******************************************************************* Fourth Inria-DFKI European Summer School on AI (IDESSAI 2024) Large AI Models and Robotics and AI Saarbrücken, Germany September 9th - September 13th, 2024 https://idessai.eu/ Registration deadline: August 23th, 2024 *******************************************************************
IDESSAI 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:
We 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.
Our 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.
On 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.
Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions.
Large 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.
TARGETED AUDIENCE IDESSAI 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.
VENUE IDESSAI 2024 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible.
CONFIRMED SPEAKERS Keynotes: Wolfgang Wahlster (DFKI) – Industrial AI for Smart Manufacturing Karën Fort (Université de Lorraine) - Ethics in Natural Language Processing: don't look up! Kai Warsönke und Henrik Waschke (Volkswagen) - Increasing product quality in the automotive industry through the Virtual Measurement Data Analysis (VMDA) Xavier Hinaut (Inria) - BrainGPT: Tailoring Transformers into Cognitive Language Models
Large AI Models: Christophe Cerisara (CNRS) - Introduction to Large Language Malte Ostendorff (Deutsche Telekom) – Training Data for Large Language Models Christophe Cerisara (CNRS) - Efficient LLM training Mariya Toneva (MPI) - Relating LLMs to human brains Jindong Gu (Google Deep Mind) - Responsible Generative AI Marc Lelarge (Inria) - LLMs for code Gerit Großmann und Islam Mesabah (DFKI) - Language Models and Structured Knowledge in AI Alexandre Défossez (Kyutai) - Auto-regressive modeling of discrete audio tokens
Robotics and AI: Daniel Porta (DFKI) - Digital twins for AI-based industrial applications Pia Bideau (Inria) - Navigating Together: Integrating Analytical and Learning-Based Approaches for Distance Estimation Marie-Odile Berger (Inria) - AI for computer vision: using high level features for localization
RICAIP-Day Xiaomei Xu – Hands-On Robotic-Course - Multi-Robot Simulation using Siemens Tecnomatix Martin Suda und Miklas Janota (CIIRC Prague) - Powering Logic-Based Reasoning with Machine Learning and Vice Versa? Tim Schwartz (DFKI) – Practical Tour through the German-Czech Innovation Lab for Human-Robot Collaboration in Industrie 4.0 (MRK 4.0 Lab) Maurice Rekrut und Marc Tabie (NEARBY/DFKI) - The NEARBY Project - Variabilities in Brain-Computer Interfaces – Towards applying BCIs in real-world applications
FEES AND REGISTRATION Our 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/ (deadline: August 23th, 2024). To 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.
ORGANIZERS Co-organized by: Inria, DFKI Contact us: idessai-support@dfki.de.
Dear Sender,
I am currently out of the office and will not be checking emails regularly. I will return on September 9, and will respond to your message as soon as possible after that date.
Best regards, Charlott Jakob
On 29 Jul 2024, at 11:47, simon.ostermann--- via Corpora corpora@list.elra.info wrote:
******************************************************************* Fourth Inria-DFKI European Summer School on AI (IDESSAI 2024) Large AI Models and Robotics and AI Saarbrücken, Germany September 9th - September 13th, 2024 https://idessai.eu/ Registration deadline: August 23th, 2024 *******************************************************************
IDESSAI 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:
We 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.
Our 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.
On 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.
Participants will be offered to the opportunity to present their work to each other in dedicated poster/demo sessions.
Large 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.
TARGETED AUDIENCE IDESSAI 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.
VENUE IDESSAI 2024 is planned as a fully in-person event, which will take place at the University of Saarland. Remote attendance will not be possible.
CONFIRMED SPEAKERS Keynotes: Wolfgang Wahlster (DFKI) – Industrial AI for Smart Manufacturing Karën Fort (Université de Lorraine) - Ethics in Natural Language Processing: don't look up! Kai Warsönke und Henrik Waschke (Volkswagen) - Increasing product quality in the automotive industry through the Virtual Measurement Data Analysis (VMDA) Xavier Hinaut (Inria) - BrainGPT: Tailoring Transformers into Cognitive Language Models
Large AI Models: Christophe Cerisara (CNRS) - Introduction to Large Language Malte Ostendorff (Deutsche Telekom) – Training Data for Large Language Models Christophe Cerisara (CNRS) - Efficient LLM training Mariya Toneva (MPI) - Relating LLMs to human brains Jindong Gu (Google Deep Mind) - Responsible Generative AI Marc Lelarge (Inria) - LLMs for code Gerit Großmann und Islam Mesabah (DFKI) - Language Models and Structured Knowledge in AI Alexandre Défossez (Kyutai) - Auto-regressive modeling of discrete audio tokens
Robotics and AI: Daniel Porta (DFKI) - Digital twins for AI-based industrial applications Pia Bideau (Inria) - Navigating Together: Integrating Analytical and Learning-Based Approaches for Distance Estimation Marie-Odile Berger (Inria) - AI for computer vision: using high level features for localization
RICAIP-Day Xiaomei Xu – Hands-On Robotic-Course - Multi-Robot Simulation using Siemens Tecnomatix Martin Suda und Miklas Janota (CIIRC Prague) - Powering Logic-Based Reasoning with Machine Learning and Vice Versa? Tim Schwartz (DFKI) – Practical Tour through the German-Czech Innovation Lab for Human-Robot Collaboration in Industrie 4.0 (MRK 4.0 Lab) Maurice Rekrut und Marc Tabie (NEARBY/DFKI) - The NEARBY Project - Variabilities in Brain-Computer Interfaces – Towards applying BCIs in real-world applications
FEES AND REGISTRATION Our 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/ (deadline: August 23th, 2024). To 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.
ORGANIZERS Co-organized by: Inria, DFKI Contact us: idessai-support@dfki.de. _______________________________________________ Corpora mailing list -- corpora@list.elra.info https://list.elra.info/mailman3/postorius/lists/corpora.list.elra.info/ To unsubscribe send an email to corpora-leave@list.elra.info
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Jakob, Charlott Frederike -
simon.ostermann＠dfki.de