We would like to invite you to a lecture by Prof. Wolfgang Wahlster, founding director of the German Research Center for Artificial Intelligence (DFKI) and distinguished professor of computer science and artificial intelligence. The lecture „Hybrid technology LxM: AI as a Booster for Industrie 4.0“ will take place on 27 May at 10:00 in the Red Auditorium of the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC) of CTU. The event is organized in cooperation between RICAIP and CIIRC with the support of the INPACE project and DFKI.
When: May 27, 10 AM
Where: CIIRC, Testbed Multimedia Room
Further information and registration
The language of the lecture will be English (without interpretation) and it will be possible to participate both in person and online. Interested parties can register via the following link https://ricaip.eu/event/wwahlster-prague-2024/#register
About prof. Wahlster
Professor Wahlster is one of the most significant personalities and pioneers in the field of artificial intelligence (AI) in Germany and Europe and the spiritual father of Industry 4.0. Wolfgang Wahlster is a pioneer in completely new fields that are at the intersection of computer science, industrial engineering and the Internet of Things (IoT). He is working on semantic object memory – the digital twin, cyber-physical manufacturing architecture and hybrid teams of robots and workers for the industry of the future. Together with Prof. Kagermann and Prof. Lukas, he has already invented and published the so-called „Industrie 4.0“ in 2011, marking a comprehensive concept for the fourth industrial revolution. Professor Wahlster’s research results in the field of Industry 4.0 represent a real breakthrough in the concept of industry of the future. A completely new concept of production based on artificial intelligence has laid the foundations for synergistic cooperation between humans and robots in the smart factories of the future. These visions are changing the way of thinking not only in industry, but also in transport, smart cities, distribution networks, etc., and can be seen as a fundamental step towards the change of mindset that is absolutely necessary for the society of the future (Society 4.0).
In early 2020, Prof. Wahlster received an honorary doctorate from CTU – read more HERE. You can read more about Prof. Wahlster and his work HERE.
Prof. Wahlster’s lecture will be streamed online via this link:
Abstract of the lecture:
In the next decade of Industrie 4.0 a new generation of AI technologies will take smart factories to a new level. Large Language Models (LLMs) will be complemented by Large Process Models (LPMs) and Large Action Models (LAMs), so that generative neural models not only predict what to say or visualize next, but also what to do next.
Because LPMs and LAMs are trained on data lakes of process specifications and action sequences, they can predict which plan to take based on a given task and thus can execute the task from start to completion, creating more agency and autonomy in smart factories. LxM technologies avoid the effort of manually coding active digital twins, but are able to code a significant portion of them automatically based on neural transformers.
Although deep learning is the most powerful learning method developed to date, it has already reached its inherent limits in many industrial application domains and must be combined with various symbolic approaches in new system architectures. This leads to hybrid LxM (x=L,P, or M) technologies that use holonic multiagent architectures for combining neural approaches with symbolic reasoning technologies such as constraint solving, physics-based simulation and terminological reasoning in knowledge graphs.
We present and discuss our new roadmap for the next decade of research and innovation for Industrie 4.0 from 2024 to 2034. Some self-appointed “experts” have proposed on the EU level the new term “Industry 5.0”. But this is neither necessary nor helpful as it wrongly suggests that the Fourth Industrial Revolution is complete. In addition, the suggested „new topics“ were already focus areas in the original specification of the goals of Industrie 4.0.
Before we conclude, we will present two examples of LxM applications: the recent DFKI spin-off company XPECT, which combines process mining with execution and compliance verification, and the latest version of AIQUAMA, which uses neuro-symbolic methods for zero-error assembly in hybrid robot-human teams.
