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SUMMARY:IDESSAI 2024: Fourth Inria-DFKI European Summer School on AI
DESCRIPTION:Large AI Models and Robotics and AI \n\n\n\n\n\n\n\nIDESSAI 2024 was designed for PhD students in all areas of AI\, including machine learning\, knowledge representation and reasoning\, search and optimisation\, planning and scheduling\, multi-agent systems\, natural language processing\, robotics\, computer vision\, and other areas. PhD students in other fields\, MSc students\, postdocs\, and researchers in academia and industry are also welcome. \n\n\n\n\n\nIDESSAI 2024 is the fourth yearly Summer School organized by the two renowned German and French AI institutes\, DFKI and Inria. It stands out from the crowd of offerings for AI students in several aspects: \n\n\n\n\nWe ensure a good balance in the number of participants and instructors: participants will have the opportunity to join a community of like-minded people\, and\, at the same time\, they will be in close contact with the experts.\n\n\n\nOur program features a line-up of courses focused on two themes\, Large AI Models\, and Robotics and AI\, which are at the forefront of socio-economic issues related to AI.\n\n\n\nOn top of the latest methodological advances and the shared vision of the future that both organizing institutes have to offer\, IDESSAI 2024 will be practically oriented. We will achieve this through hands-on courses and the involvement of industry practitioners and innovators.\n\n\n\nParticipants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions.\n\n\n\n\nLarge AI Models and Robotic and AI will take place in two parallel tracks. There will be plenty of opportunities to exchange between these two tracks at coffee breaks\, meals\, and social events\, as well as through joint cross-track sessions. \n\n\n\n\n\n\n\n\n\n\n\nRegistration deadline: August 23th\, 2024 \n\n\n\n\n\n\n\n\nGo to the event website\n\n\n\n\n\n\n\n\nFees & Registration\n\n\n\n\n\n\n\nThe fees are all-inclusive. Please keep in mind that an accommodation must be organised on your own and paid by your own. For more details and to register\, see https://idessai.eu/registration-2024/  \n\n\n\nTo ensure a good balance in the number of participants and instructors and maximize the chances of interaction\, the number of attendees is limited to 50 per track. Applicants will be selected on the grounds of diversity and benefit gained from attending the selected track. \n\n\n\n\n\n\n\nAgenda and confirmed speakers\n\n\n\n\n\nKeynotes\n\n\n\n\nWolfgang Wahlster (DFKI) – Industrial AI for Smart Manufacturing\n\n\n\nKarën Fort (Université de Lorraine) – Ethics in Natural Language Processing: don’t look up!\n\n\n\nKai Warsönke and Henrik Waschke (Volkswagen) – Increasing product quality in the automotive industry through the Virtual Measurement Data Analysis (VMDA)\n\n\n\nXavier Hinaut (Inria) – BrainGPT: Tailoring Transformers into Cognitive Language Models\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTrack A: Large AI Models\n\n\n\n\nChristophe Cerisara (CNRS) – Introduction to Large Language\n\n\n\nMalte Ostendorff (Deutsche Telekom) – Training Data for Large Language Models\n\n\n\nChristophe Cerisara (CNRS) – Efficient LLM training\n\n\n\nMariya Toneva (MPI) – Relating LLMs to human brains\n\n\n\nJindong Gu (Google Deep Mind) – Responsible Generative AI\n\n\n\nMarc Lelarge (Inria) – LLMs for code\n\n\n\nGerit Großmann and Islam Mesabah (DFKI) – Language Models and Structured Knowledge in AI\n\n\n\nAlexandre Défossez (Kyutai) – Auto-regressive modeling of discrete audio tokens\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTrack B: Robotics and AI\n\n\n\n\nDaniel Porta (DFKI) – Digital twins for AI-based industrial applications\n\n\n\nPia Bideau (Inria) – Navigating Together: Integrating Analytical and Learning-Based Approaches for Distance Estimation\n\n\n\nMarie-Odile Berger (Inria) – AI for computer vision: using high level features for localization\n\n\n\nXiaomei Xu – Hands-On Robotic-Course – Multi-Robot Simulation using Siemens Tecnomatix\n\n\n\nMartin Suda and Mikolas Janota (CIIRC Prague) – Powering Logic-Based Reasoning with Machine Learning and Vice Versa?\n\n\n\nTim Schwartz (DFKI) – Practical Tour through the German-Czech Innovation Lab for Human-Robot Collaboration in Industrie 4.0 (MRK 4.0 Lab)\n\n\n\nMaurice Rekrut and Marc Tabie (NEARBY/DFKI) – The NEARBY Project – Variabilities in Brain-Computer Interfaces – Towards applying BCIs in real-world applications\n\n\n\n\n\n\n\n\nWithin the Track B\, do not miss the RICAIP Day with great speakers coming from our partner organisations – DFKI\, CIIRC CTU and ZeMA: \n\n\n\n\n\n\n\nTrack B: RICAIP – Day\n\n\n\n\n\n\n\n\n\n\n\nThursday\, September 12\, 2024 \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nWe are very pleased that RICAIP can be part of the programme of such an event. Join us on an engaging day focused on robotics and innovation at ZeMA Saarbrücken. The event will feature hands-on experiences and insightful tours designed to showcase the cutting-edge advancements in human-robot collaboration. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nXiaomei Xu \n\n\n\nZeMA \n\n\n\n\n\n\nHands-On Robotic Course \nIn the 90-minute “Hands-on Robotik-Kurs”\, we divide the group activity into two segments. The first segment\, lasting 30 minutes\, provides a Quick Guide for Siemens Tecnomatix (Software User Interface and basic function). This guide explains how to build a virtual environment for robotic simulation applications in welding\, deburring\, and painting. The second segment\, lasting 60 minutes\, involves robot path planning based on the manufacturing geometry for welding\, polishing and painting processes. \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nTim Schwartz \n\n\n\nDFKI \n\n\n\n\n\n\nRobotics-Lab Tour\nIn this tour\, we will show you around in our german-Czech Innovation Lab for Human-Robot Collaboration in Industrie 4.0\, or MRK 4.0 Lab for short. As the name implies\, we focus on Human-Robot Collaboration. In extension we also deal with human-robot communication\, the orchestration of hybrid teams (i.e. teams consisting of humans\, robots and software agents) and practical applications of Industrial AI\, Asset Administration Shells\, Digital Twins and general Industrie 4.0 topics. Human-Robot communication is not necessarily limited to spoken or written language\, but includes all sorts of modalities: from more traditional control units\, over manual teach-in to Augmented and Virtual Reality etc. We will show you practical examples from different projects\, we are currently working on or have been working on in the past\, encouraging questions and discussions throughout the whole experience.  \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nMartin Suda \n\n\n\nCIIRC CTU \n\n\n\n\n\n\nPowering Logic-Based Reasoning with Machine Learning and Vice Versa?\nWe will provide an overview of the state-of-the-art technology in logic-based reasoning\, ranging from propositional satisfiability and satisfibility modulo theories to automatic and interactive theorem proving. The corresponding tools\, often referred to as “solvers”\, find many applications in areas such as hardware verification (chip design)\, software verification (program correctness) or automation of math. We will also discuss how machine learning and\, in particular\, neural networks enter the picture of the development of such solvers\, able to automatically help discover new guidance heurstics\, so necessary for fighting the inherent combinatorial explosion. Finally\, we will also contemplate the opposite direction for field synergy: Couldn’t logic-based tools help us eliminate errors from neural networks’ outputs\, most notably guard as against LLM hallucinations? \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nPhotos from the event\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nVenue\n\n\n\nIDESSAI 2024 is planned as a fully in-person event\, which will take place at the University of Saarland. Remote attendance will not be possible. \n\n\n\n\n\n\n\nOrganizers\n\n\n\nCo-organized by Inria and DFKI. \n\n\n\nOrganising TeamContact: idessai-support@dfki.de
URL:https://ricaip.eu/events/idessai-2024/
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