RWTH Center for Artificial Intelligence

📣 Register now for the 5th edition of the Deep Learning School “Basic Concepts” (May 6 - 9 in Aachen) which includes ErUM applicable basic knowledge for #DeepLearning starters and an exciting group challenge. Places are limited! See you there ➡️ https://lnkd.in/ecVUn3X4

📣 🆕 Join us! We are looking for a Scientific Advisor (m/f/d) for the ErUM-Data-Hub: ℹ️ ➡️ https://lnkd.in/eDFEJtcB #job

🥳 It's 2025 and that means it's AI Week year in Aachen!!! 🥳   Every two years, the AI Center at RWTH Aachen University transforms Aachen into an AI Hub. This year, the Aachen AI Week will take place between 19 and 23 May and with the help of our partners and supporters the City of Aachen (Wirtschaftsförderung Aachen), digitalHUB Aachen e.V., and many more we will show the AI potential of the city and the region. Highlights: 🌟 Grand Opening Ceremony with prominent guests and an AI show 🌟 Events for students, researchers, industry, and general public 🌟 Hands-on activities for young, old, expert, or not, there will be something for everyone   📅 Save the dates and 👀 keep an eye on this space to find out more about contributors, events, and activities. 💬 And don't forget to spread the word. 🗨️ Wil van der Aalst | Holger Hoos | Sebastian Trimpe | Bastian Leibe | Julia Mann née Hoerner | Gerhard Lakemeyer | Katharina Isabel Franke

🌟 Join us for an inspiring talk on Self-Supervised Learning in Semantic Segmentation – Plus a POSTER SESSION & Networking! 🌟   We’re excited to welcome Professor Gijs Dubbelman from Eindhoven University of Technology to share his expertise on "Self-supervised Learning Techniques for Robust Semantic Segmentation of Images."   📅 Date: Monday, 3 February 2025 🕓 Time: 4:00 - 6:00 PM 📍 Location: RWTH main building, SuperC/Generali-Hall (in-person) & Online (live stream)   Event Highlights 4:00 - 5:00 PM: 🧑🏫 Prof. Dubbelman’s talk (Generali-Hall, live-streamed) 🎥 Live Broadcast Link: Sent after registration 5:00 - 6:00 PM: 🖼️ Poster Session (Ford-Hall): Explore exciting research projects and engage with presenters. 🍹 Networking (Foyer): Connect with peers while enjoying drinks and snacks.   About the Talk Prof. Dubbelman will showcase the latest breakthroughs in self-supervised and unsupervised learning techniques for semantic segmentation. Learn how combining Vision Foundation Models (VFMs) with Unsupervised Domain Adaptation (UDA) can improve performance, reduce inference times, and set new standards for safety-critical applications. Gijs is an Associate Professor at TU Eindhoven and leads the Mobile Perception Systems (MPS) lab. His research focuses on robust computer vision and deep learning technologies, with significant industry collaborations, including the TU Eindhoven Automated Driving Lab: AUDRI.   💡 Don’t miss the POSTER SESSION: ✅ Gain insights from cutting-edge AI research at RWTH Aachen University ✅ Interact with researchers ✅ Expand your network   👉 Register now to secure your spot and receive the live stream link! https://lnkd.in/exRsq2Jh We can’t wait to see you there! 🙌 Holger Hoos | Sebastian Trimpe | Bastian Leibe | Wil van der Aalst | Gerhard Lakemeyer | Heike Vallery | Joost-Pieter Katoen | Julia Mann née Hoerner | Leuven.AI | EAISI – Eindhoven Artificial Intelligence Systems Institute

In less than a week from now, the new edX course on #ObjectCentricProcessMining starts. If you are interested in the interplay between #ProcessScience (e.g.,  process management, automation, process modeling, and operations management) and #DataScience (e.g., data management, machine learning, and AI), this is your chance to learn about the latest developments! Register via https://lnkd.in/ejAgDFG3.   Learn how #ObjectCentric #ProcessMining can give you data-driven insights into your process. This course covers powerful techniques like process discovery, conformance checking, enhancement, and prediction, starting from #ObjectCentricEventData (like OCEL 2.0 and the Celonis Process Intelligence Graph). It also demonstrates how process mining enables #MachineLearning and #AI at an enterprise level. Process mining serves as a lens on event data, allowing us to identify, understand, and address performance and compliance problems.    The course is at an introductory level. Prior knowledge of math and computer science is beneficial but not necessary. For details, see https://lnkd.in/ejAgDFG3. RWTH Aachen University - Celonis - PADS - Process And Data Science - RWTH Center for Artificial Intelligence - Profile Areas of RWTH Aachen University #ProcessMining #AI #MachineLearning #ProcessIntelligence #BPM #BusinessProcessManagement

𝗦𝘁𝗶𝗹𝗹 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝗮 𝗡𝗲𝘄 𝗬𝗲𝗮𝗿'𝘀 𝗿𝗲𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻? How about joining our new edX course on 𝗢𝗯𝗷𝗲𝗰𝘁-𝗖𝗲𝗻𝘁𝗿𝗶𝗰 𝗣𝗿𝗼𝗰𝗲𝘀𝘀 𝗠𝗶𝗻𝗶𝗻𝗴 starting on January 13th? Register via https://lnkd.in/ejAgDFG3. 𝗜𝘁 𝗶𝘀 𝗲𝗮𝘀𝗶𝗲𝗿 𝗮𝗻𝗱 𝗺𝗼𝗿𝗲 𝗲𝗻𝗷𝗼𝘆𝗮𝗯𝗹𝗲 𝘁𝗵𝗮𝗻 𝗾𝘂𝗶𝘁𝘁𝗶𝗻𝗴 𝘀𝗺𝗼𝗸𝗶𝗻𝗴 𝗼𝗿 𝗹𝗼𝘀𝗶𝗻𝗴 𝘄𝗲𝗶𝗴𝗵𝘁 :-). Learn how #ObjectCentricProcessMining can give you data-driven insights into your process. This course covers powerful techniques like process discovery, conformance checking, enhancement, and process prediction, starting from #ObjectCentricEventData (like OCEL 2.0 and the Celonis Process Intelligence Graph).  The course also demonstrates how process mining enables #MachineLearning and #AI at an enterprise level. Process mining serves as a lens on event data, allowing us to identify, understand, and address performance and compliance problems. The course runs for nine weeks and is free ($99 if you want to get the official certificate at the end). See https://lnkd.in/ejAgDFG3 for more details. A big thanks to Lukas Liss and the MfL team at RWTH Aachen University for co-developing the course.

Job Alert! 🚨 Postdoc In Automated Machine Learning for Safe, Interpretable and Accessible AI for all Artificial Intelligence could be one of humanity’s most useful inventions, as long as it is safe and open to all. We are building an exciting new platform to help people build performant and safe AI models through natural language interaction. This mission will combine automated machine learning with agentic systems to design machine learning models for a wide range of use cases, interactively and according to user goals, while continually evaluating AI safety and explainability. The project consists of leading the development of an AutoML platform that integrates cutting-edge machine learning techniques with natural language interfaces. You will work closely with an exceptional team of engineers and researchers to design a system that makes AI more accessible, impactful, and responsible. Key responsibilities include: - Research and implement state-of-the-art AutoML, fine-tuning, transfer learning, and meta-learning; - Support a team of LLM experts to create intuitive natural language interfaces for AutoML; - Integrate AI safety and Explainable AI into interactive model design; - Collaborate to tackle challenging technical problems and publish research in top venues. By enabling people to build safe, interpretable AI models through natural language, your work will empower communities to address complex challenges and unlock new possibilities. Are you interested in this position? Be sure to apply now! 👇 https://lnkd.in/gndC2q-Y..

Unser Leben mit KI. Film der WDR ueber KI im Alltag. https://lnkd.in/eWwjxA8K

⚕️ One of the most useful and important use of AI is in medicine and health care. AI can support the acquisition of medical images, and their analysis and interpretation. Want to know how? 🗓️ Join us at our next AI colloquium event on 10 December where Alexander von Humboldt professor Daniel Rueckert will give examples of how AI can enable the early detection of diseases and improve personalised diagnosis. He will also discuss how AI solutions can be privacy-preserving while also providing trustworthy and explainable solutions to the clinicians. 🏛️ 💻 The talk will take place in a hybrid mode (in person in SuperC/RWTH and via Zoom) from 4 to 5 pm. 💬 🥪 Afterwards, there will be plenty of opportunities to ask our speaker questions and get to know the other attendees at the networking session with some drinks and nibbles (in person only). Don’t forget to register (also if you'll join us online): https://lnkd.in/eFTDhnQW Holger Hoos | Sebastian Trimpe | Wil van der Aalst | Bastian Leibe | Julia Mann née Hoerner | Gerhard Lakemeyer | Heike Vallery | Joost-Pieter Katoen

*Studienteilnehmende gesucht: Umfrage zu Einstellungen von Ingenieur*innen zu Künstlicher Intelligenz* Die Verwendung von Systemen der Künstlichen Intelligenz nimmt in vielen Fachdomänen zu, so auch in den Ingenieurwissenschaften. Um herauszufinden, wie Ingenieur*innen zu der Nutzung von KI-Systemen stehen, führe wir aktuell als Kooperation (RWTH Aachen University, Otto-von-Guericke-Universität Magdeburg, Karlsruher Institut für Technologie (KIT), Universität Kassel) eine Studie zu “Engineers’ Attitudes Towards AI” durch. Um ein aussagekräftiges Bild von den Einstellungen und Einschätzungen von Ingenieur*innen zu gewinnen, würden wir uns sehr freuen, wenn Sie sich etwa 10-15 Minuten Zeit nehmen könnten, um an unserer Umfrage teilzunehmen. Ihre Meinung und Perspektive sind für uns von großer Bedeutung! Hier finden Sie den Link zur Umfrage: https://lnkd.in/e9PP8H55 Wir wären Ihnen ebenso dankbar, wenn Sie diese Einladung an andere (angehende) Ingenieur*innen weiterleiten. Je mehr Teilnehmende wir erreichen, desto aussagekräftiger sind die Ergebnisse unserer Studie. Falls Sie Fragen zur Studie haben, können Sie uns gerne jederzeit kontaktieren. Vielen Dank für Ihre Unterstützung!