Automation and artificial intelligence are becoming increasingly important in the production process. Industry 5.0 creates a flexible working environment where people and technology work together to achieve an efficient production process.
The training will provide knowledge on how high-tech solutions affect manufacturing companies. We will discuss how to make the best use of new technological opportunities and how human and technological strengths can complement each other. This knowledge will provide an opportunity to delegate tasks that can be automated to machines and to use people where machines cannot yet replace them.
9.30-10.00 assembly
10.00-11.30 “Factories of the future: an overview of Industry 5.0 and Industry 4.0 technologies” – Karl Kruusamäe
11.30-13.00 “Opportunities for industry from the development of Artificial Intelligence” and “How Chat GPT can help the middle manager to provide a solution” – Meelis Kull
13.00-14.00 Lunch break
14.00-15.00 “Automated quality control and process management” – Veiko Vunder
15.00-15.15 Refreshment break
15.15-16.45 “What data and drawings tell us about process management” – Raivo Kolde
16.45-17.15 Discussion
17.15 end of the training day
Those who have completed the training in full will receive a certificate of participation in the University of Tartu.
The training is open to legal entities only and pre-registration is required by 26 September 2024 or until places are available. Places are limited!
The training is aimed at managers, executives, analysts and other industry professionals from small and medium sized industrial enterprises (EMTAK C) who want to better understand the importance of data and gain practical insights into the use of new technological tools.
The training fee is €480, which will be covered by de minimis aid. By registering for the training, the company confirms that it is authorised to use the VTA balance for its participation, which will be registered in the State Aid Register for Enterprises as a co-financed participation fee in the project “AI & Robotics Estonia (EDIH)”. The registered target companies will be directed to the AIRE digital maturity assessment service and you will be contacted on this matter.
The training will be delivered by lecturers and researchers from the Institute of Computer Science and the Institute of Technology at the University of Tartu.
Karl Kruusamäe is an Associate Professor of Robotics at the University of Tartu. His research focuses on robots in human environments, such as urban spaces, hospitals, and manufacturing facilities. He earned his PhD from the University of Tartu in 2012 and has worked at both the National Institute of Advanced Industrial Science and Technology (AIST) in Japan and the University of Texas at Austin in the USA. Currently, Karl contributes to European and Estonian industrial innovation, actively participating in the EIT Manufacturing (www.eitmanufacturing.eu) and EDIH-AIRE (www.aire-edih.eu) collaboration networks.
Meelis Kull is an Associate Professor of Machine Learning at the University of Tartu. He leads a research group in machine learning that focuses on developing artificial intelligence capable of recognizing the limits of its knowledge and expressing uncertainty when necessary, thus making AI a reliable partner. One application of this research is ensuring that a self-driving car can recognize when its perception system is uncertain and slow down for safety. Meelis conducted research in bioinformatics during his doctoral studies and in sensor data analysis during his postdoctoral research at the University of Bristol in the UK. Over 1000 students have taken his courses, and he has been chosen as the lecturer of the year by the students of his institute.
Veiko Vunder is a Lecturer in Robotic Technology at the University of Tartu. Through both research projects and teaching, he focuses on the high-level control of robots and is one of the leaders behind the educational robot Robotont, developed at the University of Tartu. Veiko has a background in computer engineering, having completed his PhD at the University of Tartu in 2016, followed by a year of postdoctoral research at the University of Texas at Austin. Currently, he participates in several EIT Manufacturing robotics projects, develops robot software, and contributes to the development of educational materials.
Raivo Kolde is an Associate Professor of Data Science at the University of Tartu. He has been involved in the analysis of biological and health data during his doctoral studies at the University of Tartu, postdoctoral research at Harvard University, and as a data scientist at Philips Research in Boston. He is the author of several popular visualization software tools and teaches future data scientists about data visualization and health data analytics.
For more information, please contact us at koolitused@aire-edih.eu.
Check out AIRE’s other training courses on our website.
The training is organised by AIRE’s partner University of Tartu in cooperation with the Võrumaa Development Centre Foundation.
AIRE Club #32