The goal of the event is to showcase real industrial AI deployments with proven business benefits and to explain how machine–human collaboration has helped to optimize industrial processes and innovate new industrial products.
I love high-tech business and am involved since now nearly 10 years in AI/ML. First bringing global AI deep-tech firms to high-tech events in CH and now exporting AI engineering services outside of CH with many non-CH world-class engineers and scientists at nnaisense.
In my pre-AI/ML life, I lived and worked in HK and China, and Silicon Valley. There I was working in product management with the startup team that developed the first Gigabit Ethernet Switch/Router with WAN capabilities integrated. I studied Electrical Engineering with a specialization in telecom and RF systems and later on in data engineering.
Prof. Dr. Jürgen Schmidhuber
Co-founder, Chief Scientist at NNAISENSE
Jürgen’s main goal since he was 15 has been to build an AI smarter than himself, then retire. On the way there, as scientific director at IDSIA, he and his research group have been at the forefront of modern machine learning since the early 90s, including the first deep networks to win international competitions in pattern recognition which have revolutionized handwriting recognition, speech recognition, machine translation, and image captioning. He is the recipient of numerous awards, and advises governments on AI and how it’s about making lives longer, healthier, easier, and happier.
Sessions in this Summit
Keynote 1: Industrial AI
User assistance system (UAS) in specialty glass production
Drones to predict faults at wind turbines
AI-driven process monitoring and simulation in additive manufacturing
Overview of physical analytics research with focus on semiconductor manufacturing applications
Panel 1: Technology, project challenges and solutions
Keynote 2: Introduction of Industrial AI with Applications - Systematic Approach
Control Theory meets Artificial Intelligence: Safe AI-driven Industrial Process Control
Dr. Marco Gallieri, Sr. Researcher NNAISENSE
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Continental’s IT infrastructure for AI projects
Enhancing AI across the Intelligent Edge Ecosystem Architecture
Fog AI – Foxconn’s Industrial AI platform
Fireside Chat with Prof. Jay Lee: State of Industrial AI
Keynote 3: smartFactory - Use of AI in Industry 4.0
State of AI in industrial processing – Hype vs. reality and Human-Machine collaboration trends
Industrial Plant of the Future: How Control + AI Technology Improve Operations
How to fast-track your AI projects with state-of-the-art ML services
NVIDIA’s perspective on Industrial AI & Transformative Industrial AI use cases
Panel 3: How to integrate AI projects into your enterprise?