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DTSTART;TZID=Europe/Amsterdam:20230523T123000
DTEND;TZID=Europe/Amsterdam:20230523T170000
DTSTAMP:20260406T002938
CREATED:20230320T101859Z
LAST-MODIFIED:20230523T082336Z
UID:10000121-1684845000-1684861200@mondai.tudelftcampus.nl
SUMMARY:Accelerating FinTech Adoption: The Delft FinTech Lab
DESCRIPTION:(This event will be held in English) \nTechnology adoption is accelerating the financial industry at an unprecedented rate\, not only among FinTech companies but also among conventional financial institutions. We invite you at Delft University of Technology to take a front-seat in interacting with your peers across various financial sectors to explore the future of Finance with technological impetus. \nAt TU Delft\, we are positioned at the forefront in the research of financial technology across diverse topics such as Anti-money laundering\, Anomaly detection\, Inclusive pension funds\, Green finance\, Natural language processing\, Sentiment analysis and many more. We are bridging all these research lines under one synergistic umbrella\, the Delft FinTech Lab and we ‘re excited to launch this lab on the 23rd of May through this event titled\, Accelerating FinTech Adoption: The Delft FinTech lab. \n[placeholder][place][placeholder][placeholder][placeholder] \nBanks\, Pension funds\, Regulators\, Insurance companies\, Payment companies\, other finance sectors and researchers from TU Delft are joining together here to explore new possibilities in the future of Finance. We invite you to be part of this event and we are excited to host you. \nDuring the event\, you will have many opportunities to participate in peer-to-peer learning\, panel discussions\, hackathons\, and networking with fellow attendees on topics such as Building trustworthy financial systems\, Blockchain\, Quantitative modelling and Data intelligence along the following program. \nProgramme\n12:30 – 13:00 Doors open and Lunch\n13:00 – 13:20 Launch of the Delft FinTech Lab by Arie van Deursen and Venkatesh Chandrasekar\n13:20 – 14:00 Financial Data Intelligence with Asterios Katsifodimos\, Iman van Lelyveld from DNB and VU and Soode Fazeli\, from Exact\n14:00 – 14:40 Quantitative Modelling in Finance with Antonis Papapantoleon\, Jasper Anderluh\, Fang Fang and Rick Lodder from MN\n14:40 – 15:20 Blockchain with Jérémie Decouchant and Burcu Külahçıoğlu Özkan\n15:20 – 15:40 Break\n15:40 – 16:20 Building Trustworthy Financial Systems with Stefan Buijsman\, Zekeriya Erkin\, Patrick Altmeyer and Evert-Jan van Doorn from ING\n16:20 – 17:00 Panel – Future of FinTech with Pieter Huibers from Adyen\, Evert-Jan van Doorn from ING\, Patrick De Neef from DNB\, and  Angelique Schouten from 10x.Team and Holland FinTech\, moderated by Arie van Deursen\n17:00 Close and Networking Drinks \n[placeholder]  [place]
URL:https://mondai.tudelftcampus.nl/en/event/accelerating-fintech-adoption-delft-fintech-lab/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/03/TUD_FinTech_mobile.png
ORGANIZER;CN="Venkatesh Chandrasekar":MAILTO:v.chandrasekar@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230517T103000
DTEND;TZID=Europe/Amsterdam:20230517T170000
DTSTAMP:20260406T002938
CREATED:20230426T090248Z
LAST-MODIFIED:20230509T093329Z
UID:10000126-1684319400-1684342800@mondai.tudelftcampus.nl
SUMMARY:Human Language Technologies Day at TU Delft
DESCRIPTION:(This event will be held in English) \nHuman language technologies are transforming the innovation landscape in society and industry. Recent advances in large language and multi-modal models have brought human language technologies to the forefront of AI. We are at a tipping point witnessing the drastic growth of HLT applications and their transformative impact on the way we communicate and interact\, with humans and with machines. \nComing along with the rapid increase of HLT usage\, however\, are pressing concerns about the inherent shortcomings of such technologies and the social and ethical implications. The stranglehold of the transformative technologies by private giants further raises the barrier to overcoming these challenges. Proper design\, deployment\, and adoption of HLT require open\, transdisciplinary research and innovation to offer insights into the scientific and practical challenges.  \nThe HLT community at TU Delft is organising the Human Language Technologies Day on May 17\, Mondai House of AI. The aim of the Day is to bring together researchers and practitioners in the field of language technologies to share their perspectives and insights from research and practical applications\, and ideas about the current challenges and future opportunities. This event features a list of invited talks by TU Delft researchers and practitioners from ING\, EMC\, Philips\, Booking.com\, and SURF.  \nHLT at Delft\nHLT at Delft is home to world-class researchers from broad socio-technical backgrounds\, collaborating with partners from a wide range of domains. A number of labs\, part of the TU Delft AI Labs & Talent programme\, are working on human language technologies. Together we are creating knowledge for the design\, development\, governance\, and use of the next generation of HLT that are reliable\, safe\, and trustworthy.  \nProgramme\n10:30 – 11:00 Meet & Greet\n11:00 – 11:10 Welcome Address\n11:10 – 11:35 Avishek Anand (WIS/EWI\, TU Delft) LLMs for Search and Question-Answering\n11:35 – 12:00 Aki Harma (Philips\, UM) Automatic Reporting in Healthcare Industry\n12:00 – 12:25 Fengjun Wang (Booking.com) MuMIC – Multimodal Embedding for Multi-label Image Classification with Tempered Sigmoid\n12:25 – 13:25 Lunch Break\n13:25 – 13:50 Paul Braakman (ING) ING’s Use Case for Communication Surveillance\n13:50 – 14:15 Ujwal Gadiraju (WIS/EWI\, TU Delft) A Different Language Is A Different Vision Of Life: Building Robust Human-Centered AI Systems\n14:15 – 14:40 Jiwon Jung (EMC) Data-enabled Design in the Field of Digital Health: Understanding hundreds of thousands of patient experience using human language technologies\n14:40 – 15:05 Senthil Chandrasegaran (IO\, TU Delft) Understanding and Simulating Design Practice through Language\n15:05 – 15:20 Break\n15:20 – 15:45 Stefan Buijsman (TBM\, TU Delft) Operationalizing Values in Human Language Technologies\n15:45 – 16:10 Matthieu Laneuville (SURF) How to Enable Easy Access to Public Value Driven Language Models: an Infrastructure Perspective\n16:10 – 16:55 Gerd Kortuem\, Olya Kudina\, Peter Lloyd\, w/ Jie Yang  Fireside chat: How can Human Language Technologies better serve Humans?\n17:00 Drinks!
URL:https://mondai.tudelftcampus.nl/en/event/human-language-technologies-day-at-tu-delft/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/04/20220907_fotomariekedelorijn_2274d.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230511T120000
DTEND;TZID=Europe/Amsterdam:20230511T133000
DTSTAMP:20260406T002938
CREATED:20230313T130243Z
LAST-MODIFIED:20230502T081905Z
UID:10000119-1683806400-1683811800@mondai.tudelftcampus.nl
SUMMARY:AI Lab Lunch: AidroLab & XAIT Lab
DESCRIPTION:During this AI Lab Lunch the Aidro Lab and the XAIT Lab will present themselves and their latest developments! \n(This event will be held in English) \nThe AidroLab brings together fundamental and applied AI to push the boundaries of science\, enabling resilient and sustainable urban water systems. Fast and accurate AI-tools are needed to model the physical processes within water networks and during flooding events. AidroLab believes that the most promising techniques to develop such tools are Graph Neural Networks or GNNs – an extension of deep learning to graph data structures. They are also exploring other AI-applications that can complement our GNN models and provide a thorough AI-based digital twin of (urban) water systems. \nThe XAIT Lab develops novel approaches that focus on the explainable aspect of AI for mobility. They incorporate explainability into three core modules within mobility decision support systems: state estimation\, prediction and optimization. This means integrating multimodal data\, contextual information and novel AI techniques into a single holistic digital twin platform. The result is augmented digital twinning methodologies with explainable AI techniques\, creating a new class of AI twins for cities. Such approaches provide tangible and concrete decision support that helps resilient cities to tackle urban problems such as evacuation\, energy\, long-term planning and infrastructure operations. \nNote for TU Delft PhDs\nPer 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches\, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list. If you already have form\, don’t forget to bring it with you \nAI Lab Lunch Series\nThe Delft AI Lab Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI. Every month\, two Delft AI Labs present their work and discuss challenges and developments made in their field. During these events\, you can participate\, learn\, make connections\, inspire and be inspired by and with the Delft AI Labs. This event is open for all interested.
URL:https://mondai.tudelftcampus.nl/en/event/ai-lab-lunch-aidro-lab-xait-lab/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/03/Aidro_XAIT_FeaturedImage.png
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230509T123000
DTEND;TZID=Europe/Amsterdam:20230509T163000
DTSTAMP:20260406T002938
CREATED:20230418T115254Z
LAST-MODIFIED:20230508T140028Z
UID:10000124-1683635400-1683649800@mondai.tudelftcampus.nl
SUMMARY:AI for Crisis Response and Climate Security
DESCRIPTION:AI for Crisis Response and Climate Security: Opportunities\, Challenges and Future Directions (This event will be held in English) \nOver the past decade\, we have been confronted with floods and storms\, pandemics\, and conflict. At the same time\, AI has undoubtedly changed the way humans interact and make decisions. As such\, AI holds substantial promise for understanding and mitigating some of the world’s ‘super-wicked problems’\, e.g.\, the climate crisis\, pandemics\, or food security. For instance\, AI is used to analyse the damages resulting from earthquakes or storms to better allocate resources and plan the recovery; to predict how people move in disaster affected areas\, or how human mobility will contribute to the spread of a virus; and to forecast the needs of a disaster-affected population for food\, water\, shelter\, or financial assistance. However\, decisions in disasters are characterized by high levels of complexity\, uncertainty\, and different moral dilemmas that any AI has to account for. At the same time\, crisis decisions are often urgent. We know that under time pressure and when the stakes are high\, decisions are prone to a range of cognitive biases. \nIn this workshop\, we aim to unpack the main opportunities\, challenges\, and to explore the ways forward to design\, develop and use AI for Crisis Response and Climate security. Our aim is to connect researchers\, policy-makers\, and practitioners active in this domain\, and to develop a joint research agenda. \nProgramme\n12.30-13.30     Networking lunch \n13.30-15.00     Inspiration session \nWe explore different application fields\, and gain insights from the practice of AI research and use. Our speakers are:\nCrisis Response: Dr. Ali Mostafavi\, Zachry Career Development Associate Professor\, Civil & Environmental Engineering\, Texas A&M\nClimate Security: Thomas Baar\, Lead for the Integrated Food Security Phase Classification\, FAO\nForecast-Based Financing & Vulnerability Assessment: Marc van den Homberg\, Lead 510.Global\nGeospatial AI: Thijs Oosterhuis\, Earth Observation Application and Processing Expert at Space4good \n15.00-15.30     Coffee Break \n15.30-16.30     Interactive workshop \nWe co-create our joint agenda to make headway in developing responsible AI for crisis response and climate security in two rounds:\nIdentify research questions and research needs from academia\, policy and practice\nCluster and prioritize research topics \n16.30              Closing & drinks \nSpeakers\nAli Mostafavi – The Next Big Leap: How AI and Data Science Can Transform Disaster Resilience Research and Practice\nis a Zachry Endowed Associate Professor in the Department of Civil and Environmental Engineering at Texas A&M University. He is the Director of UrbanResilience.AI Lab whose research focuses on creating advanced computational models and data science algorithms to advance smart and equitable resilience to crises. His research program integrates advanced machine learning and complex systems-based computational modeling into infrastructure resilience assessments in order to understand and predict complex interactions in the nexus of humans-disasters-built environment. In his talk Ali Mostafavi will expand on using AI for smart crisis response and resilience: how can research on combining community-scale big data with deep and machine learning models improve the ability of a city to withstand disruptions and rapidly recover from crises. \nThomas Baar – A Global Food Crisis: Modelling and Uncertainty\nis a product development manager at the Integrated Food Security Phase Classification (IPC). He is responsible for coordinating the IPC Digital Innovation Agenda\, which focuses on modelling and consensus building in support of the IPC analysis process. In addition\, he coordinates the design and roll-out of the new IPC Analysis Platform. The IPC Analysis Platform will support analysts and facilitators in conducting and communicating the IPC analysis process more efficiently and effectively. Simultaneously\, it will provide an enabling infrastructure for further digital innovation and the integration of validated technologies into the IPC. In his talk Thomas Baar will showcase how AI is improving the analysis process of the Integrated Food Security Phase Classification (IPC)\, and he will discuss the link between automated and human decision-making. \nMarc van den Homberg – Artificial Intelligence and Big data for disaster risk management: opportunities and challenges for the Red Cros Red Crescent Movement\nis the scientific lead of 510\, an initiative of The Netherlands Red Cross. 510’s mission is to shape the future of humanitarian aid by converting data into understanding and supporting humanitarian relief workers\, decision-makers\, and people affected so that they can better prepare for and cope with disasters. His research concerns improving preparedness and response to natural hazards and complex emergencies through data-driven risk assessments\, impact-based forecasting\, information management\, and governance mechanisms. He leads the collaboration with academia and supervises MSc/PhD research about 510’s projects with over 40 African and Asian National Red Cross societies. Marc is an Advisory board member of WMO The High-Impact Weather Project (HIWeather) and IFRCs Early Action Protocol Validation Committee. Before 510\, Marc was the leader and co-founder within TNO\, the Netherlands Research and Technology Organization\, of the ICT for Development (ICT4D) team with which he implemented pro-poor ICT innovations. In his talk\, Marc will show examples of 510’s use-inspired research on AI and big data for disaster risk management while considering data gaps\, accountability\, and explainability.
URL:https://mondai.tudelftcampus.nl/en/event/ai-for-crisis-response-and-climate-security/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/04/FeaturedImage_AICrisisLogos.png
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230508T124500
DTEND;TZID=Europe/Amsterdam:20230508T174500
DTSTAMP:20260406T002938
CREATED:20230308T101116Z
LAST-MODIFIED:20230508T081113Z
UID:10000117-1683549900-1683567900@mondai.tudelftcampus.nl
SUMMARY:The Dutch UNconference AI
DESCRIPTION:(This event will be held in English) \nMondai | House of AI is pleased to host the Dutch UNconference AI in collaboration with InnovationQuarter\, NL AIC and Yes!Delft. \n[placeholder]  [place]  \nThe first Dutch UNconference on AI is a valuable event where startup founders and CTOs in the AI space can build new connections with their peers\, share their challenges and successes\, and accelerate their learning progress. \nThe intimate setting of an UNconference enables peer-to-peer learning on topics that are chosen by the participants based on the challenges they are currently facing. The event begins with individual brainstorming of relevant topics\, followed by a plenary session to set the agenda. Afterwards parallel breakout sessions are formed per topic with experts to give advice and facilitators to guide the conversation. Finally\, all the learnings are shared in a closing plenary session. \nDuring the event\, founders and CTOs can gather new insights from the advice of experts and the experiences of their peers\, build new strong connections and share their own experiences with others in the industry. In addition\, the Dutch UNconference on AI is an excellent opportunity for networking with like-minded individuals. \nProgramme\n12:45 – 13:00  Walk in\n13:00 – 13:30  Lunch\n13:30 – 13:45  Welcome & Introduction\n13:45 – 14:30  Set Agenda\n14:30 – 16:30  Three breakout sessions  (40min per session)\n16:30 – 16:45  Plenary Session: Share what we’ve learned\n16:45 – 17:45  Network drinks \nOur Experts \nDavid Beijer Director Innocubes\, Entrepeneur. Expert on Entrepreneurship\, Nonprofits\, Renewable Energy\, and Decision Making. \nWouter Robers TechExpert at Yes!Delft Inventor\, Innovator\, Entrepreneur. Expert on Entrepreneurship\, Innovations\, Design\, and Scale ups. \nLotte Vandewalle HR Specialist at YES!Delft. Expert on Scaling and Human Resource Management. \nVenkatesh Chandrasekar\, Business Developer AI at TU Delft. Expert on Entrepreneurship\, Startup Development\, and AI. \nDr. Stefan Buijsman\, Assistant Professor TPM TU Delft. Expert on Ethics and AI. \nIrene Otten-Reynhout\, Legal Team Innovation & Impact Centre. Expert on Legal and IP. \nDr. Avishek Anand\, Associate Professor at the Web Information Systems group TU Delft. Expert on Technical AI. \nJelle Post\, Investment Manager at Delft Enterprises. Expert on Investments and Funding with a focus on Software-related Spin-offs.  \nThe detailed programme information can be found here.
URL:https://mondai.tudelftcampus.nl/en/event/the-unconference-ai/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/03/Poster-event.png
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230420T120000
DTEND;TZID=Europe/Amsterdam:20230420T133000
DTSTAMP:20260406T002938
CREATED:20230110T145340Z
LAST-MODIFIED:20230411T103244Z
UID:10000103-1681992000-1681997400@mondai.tudelftcampus.nl
SUMMARY:AI Lab Lunch: AiBLE Lab & AiDAPT Lab
DESCRIPTION:[placeholder] \nDuring this AI Lab Lunch the AiBLE Lab and the AiDAPT Lab will present themselves and their latest developments. \n(This event will be held in English) \nThe AiBLE Lab (Activating Intelligence in Building Lasting and Liveable Environments) aims to help reach effective\, transparent and lasting decisions and agreements. This means incorporating human feedback into the loop\, iteratively improving decision-making and driving behaviour changes. They focus on two important built environment challenges: energy transition and circularity. By using AI to augment human intelligence and support negotiation and deliberation continuously – while adapting to and driving human behaviour – they aim to close the policy-practice gap responsibly and inclusively. \nThe AiDAPT Lab (AI for a sustainable and resilient built environment) aims at creating new scientific paradigms towards a more reliable and sustainable built environment by bridging fundamental and applied AI. They bring together computer vision\, data science\, and decision optimization methods through the development of deep learning\, reinforcement learning\, and uncertainty quantification frameworks that help us analyze and synthesize decisions for architectural and structural systems. \nNote for TU Delft PhDs\nPer 4 seminars from the AI (-related) seminar series: Human-Centred Artificial Intelligence Systems (HCAIS) Deep Dive; and Delft AI Lab Lunches\, PhD candidates from partaking TU Delft faculties can earn 0.5 GSC for up to 1.5 GSC (category: Discipline Related Skills). Check with your local Faculty Graduate School if they offer this option for earning GSC; and with your supervisors if they accept our seminars on your Doctoral Education list. \nDelft AI Lab Lunch Series\nThe Delft AI Lab Lunch is a monthly meet-up hosted by the TU Delft AI Labs & Talent community at Mondai | House of AI. Every month\, two Delft AI Labs present their work and discuss challenges and developments made in their field. During these events\, you can participate\, learn\, make connections\, inspire and be inspired by and with the Delft AI Labs. This event is open for all interested.
URL:https://mondai.tudelftcampus.nl/en/event/ai-lab-lunch-aible-lab-aidapt-lab/
LOCATION:Mondai | House of AI – Delft\, Molengraaffsingel 29\, Delft\, 2629 JD
CATEGORIES:AI Lab Lunch
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/01/230420-AiBLE-AiDAPT-Featured-Image.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230413T154500
DTEND;TZID=Europe/Amsterdam:20230413T170000
DTSTAMP:20260406T002938
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
ATTACH;FMTTYPE=image/png:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/02/DALL·E-2023-02-20-13.15.24-Nederlandse-spoorwegen-in-mobility-picture-e1679998381208.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Amsterdam:20230411T164500
DTEND;TZID=Europe/Amsterdam:20230411T180000
DTSTAMP:20260406T002938
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
ATTACH;FMTTYPE=image/jpeg:https://mondai.tudelftcampus.nl/wp-content/uploads/sites/7/2023/02/AKLU-20220623-0094NEXT-AI--scaled.jpg
ORGANIZER;CN="Mondai | House of AI":MAILTO:mondai@tudelft.nl
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