Artificial intelligence (AI) is an exciting global technology trend related to machine learning and deep learning. It is not new, but is now coming to an effectiveness that justifies calling it AI. In the near future, AI-based applications will be a significant part of our daily lives and will likely have taken over important everyday tasks. There are still some challenges to solve along the way.
This year's AI session will focus not only on the all-important machine learning algorithms, deep neural networks and spiking neural networks, but also on concrete applications in the industrial sector such as the Industrial Internet of Things (IIoT). Get to know current drivers like Computer Vision as well as AI platforms, tools and methods. Dive into the currently highly regarded areas of condition monitoring and predictive/smart maintenance and look forward to exciting insights on object, gesture and speech recognition as well.
We invite you to share and discuss your AI use cases, expectations on AI applications, current challenges and next steps towards AI application!
The session is presented by Pfeiffer Vacuum GmbH.
The presentations of the session at a glance:
- Artificial Intelligence - From Automation to AI in Production IBM - Computer Vision in Practice (10:00 - 10.30)
- Actual Trends in Computer Vision (10:30 - 10:50)
- Material characterization using correlative microscopy and artificial intelligence (10:50 - 11:10)
- KI-ASIC_Radar-based gesture recognition with signal processing in spiking neural networks (11:30 - 11:50)
- From monitoring to predicting the condition of machines and processes (11:50 - 12:10)
- Edge computing and AI for predictive maintenance of production-critical valves in the semiconductor industry (12:10 - 12:30)
- How AI can unlock the value in the Industrial Internet of Things (13:50 - 14:20)
- Resource-efficient value creation using AI (14:20 - 14:40)
- Smart Maintenance in the Manufacturing Industry by abstracting Machine Learning from Customer Knowledge (14:40 - 15:00)
- viabrevi® (15:00 - 15:20)