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DTSTART;TZID=Europe/Amsterdam:20230413T154500
DTEND;TZID=Europe/Amsterdam:20230413T170000
DTSTAMP:20260405T111222
CREATED:20230220T142001Z
LAST-MODIFIED:20230403T100720Z
UID:10000108-1681400700-1681405200@mondai.tudelftcampus.nl
SUMMARY:AI Meet Up: AI for Mobility
DESCRIPTION:(This event will be held in English) \nMondai | House of AI is pleased to host our upcoming Meet Up in collaboration with our partner Kickstart AI! \n \nMobility\, Transport and Logistics \n“Significantly decreasing greenhouse gas emissions\, reducing the number of traffic casualties and also strengthening the economy: these can all be done in the Netherlands if we raise our mobility\, transport and logistics to a higher level using artificial intelligence (AI).\nThe Netherlands is a small country with a lot of inhabitants and a great deal of economic activity. On top of that\, we have Rotterdam as a transhipment port that just about the entire world uses\, so we constantly have huge transport flow – by water\, road and rail. What that all means is that we have been pushing the limits of our infrastructure in terms of mobility\, transport and logistics for a while now.”\n– NLAIC: Sector Mobility\, Transport and Logistics \nJoin us for the fifth TU Delft AI Meet Up where we will take a closer look at AI for Mobility. Together with Bob Huisman\, Manager Research & Development Logistic Hub for the NS\, and Prof. Dr. Mathijs de Weerdt\, TU Delft Faculty of EEMCS\, who will give insight into how the TU Delft and the NS are working together to improve our mobility. \n\n\n\n\nAlgorithmic research and development for train shunting at railway hubs\nAlgorithms can support important decisions; in this case supporting the preparation of trains such that they can run in the timetable: where to park\, when to clean\, and which trains to match to which slots in the timetable. When supporting such decisions about the real world\, one is confronted with a long list of uncertainties\, special constraints\, people’s preferences\, exceptions\, and all other kinds of details. It is not only difficult to get all the relevant information in time\, the details that are included also affect which algorithmic techniques are most effective. Finding the best combination of model and algorithm requires expertise on the computational aspects\, as well as understanding of what is important in practice. Bob and Mathijs explain how scientists and developers can work together\, why this is motivating for both sides\, and what is needed to get from ideas to implementation and operation. \n\n\n\n\nMarshalling yard in Zwolle at the Engelse Werk park \nProgramme\n15:45 Doors open\n16:00 – 17:00 Keynote speeches by Bob Huisman (NS) and Prof. Dr. Mathijs de Weerdt (TU Delft\, EEMCS) on the collaboration efforts of the NS and the TU Delft\n17:00 Networking drinks! \nSpeakers\nMathijs de Weerdt is full professor on Algorithms for Planning and Scheduling and section head of the Algorithmics Group at Delft University of Technology. His main aim is to develop new algorithmic techniques that cope with challenges prohibiting successful use of algorithmic and artificial intelligence planning and optimization techniques in practice. He mainly works on such algorithmic challenges related to the energy transition and railway transportation. \n[placeholder] \n \nBob Huisman is manager of the R&D Hub Logistics group at the railway operating company NS\, responsible for research and development dedicated to solving challenging logistic problems. His team works closely together with universities to develop algorithms which are implemented in software products. Huisman is one the Principal Investigators of the ROBUST AI program and chair of its User’s Committee. \n[placeholder] \nCurious about how AI improves our Mobility? Then register via the button above or below. \nOur partner: Kickstart AI\nis a non-profit initiative that aims to accelerate AI adoption in the Netherlands\, and improve society through the use of AI.  Together four corporates\, including the Nederlandse Spoorwegen\, want to give back to the community. Through ongoing funding and pooling of data science resources\, they created and continue to foster a thriving AI community.\n \nOur Goal\nThis Meet Up group is set up to showcase the Artificial Intelligence (AI) ecosystem of Delft and Zuid-Holland\, to inspire students and the surrounding area\, and to give academia and industry a place to network. \nThe Meet Ups are a monthly event\, where each time a new AI issue is put to the test. So keep an eye on the agenda! \nFor more information on AI research @ TU Delft\, see here.
URL:https://mondai.tudelftcampus.nl/en/event/ai-meet-up-ai-for-mobility/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
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ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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DTSTART;TZID=Europe/Amsterdam:20230411T164500
DTEND;TZID=Europe/Amsterdam:20230411T180000
DTSTAMP:20260405T111222
CREATED:20230221T112713Z
LAST-MODIFIED:20230221T113650Z
UID:10000112-1681231500-1681236000@mondai.tudelftcampus.nl
SUMMARY:VNO-NCW Delft @ Mondai | House of AI
DESCRIPTION:  \nOn 11 April\, Mondai | House of AI is pleased to invite members of VNO-NCW Delft to come and get acquainted with TU Delft’s AI Ecosystem. \n(This event will be held in Dutch) \nDe digitale transformatie van Nederland en de wereld is onherroepelijk en ontwikkelt zich razendsnel. AI speelt daarin een hoofdrol en de toepassingsmogelijkheden ervan zijn eindeloos. Samenwerking is cruciaal. Alleen door samen te werken kunnen we de grote wetenschappelijke en maatschappelijke vraagstukken op het gebied van bijvoorbeeld de energietransitie\, veiligheid en volksgezondheid oplossen\, en de regio Zuid-Holland en Nederland uit laten groeien tot een power house op het gebied van AI. \nDe TU Delft werkt hard aan haar missie ‘impact for a better society’\, via onderwijs\, onderzoek en innovatie\, en staat in het hart van het Nederlandse ecosysteem voor technisch-wetenschappelijke ontwikkeling. Met het AI Initiative en het expertisecentrum Mondai House of AI heeft de universiteit een bijzondere focus op artificiële intelligentie (AI)\, data en digitalisering.
URL:https://mondai.tudelftcampus.nl/en/event/vno-ncw-delft-mondai-house-of-ai/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
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ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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