BEGIN:VCALENDAR VERSION:2.0 PRODID:-//elias-ai - ECPv6.16.4//NONSGML v1.0//EN CALSCALE:GREGORIAN METHOD:PUBLISH X-WR-CALNAME:elias-ai X-ORIGINAL-URL:https://elias-ai.eu X-WR-CALDESC:Events for elias-ai REFRESH-INTERVAL;VALUE=DURATION:PT1H X-Robots-Tag:noindex X-PUBLISHED-TTL:PT1H BEGIN:VTIMEZONE TZID:Europe/Rome BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20230326T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20231029T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20240331T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20241027T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20250330T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20251026T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20260329T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20261025T010000 END:STANDARD BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:20270328T010000 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:20271031T010000 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20260610T150000 DTEND;TZID=Europe/Rome:20260610T163000 DTSTAMP:20260618T194417 CREATED:20260522T110219Z LAST-MODIFIED:20260522T110607Z UID:12161-1781103600-1781109000@elias-ai.eu SUMMARY:Generative AI for Climate and Weather - Session with Claire Monteleoni DESCRIPTION:Keynote Abstract\n Generative AI for Climate and Weather\n The stunning recent advances in frontier AI models rely on cutting-edge\, generative deep learning algorithms and architectures trained on massive amounts of text\, image\, and video data. With different training data\, these algorithms and architectures can benefit a variety of applications for addressing climate change. As opposed to text and video\, the relevant training data includes weather and climate data from observations\, reanalyses\, and even physical simulations. \n Many applications aimed at addressing climate change hinge on fundamental challenges of data fusion\, interpolation\, downscaling\, and probabilistic domain alignment. Claire Monteleoni will provide a survey of recent work developing generative AI methods for these problems\, with applications including weather forecasting\, climate model emulation and scenario interpolation\, and renewable energy planning. \n \n\n \n\n \n Spotlight on DiverseCareer Trajectories\n About the Series\n Many are the young scientists wishing to pursue a career in research\, but decidedly less are those knowing in which key area they should specialise. This holds especially true in the fast-paced and developing AI field\, where economical\, societal and scientific stakes are high; it can thus be difficult for junior researchers to reconcile current AI research with long-term goals such as a sustainable and ethical use of AI for future generations. \n Furthermore\, while it is relatively easy to identify the PhD degree as a first step in this sometimes daunting journey\, the path forward is often unclear: what comes next after the PhD defence? How many postdoc positions is enough? How to best incorporate evolving research interests? \n This new series of seminars aims to support young researchers keen to embark on an AI journey\, by exploring diverse career paths within the double scope of Sustainable AI and AI for Sustainability. Sessions focus on internationally renowned speakers from diverse backgrounds whose past and/or present research strives to ensure a fair\, sustainable use of AI in various fields. Following a short keynote\, a discussion will follow where the guest researchers discuss different topics pertaining to their career of choice\, how they came to embrace it\, as well as the trials they faced along the way. \n \n \n\n \n \n \n \n Claire Monteleoni\n INRIA Paris · AI Research for Climate Change and Environmental Sustainability (ARCHES) · University of Colorado Boulder\n \n \n \n Date Tuesday\, 10 June 2026\n \n \n \n Time 15.00–16.30\n \n \n \n Platform Zoom Webinar\n \n \n Register for Webinar\n View Full Profile\n \n \n\n \n Who should attend?\n This seminar series is designed for PhD and Master students as well as postdoctoral researchers interested in building a career at the intersection of AI\, sustainability\, and ethics. \n Each session offers both a scientific keynote and an open career discussion — a rare opportunity to learn from diverse\, internationally recognised research trajectories. URL:https://elias-ai.eu/event/generative-ai-for-climate-and-weather-session-with-claire-monteleoni/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/05/Session_with_ClaireM.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20260520T150000 DTEND;TZID=Europe/Rome:20260520T163000 DTSTAMP:20260618T194417 CREATED:20260507T152857Z LAST-MODIFIED:20260522T105326Z UID:11995-1779289200-1779294600@elias-ai.eu SUMMARY:Geometric Alignment in AI: From Optimal Transport to Efficient and Robust Algorithmic Solutions — Session with Laetitia Chapel DESCRIPTION:Keynote Abstract\n Geometric Alignment in AI: From Optimal Transport to Efficient and Robust Algorithmic Solutions\n The concept of alignment has emerged as a central theme in contemporary artificial intelligence (AI)\, encompassing multiple interpretations. At a high level\, alignment refers to ensuring that AI systems behave in accordance with human values\, norms\, or ethical constraints — a perspective that underpins much of the recent discourse on AI safety. \n In a more technical sense\, alignment involves establishing correspondences between mathematical or computational objects\, such as aligning representations from different models\, data distributions\, or model outputs across domains. Optimal Transport often serves as a key component in these alignment measures\, offering a robust and versatile framework for complex comparisons. \n In this talk\, Laetitia Chapel will present contributions aimed at making Optimal Transport computationally efficient and robust\, with a particular focus on structured data. By developing principled\, geometry-aware\, and data-efficient approaches to alignment\, she addresses problems where insight\, structure\, and theory take precedence over brute-force computation. \n \n\n \n\n \n Spotlight on DiverseCareer Trajectories\n About the Series\n Many are the young scientists wishing to pursue a career in research\, but decidedly less are those knowing in which key area they should specialise. This holds especially true in the fast-paced and developing AI field\, where economical\, societal and scientific stakes are high; it can thus be difficult for junior researchers to reconcile current AI research with long-term goals such as a sustainable and ethical use of AI for future generations. \n Furthermore\, while it is relatively easy to identify the PhD degree as a first step in this sometimes daunting journey\, the path forward is often unclear: what comes next after the PhD defence? How many postdoc positions is enough? How to best incorporate evolving research interests? \n This new series of seminars aims to support young researchers keen to embark on an AI journey\, by exploring diverse career paths within the double scope of Sustainable AI and AI for Sustainability. Sessions focus on internationally renowned speakers from diverse backgrounds whose past and/or present research strives to ensure a fair\, sustainable use of AI in various fields. Following a short keynote\, a discussion will follow where the guest researchers discuss different topics pertaining to their career of choice\, how they came to embrace it\, as well as the trials they faced along the way. \n \n \n\n \n \n \n \n Laetitia Chapel\n IRISA · Institut de Recherche en Informatique et Systèmes Aléatoires\n \n \n \n Date Tuesday\, 20 May 2026\n \n \n \n Time 15.00-16.30\n \n \n \n Platform Zoom Webinar\n \n \n Register for Webinar\n View Full Profile\n \n \n\n \n Who should attend?\n This seminar series is designed for PhD and Master students as well as postdoctoral researchers interested in building a career at the intersection of AI\, sustainability\, and ethics. \n Each session offers both a scientific keynote and an open career discussion — a rare opportunity to learn from diverse\, internationally recognised research trajectories. URL:https://elias-ai.eu/event/elias-series-on-ai-sustainability-laetitia-chapel/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2026/05/ELIAS-Series-on-AI-Sustainability-1-scaled.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20241002T090000 DTEND;TZID=Europe/Rome:20241002T180000 DTSTAMP:20260618T194417 CREATED:20240828T080200Z LAST-MODIFIED:20260429T125158Z UID:4129-1727859600-1727892000@elias-ai.eu SUMMARY:AI + Environment SUMMIT 2024 DESCRIPTION:Join the AI + Environment Summit: A Day to Innovate\, Inspire\, and Impact!\nAfter the incredible success of last year’s edition\, the AI + Environment Summit is back! Mark your calendars for October 2nd and join us at the Innovation Park in Dubendorf\, where we’ll come together to explore the intersection of artificial intelligence and environmental sustainability. \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   \nWhat’s in Store?Prepare for a full day of thought-provoking presentations\, dynamic panel discussions\, and a diverse poster session showcasing cutting-edge research. Enjoy lightning talks from industry leaders and selected startups who are at the forefront of AI-driven environmental solutions. Plus\, there will be numerous opportunities to network with professionals\, academics\, and enthusiasts passionate about harnessing AI for environmental impact. \nHow to Get Involved?Want to know more about the schedule\, speakers\, or how to contribute to the poster session? Visit our website at summit.biodivx.org for all the details. \nSpecial Opportunities for StudentsAre you a student? Thanks to our partner\, ETH Sustainability\, you can attend the summit for free! Just make sure to bring your valid student ID on the day of the event. \nAlready Have a Ticket to the AI + X Summit?If you already have a ticket to the AI + X Summit\, you can join our event at no additional cost! Simply register and bring your AI + X Summit ticket with you. \nDon’t miss this chance to be part of an inspiring day dedicated to leveraging AI for a sustainable future. See you at the Innovation Park in Dubendorf! \n \n Register here\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n Programme\n \n \n \n \n \n \n\n\n \n \n AI + Environment Summit Schedule\n \n \n\n\n \n \n \n Time\n Event\n \n \n \n \n 9:15am\n Arrival & Welcome with Croissants and Coffee\n \n \n 9:45am\n Introduction\n \n \n 10:00am\n Talks by various speakers\n \n \n 12:00pm\n Lunch break\n \n \n 1:00pm\n Workshops: “Farm to Fork” and “AI & Urban Planning”\n \n \n 2:00pm\n Talks by various speakers\n \n \n 3:30pm\n Lightning talks by industry and startups\n \n \n 4:00pm\n Coffee break: Industry speed dating & Poster session\n \n \n 4:45pm\n Pathway to impact: Inspirational talk\, Startup\, and Policy Communication\n \n \n 5:30pm\n Apéro\n \n \n \n\n\n\n \n \n \n \n \n Please note: The program is subject to updates. Check the official website for the latest information.\nFor more details\, visit the official website.\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n \n \n \n Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: October 2 \n Time: 9:00 - 18:00 \n Event Categories: Lectures & Seminars\, Summit \n Website\n Visit Event Website \n Organiser\n ETH AI CENTER \n \n Add to Calendar\n \n \n \n Venue\n Innovation Park Zurich \n Wangenstrasse 68 \n Dübendorf\, 8600 Switzerland \n View Venue Website \n \n \n \n \n \n \n\n \n © 2024 ETH AI CENTER. All rights reserved. URL:https://elias-ai.eu/event/ai-environment-summit-2024/ LOCATION:Innovation Park Zurich\, Wangenstrasse 68\, Dübendorf\, 8600\, Switzerland CATEGORIES:ELIAS Alliance,Lectures & Seminars,Summit ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/08/Screenshot-2024-09-25-at-10.32.39.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240227T170000 DTEND;TZID=Europe/Rome:20240227T180000 DTSTAMP:20260618T194417 CREATED:20240226T090615Z LAST-MODIFIED:20260429T130600Z UID:2745-1709053200-1709056800@elias-ai.eu SUMMARY:AI Excellence Lecture on Learning manipulation skills from instructional videos DESCRIPTION:Abstract: People easily learn how to change a flat tire of a car or perform resuscitation by observing other people doing the same task\, for example\, in an instructional video. This involves advanced visual intelligence abilities such as interpreting sequences of human actions that manipulate objects to achieve a specific task. Currently\, however\, there is no artificial system with a similar level of cognitive visual competence. In this talk\, I will describe our recent progress on learning from instructional videos how people manipulate objects and demonstrate transferring the learnt skill to a robotic manipulator. \nLecturer: Dr. Josef Sivic holds a distinguished researcher position at the Institute of Robotics\, Informatics and Cybernetics at the Czech Technical University in Prague where he heads the Intelligent Machine Perception team and the ELLIS Unit Prague. He received the habilitation degree from Ecole Normale Superieure in Paris in 2014 and PhD from the University of Oxford in 2006. After Phd he was a post-doctoral associate at the Computer Science and Artificial Intelligence Laboratory at the Massachusetts Institute of Technology. He received the British Machine Vision Association Sullivan Thesis Prize\, three test-of-time awards at major computer vision conferences\, an ERC Starting Grant and\, in 2023\, an ERC Advanced Grant. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \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 Event Footer\n \n\n\n\n\n\n \n \n \n Details\n Date: February 27 \n Time: 17:00 - 18:00 \n Event Tags: AI\, visualintelligence \n \n \n Add to Calendar\n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n \n\n \n \n Venue\n Location: ONLINE \n \n \n\n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/ai-excellence-lecture-on-learning-manipulation-skills-from-instructional-videos/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240130T170000 DTEND;TZID=Europe/Rome:20240130T180000 DTSTAMP:20260618T194417 CREATED:20240122T141121Z LAST-MODIFIED:20260429T130946Z UID:2104-1706634000-1706637600@elias-ai.eu SUMMARY:AI Excellence Lecture on Deep learning and Process Understanding for Data-Driven Earth System Science DESCRIPTION:Abstract: For a better understanding of the Earth system we need a stronger integration of observations and (mechanistic) models. Classical model-data integration approaches start with a model structure and try to estimate states or parameters via data assimilation and inverse modelling\, respectively. Sometimes\, several model structures are employed and evaluated\, e.g. in Bayesian model averaging\, but still parametric model structures are assumed. Recently\, Reichstein et al. (2019) proposed a fusion of machine learning and mechanistic modelling approaches into so-called hybrid modelling. Ideally\, this combines scientific consistency with the versatility of data driven approaches and is expected to allow for better predictions and better understanding of the system\, e.g. by inferring unobserved variables. This talk will elaborate on developments of this concept and illustrate its promise but also challenges with examples on biosphere-atmosphere exchange\, and carbon and water cycles from the ecosystem to the global scale. \nLecturer: Prof. Dr. Markus Reichstein  is Director of the Biogeochemical Integration Department at the Max-Planck-Institute for Biogeochemistry. His main research interests revolve around the response and feedback of ecosystems (vegetation and soils) to climatic variability with an Earth system perspective. Of specific interest is the interplay of climate extremes with ecosystem and societal resilience. He is addressing these topics with a combination of artificial intelligence and system modelling approaches to exploit the wealth of experimental\, ground- and satellite-based Earth observations. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \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 Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: January 30 \n Time: 17:00 - 18:00 \n Event Category: Lectures & Seminars \n \n \n Add to Calendar\n \n \n \n \n Website\n \n Deep Learning and Process Understanding for Data-Driven Earth System Science\n \n \n \n Venue\n Location: ONLINE \n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n View Organiser Website \n \n \n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/ai-excellence-lecture-on-deep-learning-and-process-understanding-for-data-driven-earth-system-science/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT BEGIN:VEVENT DTSTART;TZID=Europe/Rome:20240116T170000 DTEND;TZID=Europe/Rome:20240116T180000 DTSTAMP:20260618T194417 CREATED:20240108T130849Z LAST-MODIFIED:20260429T131101Z UID:1452-1705424400-1705428000@elias-ai.eu SUMMARY:AI Excellence Lecture on Hybrid & Causal Machine learning in the Earth sciences DESCRIPTION:Abstract: Most problems in Earth sciences aim to do inferences about the system\, where accurate predictions are just a tiny part of the whole problem. Inferences mean understanding variables relations\, deriving models that are physically plausible\, that are simple parsimonious\, and mathematically tractable. While machine learning models excel as approximators\, they often disregard fundamental physics laws\, compromising consistency and confidence. To address these challenges\, we propose exploring the interplay between domain knowledge and machine learning. Physics-aware and hybrid machine learning models are seen as necessary steps toward understanding the data-generating process\, with causality offering significant advancements. I will discuss recent hybrid and causal machine learning methodologies to attain consistent and explainable results. This work outlines a collective\, long-term AI agenda for developing algorithms that can discover knowledge in the Earth system. \nLecturer: Professor Gustau Camps-Valls is a Full Professor in Electrical Engineering at the Universitat de Valencia. He is an expert in machine learning  algorithms for geosciences and remote sensing data analysis\, having published extensively. He has a Ph.D. in Physics and is an IEEE Distinguished Lecturer. He has received two European Research Council (ERC) grants and holds a Hirsch’s index h=88 (Google Scholar). He is also a Highly Cited Researcher since 2020. Gustau has achieved significant recognition with numerous awards and honors\, including IEEE Fellow (2018)\, ELLIS Fellow (2019)\, Fellow of the European Academy of Sciences (EurASc)\, the Academia Europeae (AE)\, and the Asia-Pacific Artificial Intelligence Association (AAIA) all in 2021. \nAbout AIDA: The four ICT-48 networks (AI4Media\, ELISE\, HumanE-AI NET\, TAILOR) and the VISION project joined forces and\, under the joint initiative of VISION and AI4Media\, founded a new joint instrument to support a world-level AI education and research programme. \nThe International AI Doctoral Academy (AIDA) has been created for offering access to knowledge and expertise and attracting PhD talents in Europe. AIDA offers free\, top-notch AI Excellence Lecture Series\, featuring senior experts and promising juniors\, encouraging active participation\, and providing easy access through multiple channels \n🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series \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 Event Footer\n \n\n\n\n\n\n \n \n Details\n Date: January 16 \n Time: 17:00 - 18:00 \n Event Category: Lectures & Seminars \n \n AI\n ML\n \n \n \n Add to Calendar\n \n \n \n \n Website\n \n Hybrid Causal Machine Learning in the Earth Sciences\n \n \n \n Venue\n Location: ONLINE \n \n \n Organiser\n AIDA – Artificial Intelligence Doctoral Academy \n View Organiser Website \n \n \n \n © 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved. URL:https://elias-ai.eu/event/hybrid-causal-machine-learning-in-the-earth-sciences/ LOCATION:ONLINE CATEGORIES:Lectures & Seminars ATTACH;FMTTYPE=image/png:https://elias-ai.eu/wp-content/uploads/2024/02/7-1.png END:VEVENT END:VCALENDAR