Robotics and AI Engineer, Switzerland
I am a Robotics and AI engineer with various experiences both in academia, tech companies and startup environments. These experiences allowed me to become proficient in transferring machine learning techniques from academia, where incredible state of the art methods are developed every day, into real world industrial and consumer applications.
Session: AI systems applied to industrial and consumer applications
In this talk I detail how advanced AI systems can be implemented in industrial and consumer applications, with concrete examples from my experience both in a B2B and B2C approach. I also talk in detail about the limitations of such systems with both speed, cost and energy consumption. Another innovative use case for machine learning systems is hardware reduction. This approach is a great way to cut costs while improving the performance of more conventional systems.
Learning outcomes:
- Learn how to link academia with industrial and consumer applications.
- Define advantages and limitations of AI systems.
- Learn the development process for production AI applications.
- Have real life examples of AI applied in industrial and consumer applications.
Additional information and programme of International Conference on Robotics, Automation & Artificial intelligence Systems – here
