DIGILOG focus meeting
Generative AI and how to utilise possiblities that AI can create
CLOSER works within the focus area of Digitalised Logistics (DIGILOG) to ensure that the industry takes advantage of the opportunities offered by data-driven logistics and digital innovation. Knowledge and experiences between players and the logistics system are shared through dialogue and collaboration.
Agenda
| 13.00 | Welcome, Ulrika Holmgren & PO Arnäs, CLOSER |
| 13.10 | Examples of how we can address logistics and transportation issues using AI - a case study on Care of Carl, Jonas Waidringer, Högskolan i Borås |
| 13.30 | Deep Reinforcement Learning for operational locomotive planning, Zohreh Ranjbar, RISE |
| 13.50 | AI generates new capabilities, but why is it so challenging to implement?, Jonas Järnfeldt, The Train Brain |
| 14.10 | Open discussion, modererated by PO Arnäs & Ulrika Holmgren, CLOSER |
| 14.50 | Summary and conclusion, PO Arnäs & Ulrika Holmgren, CLOSER |
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Information about the presentators and presentations:
Jonas Waidringer, Tekn Dr Industriell Ekonomi Högskolan i Borås
What will the presentation be about?
A Brief Overview of the Fundamentals of AI.
By tailoring AI algorithms to run on a GPU-based network, we can now tackle multidisciplinary problems that were previously beyond our reach. This includes the optimization of multiple parameters, such as cost, sustainability, and availability. Furthermore, we can optimize inventory based on customer basket analysis, leveraging insights from customer shopping patterns
Zohreh Ranjbar, Senior Researcher, RISE
Who are Zohreh?
She is a senior researcher at the Department of Mobility Systems in the Unit of Systems Engineering at RISE. In the scope of her research, she focus on the field of industrial artificial intelligence (AI) and work on large-scale data analysis as well as machine learning for various applications within the industry. She has, among other things, conducted research on the use of self-learning neural networks for operational train control for freight trains and also investigated the relationship between train punctuality and various disruption factors. Additionally, She has applied AI in other industrial areas, such as optimizing district heating production. She holds a doctoral degree in computational science from Linköping University.
Jonas Järnfeldt, The Train Brain
What will the presentation be about?
AI generates new capabilities, but why is it so challenging to implement?
Pattern recognition solutions for real time simulation and optimization in traffic production are available. This means excellent new oppprtunities to make public transport and passenger rail more reliable and more cost effective. What are the barriers that need to be removed in order for us to rethink how sustainable traffic is produced using automation technology?
Who is Jonas Järnfeldt?
He is the CEO of The Train Brain. A Swedish startup that builds Machine Learning models with the aim to accelerate the transition to sustainable mobility. He has a background as a management consultant and he has started several companies in different industries. Jonas is a sought after speaker educated in Sweden, Canada and France.
The meeting will be held in conjunction with the final conference of AI Enhanced Moblility. And will, as usual, take place on Zoom. However you can choose to participate digitally or physically at both the final conference and the focus meeting.