaz Nava (STMicroelectronics, FR), Ovidiu Vermesan (SINTEF, NO) - Large-scale projects overview: ECSEL JU AI4DI, TEMPO, ANDANT

Giacomo Indiveri (University of Zurich, CH) - Bio-inspired On-line Learning Circuits for Low-power Extreme-edge Spiking Neural Network Processing Systems

Session: Embedded AI devices and systems (Moderator: Björn Debaillie, imec, BE)

Frédéric Pétrot (University Grenoble Alpes, FR) - Power Optimised Wafermap Classification for Semiconductor Process Monitoring

Roland Müller (Fraunhofer IIS, DE) - Low-Power Analog In-memory Computing Neuromorphic Circuits

Loreto Mateu (Fraunhofer IIS, DE) - Tools and Methodologies for Edge-AI Inference Accelerators

Sourav De (Fraunhofer IPMS, DE) - Low-Power Vertically Stacked One Time Programmable Multi-bit IGZO-Based BEOL Compatible Ferroelectric TFT Memory Devices with Lifelong Retention for Monolithic 3D-Inference Engine Applications

Session: Embedded AI solutions (Moderator: Frank Badstübner Infineon Technologies, DE)

Bernhard Lippmann (Infineon Technologies, DE) - Addressing Physical and Functional Reverse Engineering Challenges for Advanced IoT Solutions with AI

Ivan Miro-Panades (CEA-List, FR) - Meeting the Latency and Energy Constraints on Timing-critical Edge-AI Systems

Dylan Muir (SynSense, CH) - Low-power Neuromorphic Auditory Processing - Silicon to Applications

Sara Loi (STMicroelectronics, IT) - Artificial Intelligence: The Impact in the Semiconductor World

Jianyu Zhao (Infineon Technologies AG, DE) - An Embedding Workflow for Tiny Neural Networks on ARM Cortex-M0(+) Cores

Ovidiu Vermesan (SINTEF, NO) - Architecting Edge AI Workflows for Predictive Maintenance in Industrial Applications

Ismail Rameez (Philips Research, NL) - Food Ingredients Recognition Through Multi-Label Learning