elias-ai

ELIAS & IRCAI at GITEX Europe 2025: Workshop on Responsible AI and SDG Innovation
2025-05-21 08:00 - 2025-05-23 17:00 (Europe/Rome) | GITEX Europe 2025, Berlin, Germany
ELIAS & IRCAI at GITEX Europe 2025: Workshop on Responsible AI and SDG Innovation

From 21 to 23 May 2025, the ELIAS project will be actively represented at GITEX Europe in Berlin, one of the largest industry–government–research gatherings focused on digital transformation and emerging technologies. In collaboration with the International Research Centre on Artificial Intelligence (IRCAI), ELIAS will contribute to a range of activities centered around Responsible AI and innovation for the Sustainable Development Goals (SDGs).

Workshop: Responsible AI in Practice

On Thursday, 23 May, from 10:00 to 11:00, ELIAS and IRCAI, partnering with AI in Africa, will host a hands-on workshop entitled: “Responsible AI in Practice: Bias Testing, Privacy and Compliance”.

The session, taking place in the Training Room at GITEX Europe, is open to registered participants and will explore key aspects of responsible AI development, including:

Testing and mitigating algorithmic bias
Ensuring privacy and data protection
Navigating compliance with EU AI regulations
Presenting tools and outputs developed within the ELIAS project

This tutorial will also serve as a platform to disseminate ELIAS research and showcase practical use cases, reinforcing the project’s commitment to ethical, lawful and robust AI systems.

ELIAS in Panels and AI & SDG11 Innovation Activities
In addition to the workshop, ELIAS will be represented in other key moments of the GITEX Europe programme:

On 21 May at 16:00, 10 selected startups and SMEs will pitch their solutions on stage, following a competitives election process supported by IRCAI and AI in Africa partners. These innovators will also benefit from booth space and access to the GITEX investment programme throughout the event.
Panel discussions focused on AI for Resilient Cities and Communities, aligned with SDG 11, where ELIAS will contribute to the debate on AI’s role in the resilience and sustainability of cities and communities
AI & SDG11 SME Competition Award Ceremony, taking place on 23 May at 16:00, where Joao Pita Costa from ELIAS will be part of the jury, helping evaluate innovative AI-driven solutions from across Europe and beyond.

GITEX Europe: A New Hub for Innovation and Investment
Making its debut in Berlin, GITEX Europe 2025 is bringing together 600 leading investors from over 50 countries, including some of Europe’s most active venture firms scouting disruptive startups. The event features a concierge-style matchmaking service connecting investors with over 750 exhibiting global startups, tailored to their interests, investment focus, and growth stage.
With a strong emphasis on co-investment opportunities, strategic partnerships, and fundraising collaborations, GITEX Europe presents a unique opportunity for participants—including ELIAS-backed innovators—to showcase their work at the intersection of cutting-edge technology and responsible AI development.

International Research Centre on Artificial Intelligence (IRCAI)
The International Research Centre on Artificial Intelligence (IRCAI), established under the auspices of UNESCO, is dedicated to applying cutting-edge science and advanced digital technologies to solve global challenges. IRCAI conducts both theoretical and applied research in artificial intelligence (AI) to support sustainable development, focusing on key Sustainable Development Goals (SDGs) such as quality education, gender equality, economic growth, and climate action. The Centre also works on developing open AI solutions, providing policy support, and fostering multi-stakeholder cooperation, particularly in the Global South. Through its research, capacity-building initiatives, and advocacy efforts, IRCAI aims to promote ethical, transparent, and inclusive AI development to address societal challenges and contribute to a more sustainable future.
IRCAI is part of the Jozef Stefan Institute, one of the members of the ELIAS consortium using LLMs to explore multi-agent simulations and research on cognitive bias.

Details
Date: 21 to 23 May 2025
More Information:
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Venue
Messe, Messedamm 22, 14055 Berlin, Germany

ELIAS 1st Open Call: Q&A Session
2025-03-26 10:00 - 11:00
ELIAS 1st Open Call: Q&A Session

Are you interested in applying for the ELIAS 1st Open Call and have questions about the process? Join our live Q&A session to get all the details, clarify any doubts, and learn how your AI-driven project can secure up to €60,000 in funding for sustainability and societal impact.
📅 When? March 26, 2025 – 10 AM (CET)🔗 Join us on Zoom: Click here
This open session is your chance to connect directly with the ELIAS team, understand eligibility requirements, and explore how AI can drive positive change. No registration is needed—just join the call and get your questions answered!

ELIAS Open Call Presentation - DOWNLOAD

Join us

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ELLIS Winter School 2025 on Foundation Models (FoMo)
2025-03-18 08:00 - 2025-03-21 17:00
The ELLIS Unit Amsterdam is excited to announce the 2nd ELLIS Winter School on Foundation Models in 2025. This year we have 250 seats available. Secure your spot!
The FoMo presents a valuable opportunity to explore the intricacies of foundation models and to highlight how Europe is establishing its own path beyond the widely-known Big Tech narrative. Notable insights and innovative approaches are emerging from Europe in both academia and industry. Thus, one of the main objectives of this winter school is to highlight these perspectives and provide a thorough understanding of how Europe is shaping its research agenda with unique directions while fostering community collaboration. Participants can expect a diverse lineup of speakers, including Tim Rocktäschel (UCL and Google Deepmind), Amir Zamir (EPFL), and Fahad Khan (MBZUAI, Linköping University Sweden)– more to be announced soon, and the opportunity to engage with like-minded individuals.

Format
The program’s composition remains consistent with 2-3 lectures per day. This year, reading sessions are added to the daily programs of the ELLIS Winter School, which allow the participants to dive deep into different foundation model topics. The late-afternoon slots are allocated for free-form collaboration, which we encourage to provide time for the participants to exchange with like-minded participants and prototype a novel idea. Social networking events are organized to officially give opportunities for the participants and speakers to get to know each other. The School also features a poster session showcasing participants’ latest works on foundation models. Feedback from the 2024 FoMo highlights how this session inspires valuable insights among proactive participants.

Application and cost
Last year, we had 150 participants from 90 different institutions and 40 different nationalities, and we are excited to see an even greater diversity this time. Preference will be given to ELLIS PhD candidates and postdoctoral researchers, but applications are welcome from individuals around the world.
If you are interested, kindly complete your application here, the deadline is 26 January 2025 at 23:59 CET.

Register now!

The fee for participating in the winter school will be
MSc and PhD students: 350€Industry/ startup/ other participants: 550€The fees cover logistic costs, coffee breaks, lunch, and social activities (travel and accommodation are self-organized). The fee can be waived for applicants from underrepresented backgrounds who require financial assistance (see application form).
For more information, visit the official website.

2024 ELLIS Winter School
You can read the overview of the first ELLIS Winter School on Foundation Models in 2024 here.

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Details
Start Date: March 18, 2025 at 09:00
End Date: March 21, 2025 at 17:00
Location: Tolhuistuin, Amsterdam
More Information: Event Website

Venue
Tolhuistuin
Amsterdam, Netherlands

© 2025 Event Organisation. All rights reserved.

Theme Development Workshop on Sustainability & AI
2025-03-07 08:00 - 12:00
Theme Development Workshop on Sustainability & AI
Date & Time: March 7th, 2025, 9.00 – 13.00 (GMT +2)
Location: Bucharest, Romania (Hybrid Event)
Overview: Join us for the Theme Development Workshop on Sustainability & AI, a 4-hour hybrid event designed to explore the powerful intersection of Artificial Intelligence (AI) and Sustainability. This workshop will focus on how AI can address global environmental challenges, promote sustainable societies, and ensure trustworthy AI for individuals. The event will feature a series of 5 sessions, each with two 15-minute keynote presentations followed by interactive discussions and a Q&A segment.

Objectives:

Explore AI’s contributions to global sustainability.
Discuss AI’s role in creating sustainable societies and equitable solutions.
Examine how trustworthy AI can benefit individuals while advancing sustainability goals.
Foster collaboration between AI experts, sustainability professionals, and policymakers.
Address the ethical considerations in the development of AI for sustainability.

Agenda

Responsive Table

Time
Duration
Session name

09:00 – 09:10
10 mins
Welcome & Introductions

Opening remarks
Introduction to the workshop’s theme: AI and Sustainability
Overview of the sessions and objectives

Nicu Sebe (UNITN), Filareti Tsalakanidou (CERTH)

09:10-09:30
15 mins
Session 1: Regulatory and Ethics Aspects

Keynote: Marko Milosaljevic (University of Ljubljana, Slovenia)

5 mins
Q&A and Discussion

09:30-10:10
30 mins
Session 2: AI for a Sustainable Planet

Keynote: Saso Dzeroski (Jozef Stefan Institute, Slovenia)
Marius Leordeanu (National University of Science and Technology POLITEHNICA Bucharest, Romania)

10 mins
Q&A and Discussion

10:10-10:50
30 mins
Session 3: AI for a Sustainable Society

Keynote: Nicolò Cesa-Bianchi (University of Milan, Italy)
Ioana Manolescu (INRIA, France)

10 mins
Q&A and Discussion

10:50-11:10
20 mins

Break

11:10-11:40
30 mins
Session 4: Trustworthy AI for Individuals

Keynotes:

Lorenzo Baraldi (University of Modena and Reggio Emilia, Italy)
Nicu Sebe (University of Trento, Italy)

10 mins
Q&A and Discussion

11:40-12:00
20 mins
Session 5: Fostering the Next Generation of AI Talents

Keynotes:

Charlotte Delage (Institute Polytechnique of Paris, France)

5 mins
Q&A and Discussion

12:00-12:40
30 mins
Session 6: Entrepreneurship and Tech Transfer

Keynotes:

Nina Peters (University of Tubingen, Germany)
Isabelle Siegrist (ETH Zurich, Switzerland)

10 mins
Q&A and Discussion

12:40-12:55
15 mins
Conclusion & Wrap-up

Summary of key takeaways
Final remarks and next steps

Nicu Sebe (UNITN), Filareti Tsalakanidou (CERTH)

Privacy Notice: Pursuant to the EU Regulation No. 2016/679 (GDPR) and to the Privacy Policy for ELIAS event participants, we inform you that the event will be recorded and disclosed on the ELIAS project channels.

Details

Date: March 7, 2025
Time: 9.00 - 13.00 (GMT +2) (Hybrid Event)

Venue

UNSTPB Central Library
Room 2.1 on the Second Floor
Splaiul Independenței, 313
Bucharest, 060042
Romania

AI ethics and education for democracy: Interdisciplinary and International workshop @ AI ACTION SUMMIT
2025-02-06 08:00 - 17:00 | AI ACTION SUMMIT, Paris, France
AI ethics and education for democracy: Interdisciplinary and International workshop

Date: 6. 2. 2025
Time: 9:00 – 18:00 CEST
Location: CNRS Site Pouchet, 59 rue Pouchet, 75849 Paris cedex 17
How should we cultivate democracy in the age of artificial intelligence (AI)? How can we ensure that AI does not jeopardize democracy, now and for future generations, but rather helps to strengthen democracy and education for democracy?
Join this important side event with AI and ethics experts to discuss these pressing questions, which are as crucial as any technological advances, with insights from the Journal of Artificial Intelligence for Sustainable Development (JAISD). The event aims to deepen the discussion on the articles published or not yet published and to identify new avenues of research in a multicultural and multidisciplinary perspective.

Agenda

Time

Event

9:30 – 9:45

Workshop Opening, John Shawe-Taylor & Vanessa Nurock

9:45 – 10:00

Onwards to an Ethical and Bias Aware Education for Sustainability through AI, Joao Pita Costa, IRCAI

10:00 – 10:45

Democratization of Knowledge: Ethical Challenges and Social Responsibility in Info-Digitalization for Empowering Minority Groups in Chile – The Case of Indigenous Communities, Carolina Valdebenito Herrera, Central University of Chile

10:45 – 11:15

Coffee Break

11:15 – 12:00

Virtuous and Abusive Uses of AI in Information Dissemination, Jean-Gabriel Ganascia, Sorbonne University

12:00 – 12:30

General Discussion

12:30 – 14:15

Lunch

14:15 – 14:45

Artificial Intelligence in Education as a Threat to the Democratic Imagination, Jim Katz, Boston University

14:45 – 15:15

“Dare to Think” Education for Democracy with AI, Vanessa Nurock, Côte d’Azur University, CIS & UNESCO EVA Chair

15:15 – 15:45

Human-centric AI and Education, John Shawe-Taylor, IRCAI and UNESCO Chair on AI at University College London

15:45 – 16:15

Coffee Break

16:15 – 16:45

The Cultural Search: AI, Sustainability, and the Human Touch, Juliet Floyd, Boston University

16:45 – 17:15

Exploring the Ethics of Generative AI, Education, and Democracy, Wayne Holmes, University College London

17:15 – 18:00

Final Discussion and Conclusion

This workshop is co-organized by Vanessa Nurock, Professor of Philosophy at the Côte d’Azur University and CIS & UNESCO EVA Chair (Ethics of the Living and the Artificial), and John Shawe-Taylor, director of IRCAI and UNESCO Chair in Artificial Intelligence at the University College London, with the support of ELIAS, Center for Internet and Society at CNRS and the Interdisciplinary Institute for Artificial Intelligence (3iA) at the Côte d’Azur University.

AI Action Summit
The AI Action Summit, set to take place in Paris on February 10-11, 2025, is a pivotal event aimed at shaping the future of artificial intelligence (AI). With AI’s rapid advancements offering vast opportunities for economic growth, innovation, and social development, the summit will address both its potential and the associated risks, such as misinformation, bias, and ethical concerns. This high-level gathering will bring together government leaders, international organizations, academia, civil society, and the private sector to discuss key topics such as the future of work, innovation, trust, and global governance. The summit will launch concrete initiatives to ensure AI serves the common good, with a focus on inclusivity and sustainability, while fostering international collaboration for responsible AI development.

International Research Centre on Artificial Intelligence (IRCAI)
The International Research Centre on Artificial Intelligence (IRCAI), established under the auspices of UNESCO, is dedicated to applying cutting-edge science and advanced digital technologies to solve global challenges. IRCAI conducts both theoretical and applied research in artificial intelligence (AI) to support sustainable development, focusing on key Sustainable Development Goals (SDGs) such as quality education, gender equality, economic growth, and climate action. The Centre also works on developing open AI solutions, providing policy support, and fostering multi-stakeholder cooperation, particularly in the Global South. Through its research, capacity-building initiatives, and advocacy efforts, IRCAI aims to promote ethical, transparent, and inclusive AI development to address societal challenges and contribute to a more sustainable future.
IRCAI is part of the Jozef Stefan Institute, one of the members of the ELIAS consortium using LLMs to explore multi-agent simulations and research on cognitive bias.

Details

Date: February 6, 2025

Time: 9:00 – 18:00 CEST

More Information: View More Information

Venue

CNRS Site Pouchet, 59 rue Pouchet, 75849 Paris Cedex 17

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ELIAS-ELLIS-VISMAC Winter School 2025
2025-01-27 08:00 - 2025-01-31 17:00
Program Overview
The scientific program will run from 9 am to 5 pm, Monday to Friday, featuring lectures by ELLIS Fellows and prominent researchers from academia and industry. The lectures will cover topics such as large-scale foundation models, self-supervised and multi-modal representation learning, multi-modal learning for robotics, and machine learning for sustainable solutions. The program will also include tutorial sessions, and keynote addresses. Participants will have the opportunity to engage in a week-long project, gaining hands-on experience in model training under the guidance of Dr. Andrea Pilzer from the NVIDIA AI Technology Center, with access to NVIDIA’s advanced computing infrastructure. Social events will be held in Brunico and nearby areas, offering interactive networking opportunities with industry partners.

Register Here

Participant Limit
The event is open to PhDs, postdocs, fellows, scholars, members, and industry sponsors, with a cap of 100 participants. A limited number of spots will be reserved for local PhD students and those affiliated with CVPL, the Italian Association for Computer Vision, Pattern Recognition, and Machine Learning.

Program Schedule

Click here to download the program in pdf.

Speakers

Rita Cucchiara University of Modena and Reggio Emilia

Lamberto Ballan University of Padova

Andrea Cavallaro Idiap & EPFL

Alessio Del Bue Istituto Italiano di Tecnologia

Cees Snoek Univeristy of Amsterdam

Bjorn Ommer Ludwig Maximilians Universität München

Jakob Verbeek META

Justus H. Piater University of Innsbruck

Jiri Matas Czech Technical University

Vladislav Golyanik Max Planck Institute

James Fort META

Sergey Tulyakov Snap Inc.

Andrea Pilzer NVIDIA

Organising Committee

Prof. Oswald Lanz Free University of Bozen-Bolzano

Read more
Prof. Oswald Lanz is endowed professor at the Free University of Bozen-Bolzano since 2021, where he is leading the research in computer vision of the Data-driven AI macro-area and oversees the research-oriented developments of industrial research at Covision Lab. Previously, he was head of the Vision technologies unit at Fondazione Bruno Kessler, Trento. He received an MSc degree in mathematics and a PhD in computer science from the University of Trento. He published more than 80 articles in journals and conferences, was recipient of Amazon Machine Learning Research Award in 2020 and of the ACM Multimedia 2015 best paper.

Dr. Fabio Poiesi Fondazione Bruno Kessler

Read more
Dr. Fabio Poiesi is a Research Scientist at Fondazione Bruno Kessler, Trento, Italy. He received his PhD degree in Electronic Engineering and Computer Science from Queen Mary University of London (UK) in 2014. He served as Guest Editor in ACM TOMM and IMAVIS, and as Area Chair in IEEE ICPR 2020 and 2022. He participated in several European Projects as workpackage leader and as PI in JPI/CH SHIELD. He is author of more than 50 publications in journals and conferences (919 Cit., h-index 16). Fabio is an ELLIS member and is affiliated to the ELLIS Unit Trento.

Dr. Subhankar Roy University of Trento

Read more
Dr. Subhankar Roy is a postdoctoral researcher at University of Trento and an incoming Assistant Professor at University of Bergamo. The primary focus of his research is to equip deep learning models with better generalization capabilities under data distribution and semantic shifts. In particular, the main research areas include multimodal learning, domain adaptation, continual learning, and novel class discovery. He obtained his Ph.D. degree in Information and Communication Technology with cum-laude from the University of Trento, where he was advised by Prof. Elisa Ricci and Prof. Nicu Sebe. Prior to the doctoral degree, in 2018 he received the M.Sc. degree in Telecommunication engineering from the University of Trento.

Prof. Antonio Rodríguez-Sánchez Universität Innsbruck

Read more
Prof. Antonio Rodríguez-Sánchez is currently an Associate Professor in the Intelligent and Interactive Systems group of the department of Computer Science at the Universität Innsbruck (Austria). He was born in Santiago de Compostela (A Coruña), a beautiful city in the north-west of Spain. He completed his Ph.D. at the Center for Vision Research (York University, Toronto, Canada) on modeling attention and intermediate areas of the visual cortex under the supervision of Prof. John K. Tsotsos (Canada Research Chair) in 2010. He obtained the degree of M.Sc. in Computer Science at the Universidade da Coruña (Spain) in 1998. He received his B.Sc. in Computer Science at Universidad de Córdoba (Spain) with Honors. He is an ELLIS member and has published more than 70 publications (~1350 citations, h-index 17) in international journals and conferences in Machine/Deep Learning, Computer Vision, Medical image analysis, Computational neuroscience and Robotics.

Prof. Elisa Ricci University of Trento & Fondazione Bruno Kessler

Read more
Prof. Elisa Ricci is an Associate Professor at the Department of Information Engineering and Computer Science (DISI) at the University of Trento and the head of the Deep Visual Learning research group at Fondazione Bruno Kessler. She has published over 160 papers on international venues. Her research interests are in the areas of computer vision, robotic perception, and multimedia analysis. At UNITN, she is the Doctoral Program Coordinator in Information Engineering and Computer Science. She is an Associate Editor of Computer Vision and Image Understanding and Pattern Recognition. She is/was the Program Chair of ECCV 2024, ACM MM 2020 and the Diversity Chair of ACM MM 2022. She received the ACM MM 2015 Best Paper award and ICCV 2021 Honorable mention award. She is an ELLIS Fellow.

Prof. Nicu Sebe University of Trento and ELLIS UNIT Trento

Read more
Prof. Nicu Sebe is the director of the ELLIS Unit Trento and of the ELLIS program on Multimodal Learning Systems. He received the PhD from Univ. of Leiden, Netherlands in 2001 and has been Full Professor at the University of Trento since 2009. He was the General Co-Chair of the IEEE FG 2008 and ACM Multimedia 2013 & 2022 and a program chair of ACM Multimedia 2011 and 2007, ECCV 2016, ICCV 2017 and ICPR 2020. He has been several times Area Chair of CVPR, ACM MM, ICCV, ECCV, and others. Currently, he is the President of the Italian Association of CV, PR and ML and is a Fellow of IAPR: He has been PI of many EU and National projects and has published more than 500 articles. He is Associate Editor of IEEE TPAMI and the Editor in Chief of Computer Vision and Image Understanding journal. He is the coordinator of the ELIAS project (European Lighthouse of AI for Sustainability), one of the ELLIS EU Networks of Excellence.

Event Location and Experience

Event Location
The event will take place at the new convention area NOBIS, adjacent to the NOI Techpark Brunico, featuring conference rooms for 10-526 attendees. Just a 5-minute walk from the city center. NOBIS Website, NOI Techpark Website

NOBIS Event Space

NOI Techpark Brunico

Additional Venues
Some keynotes and discussions will be held at the LUMEN Museum of Mountain Photography, located at the summit of Kronplatz (2250m above sea level). Accessible by cable car from Brunico. LUMEN Museum Website

LUMEN Museum Exterior

LUMEN Museum Interior

Experience
Brunico, nestled in the South Tyrolean mountains and Dolomites, transforms into a winter wonderland and is a top spot for winter sports. Enjoy a special dining event in an alpine hut, followed by a keynote and industry talk amidst breathtaking landscapes.

Kronplatz by Night

Brunico, South Tyrol

Useful Links
Sudtirol Guest Pass

Lectures, materials & slides
Student projects
The School will offer students a unique opportunity to work on a project throughout the week, gaining hands-on experience in training models under the guidance of Dr. Andrea Pilzer, Senior Solutions Architect at the NVIDIA AI Technology Center in Italy. Participants will also have exclusive access to cutting-edge computing infrastructure provided directly by NVIDIA.

Accommodation
Ferienregion Bruneck-Kronplatz

Hotel Ander**** Bruneck – info@hotelander.com
Hotel Corso am Graben**** Bruneck – info@hotelcorso.com
Hotel Langgenhof**** Bruneck-Stegen – hotel@langgenhof.com
Hotel Mühlgarten**** St. Lorenzen-Stefansdorf – hotel@muehlgarten.com
Hotel Post**** Bruneck – info@hotelpost-bruneck.com
Hotel Rudolf**** Reischach – info@hotel-rudolf.com
Ferien- und Wellnesshotel Windschar**** Gais – info@windschar.com
Hotel Gasthof Jochele**** Pfalzen – info@jochele.it
Hotel Kristall**** Pfalzen – info@hotel-kristall.it
B&B Boutique Hotel Clara***s Reischach – info@clara-home.com
Hotel B&B Feldmessner***s Reischach – nur Ü/F – info@feldmessner.com
Hotel Amaten***s – Bruneck-Amaten – hotel@amaten.it
Gourmet- und Boutiquehotel Tanzel***s Pfalzen – info@tanzer.it
Hotel Martha*** Reischach – info@hotel-martha.it
Hotel Wochtla Buam*** Bruneck-Stegen – info@wochtla-buam.com
Hotel Enzian*** Gais-Uttenheim – info@enzian.it
Pension Pichlerhof** Bruneck-Luns – info@pichlerhof.info
Residence Grünbacher*** Pfalzen – info@gruenbacher.it
Gasthof Sonne** St. Lorenzen – info@gasthof-sonne.it
Garni Hattlerhof B&B** Bruneck-St. Georgen – nur Ü/F – info@hattlerhof.com
Garni Schorneck** Reischach – info@schorneck.com

Ferienregion Kiens

Hotel Kronblick**** Kiens – kronblick@kronhotels.com
Bonfanti Design Hotel**** St. Sigmund – info@bonfanti-hotel.com
Taubers Bio Vitalhotel**** St. Sigmund – info@taubers-vitalhotel.com
Hotel Elisabeth*** Kiens – info@hotel-elisabeth.it
Hotel Sonnenheim*** Hofern – info@sonnenheim.it
Hotel Sigmunderhof*** St. Sigmund – hotel@sigmunderhof.com
Landgasthof Steger*** St. Sigmund – info@landgasthof-steger.com
Gasthof Obermair** Ehrenburg – info@obermairhof.info
Gasthof Pizzeria Petra** St. Sigmund – info@pizzeriapetra.it
Pension Pichler** St. Sigmund – pension.pichler@gmail.com
Pension Siessl** Kiens – info@pensionsiessl.it

Ferienregion Olang

Hotel Alte Goste**** Oberolang – booking@alte-goste.com
Hotel Kronplatz***s Niederolang – info@hotel-kronplatz.com
Hotel Alp Cron Moarhof***s Mitterolang – info@alpcronmoarhof.com
Hotel Markushof***s Oberolang – info@markushof.it
Hotel Messnerwirt***s Oberolang – info@messnerwirt.com
Hotel Aichner*** Mitterolang – info@hotel-aichner.com
Hotel Christoph*** Geiselsberg – info@hotelchristoph.it
Hotel Rainegg*** Oberolang – info@hotelrainegg.it
Hotel Scherer*** Mitterolang – info@hotelscherer.com
Pension Pfarrwirt*** Niederolang – info@pfarrwirt.bz

How to reach us



By car
Exit A22 at Brennero and follow the indications for Bressanone / Val Pusteria. Take the E66 and keep following the directions for Brunico. WE ARE HERE.



By Taxi
For taxi services: +39 0474 410042.
Taxi Brunico



By Train
The main connection is via the Brenner Pass, linking Innsbruck (Austria) to Bolzano/Fortezza (Italy).

From Switzerland: Direct links from Zurich to Innsbruck.
From Vienna: Travel via Salzburg to Innsbruck or take a route through Lienz in East Tirol directly to Brunico.
From the South: Travel via Verona toward Innsbruck.

Once you arrive at Brunico station, the venue is just a 5-minute walk away. For train schedules, visit Trenitalia or Sudtirol Mobility.



By Flight
Nearby airports include:

Bolzano (Italy)
Bologna (Italy)
Innsbruck (Austria)
Munich (Germany)

Each airport offers train connections to Fortezza, from where you can easily reach Brunico.

Winter School Event Footer

Dates and Registration
Start: January 27, 2025 @ 8:00
End: January 31, 2025 @ 17:00
Registration:

- Early-bird (before 22/12/2024): 450 euro
- Standard (after 23/12/2024): 550 euro
- Virtual (until 24/01/2025): 150 euro

Click here to register.
Category: Winter School
Contact: vismac2025@gmail.com

Venue
NOBIS, adjacent to the NOI Techpark Brunico
Via Europa 9
39031 Brunico, Italy

© 2025 Winter School Organisation. All rights reserved. | Privacy Policy |

IDEAHACK 2024
2024-11-16 - 2024-11-17 | IDEAS NCBR, Chmielna 69, Varso Tower, Warsaw, Poland
Take Part in Poland’s First Sciencepreneurship Hackathon!
About IDEAHACK
IDEAHACK is the first hackathon organized by IDEAS NCBR under the European Lighthouse of AI for Sustainability (ELIAS) project. The mission of this event is to create a dynamic platform where business-minded individuals and scientists can connect, exchange ideas, and collaborate on solutions to real-world challenges. The focus is particularly on Artificial Intelligence (AI), with the aim of bridging the gap between science and entrepreneurship.

Task
Teams will be tasked with developing a platform that facilitates the search for individuals with specific competencies, fostering collaboration between research centers and business professionals.
At the heart of IDEAHACK lies a spirit of sciencepreneurship. We believe that the solutions developed during this event will help transform cutting-edge research into innovative, market-ready products that drive sustainable impact.
Prize
The winning teams will receive financial prizes. We will award three teams with a total of:

15,000 PLNfor 1st place
10,000 PLNfor 2nd place
5,000 PLNfor 3rd place

Participants
IDEAHACK is open to all hackathon enthusiasts, focusing on students and PhD candidates. We welcome participants passionate about AI and innovation and eager to solve real-world problems through technology. Whether you’re a coder, a designer, or a strategist, there’s a place for you at IDEAHACK.

Special requirements:

Teams must consist of a minimum of 3 and a maximum of 5 members.
Each team needs to have a Team Leader.
Don’t worry if you don’t have your team. Register, and we’ll match you with one on-site.

Agenda

Day 1 (November 16, 2024):

Day 2 (November 17, 2024):

10:00 AM – Registration
11:00 AM – Welcome & Special Guest Speech
12:00 PM – Hacking begins
03:00 PM – Mentors’ sessions
06:00 PM – Hacking continues

12:00 PM – Hacking ends & submissions
01:00 PM – Pitch deck
03:00 PM – Jury deliberation
03:30 PM – Award ceremony & closing remarks

Registration
Ready to take on the challenge? Registration will be open from October 2nd till October 20th! Secure your spot by signing up as an individual or as part of a team.
Space is limited to 50 participants, so don’t miss out on this opportunity to inspire and connect with like-minded individuals.
For more information, visit the official website.

Register now!

Jury & Mentors
Our jury comprises distinguished experts in AI, startups, and venture capital. They bring years of experience in their respective fields and will evaluate each project based on innovation, feasibility, and impact. Most of them will also act as mentors on the first day of the competition, providing guidance and support to ensure participants’ ideas are practical and groundbreaking.

Marek Dziubiński
DeepMarket.ai, Medicalgorithmics S.A.
Accomplished entrepreneur, scientist, and innovator. He founded DeepMarket.ai and Medicalgorithmics S.A., where he pioneered significant advancements in medical technology. With a Ph.D. in computer science, his expertise spans AI, digital signal processing (DSP), and time series analysis, particularly in financial, biomedical, and audio signals. He holds several U.S. and international patents and has authored multiple peer-reviewed publications, reflecting his deep commitment to advancing AI and DSP methodologies.

Wojciech Erdmann
ff Venture Capital

Seasoned management consultant with over 15 years of experience in digital transformation, strategy, and product management across multiple industries. He has served as a Venture Partner at ffVC and held leadership roles in startups, overseeing strategy, product development, and IT. His industry expertise spans FMCG, banking, real estate, automotive, pharmaceuticals, IT services, HR, and fitness & wellness.

Konrad Howard
Booksy
Co-founder and CTO/CPO/CIO of Booksy, one of the fastest-growing international startups, with over 30 million users and 120,000 businesses globally. Booksy currently ranks as the number one lifestyle app in 11 countries. Previously, he co-founded iTaxi, Poland’s first taxi-hailing app, and the software house SensiSoft. Huffington Post USA has recognized him as the “Most Innovative Web Site Of All Time” and has won awards like the American Design Awards and Golden Drum. He has also won the International Centre of Biocybernetics competition for his work in AI and robotics. He actively supports socially impactful projects, including Smartschool and ForActive, through business angel investments.

Marcin Ledworowski
Accenture

Marcin Ledworowski, MBA, is a digital innovator with over 25 years of experience in the financial and IT sectors. He led digital transformation at Bank Pocztowy (2020-2022), introducing Poland’s first biometric card and implementing CRM in the Azure cloud. Previously, as VP at BIK Group (2009-2020), he oversaw restructuring and business development. Co-founder of HomoDigital.pl. He lectures at WSB University and the French Institute of Management. Currently, he is a Senior Advisor at Accenture Poland, focusing on strategic consulting and digital transformation in the financial sector.

Karol Matczak
WUTIF ASI S.A
Investor and business angel, currently serving as the CEO of WUTIF ASI S.A., a VC fund affiliated with Warsaw University of Technology. He holds numerous international certifications in the investment sector and has led dozens of transactions across public and private markets. His expertise spans various investment activities, making him a key player in the venture capital landscape.

Tomasz Trzciński
IDEAS NCBR, Politechnika Warszawska, Tooploox
Leading computer vision and machine learning research figure. He heads the CVLab team at Warsaw University of Technology and the Zero-Waste Machine Learning in Computer Vision group at IDEAS NCBR. He holds the title of Professor of Engineering Science and serves as the Director of the ELLIS Unit in Warsaw. He is also a co-owner of Tooploox and co-founder of Comixify, blending academic excellence with entrepreneurial ventures in the tech industry.

IDEAHACK - FAQ Section

Frequently Asked Questions (FAQ)

Who can participate in IDEAHACK?

IDEAHACK is open to students, PhD candidates, and anyone passionate about AI and innovation.

How do I register?

You can register through our website. Fill out the registration form and secure your spot. Please find more in the Registration section.

Can I participate remotely?

No, IDEAHACK is an on-site event only.

What is the maximum team size?

Teams have to consist of a minimum of 3 to a maximum of 5 members. We encourage diverse teams with a mix of skills.

What should I bring?

Bring your laptop, chargers, and any other tools you might need to develop your project. We’ll provide the rest!

Is there a participation fee?

No, participation in IDEAHACK is free of charge.

Will food and drinks be provided?

Yes, meals and refreshments will be provided throughout the event.

Will accommodation be provided?

No, IDEAS NCBR does not provide accommodation. However, there will be a relaxation area in the office where you can bring a sleeping bag for a nap.

Are the organizers covering travel costs for participants attending the hackathon?

Unfortunately, the organizers do not cover travel expenses. Participants are expected to arrange and cover their transportation to the event.

How will mentoring work during the hackathon?

Mentors will be available to provide guidance and support on Saturday, November 16, from 3:00 PM until approximately 6:00 PM. Teams can consult them during designated hours.

What are the judging criteria?

Projects will be evaluated based on creativity, innovation, and feasibility. Detailed criteria will be shared at the beginning of the event.

Do I retain ownership of my project after the hackathon?

Ownership of the winning projects will be transferred to IDEAS NCBR. We aim to develop the platform further and eventually bring it to public use. More details about intellectual property can be found in IDEAHACK’s Terms and Conditions.

IDEAHACK - Contact & Rules

Contact

Do you have any questions or need more information? We’re here to help!
Email to the Organizers Team: ideahack@ideas-ncbr.pl
Follow us on LinkedIn and X for updates and announcements.

Rules and Regulations
We have established basic rules and regulations to ensure a fair and productive environment. These include guidelines on team formation, intellectual property rights, and code of conduct. Participants are expected to adhere to these rules throughout the event.
Read the complete rules and regulations.

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Details
Date: 16-17 November 2024
Location: IDEAS NCBR, Chmielna 69, Varso Tower, Warsaw, Poland

Venue
IDEAS NCBR
Chmielna 69, Varso Tower
Warsaw, Poland

© 2024 Event Organisation. All rights reserved.

AI Night Kick-Off & Launch of the ELIAS Alliance
2024-11-08 18:00 - 22:30 | Falling Walls Science House, Karl-Marx-Allee 34, Berlin, 10178, Germany
On November 8th, 2024, the Falling Walls AI Night in Berlin will feature the official introduction of the ELIAS Alliance.
Matthias Bethge, Director of the Tübingen AI Center and the driving force behind this initiative, will unveil eight inaugural ELIAS Nodes located in key European cities: Amsterdam, Barcelona, Cambridge, Copenhagen, Munich, Potsdam, Tübingen, and Zurich.
Rooted in excellence in AI, the ELIAS Alliance is dedicated to integrating value-creation literacy and future skills into academic curricula. This initiative aims to bridge talent between academia and business across Europe while supporting entrepreneurship and the development of foundation models.
From 7:00 to 9:30 PM, ELIAS Nodes, along with the “Open Sci” foundation model initiative and the “AI Launchpad” accelerator, will spotlight key activities every 15 minutes, showcasing their contributions to fostering innovation in the AI landscape.

On November 8th, 2024, the Falling Walls AI Night in Berlin will feature the official introduction of the ELIAS Alliance.
Matthias Bethge, Director of the Tübingen AI Center and the driving force behind this initiative, will unveil eight inaugural ELIAS Nodes located in key European cities: Amsterdam, Barcelona, Cambridge, Copenhagen, Munich, Potsdam, Tübingen, and Zurich.
Rooted in excellence in AI, the ELIAS Alliance is dedicated to integrating value-creation literacy and future skills into academic curricula. This initiative aims to bridge talent between academia and business across Europe while supporting entrepreneurship and the development of foundation models.
From 7:00 to 9:30 PM, ELIAS Nodes, along with the “Open Sci” foundation model initiative and the “AI Launchpad” accelerator, will spotlight key activities every 15 minutes, showcasing their contributions to fostering innovation in the AI landscape.
About the event
The Falling Walls AI Night, held on 8 November 2024 in Berlin, is part of the annual Falling Walls Science Week, which celebrates global scientific breakthroughs. This unique event attracts researchers, CTOs, and strategists, fostering interdisciplinary discourse.
Initiated by the Falling Walls Foundation, the event features competitions for emerging talents and science startups on 7 November. The Falling Walls Circle on 8 November allows global leaders to discuss grand challenges, culminating in the recognition of the Falling Walls Science Breakthroughs of the Year on 9 November. This gathering underscores Berlin’s status as a key hub for science and innovation.

Details

Date: November 8

Time: 18:00 - 22:30

Website: AI Night Kick Launch

Organiser

Falling Walls Foundation

View Organiser Website

Venue

Falling Walls Science House

Karl-Marx-Allee 34

Berlin, 10178 Germany

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AI + Environment SUMMIT 2024
2024-10-02 09:00 - 18:00 | Innovation Park Zurich, Wangenstrasse 68, Dübendorf, 8600, Switzerland
Join the AI + Environment Summit: A Day to Innovate, Inspire, and Impact!
After 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.

What’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.
How 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.
Special 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.
Already 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.
Don’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!

Register here

Programme

AI + Environment Summit Schedule

Time
Event

9:15am
Arrival & Welcome with Croissants and Coffee

9:45am
Introduction

10:00am
Talks by various speakers

12:00pm
Lunch break

1:00pm
Workshops: “Farm to Fork” and “AI & Urban Planning”

2:00pm
Talks by various speakers

3:30pm
Lightning talks by industry and startups

4:00pm
Coffee break: Industry speed dating & Poster session

4:45pm
Pathway to impact: Inspirational talk, Startup, and Policy Communication

5:30pm
Apéro

Please note: The program is subject to updates. Check the official website for the latest information.
For more details, visit the official website.

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Details
Date: October 2
Time: 9:00 - 18:00
Event Categories: Lectures & Seminars, Summit
Website
Visit Event Website
Organiser
ETH AI CENTER

Add to Calendar

Venue
Innovation Park Zurich
Wangenstrasse 68
Dübendorf, 8600 Switzerland
View Venue Website

© 2024 ETH AI CENTER. All rights reserved.

ELLIS Doctoral Symposium #EDS2024: AI & Sustainability
2024-08-26 - 2024-08-30 | Campus des Cordeliers – Sorbonne university, 15 rue de l'École-de-médecine, Paris, 75006, France
The ELLIS Doctoral Symposium (EDS) is coming back this summer and celebrates its fourth edition in Paris, France. Join us from August 26 to 30 for a week filled with science, networking opportunities, and croissants.

🎓 What is EDS?
The ELLIS Doctoral Symposium is the highlight of the year in the ELLIS PhD Program. It’s an annual conference for ELLIS PhD students and other PhD students to meet in person and share knowledge about machine learning. The main topic of this year is AI & Sustainability.

👥 What to Expect?
Poster & tooling sessions, keynote speakers, industry fair, social events, and more!

Important Dates

April 2: Applications open for ELLIS students/postdocs & those conditionally accepted into the program.
May 3: Applications close.
May 22: Acceptance emails are sent to eligible applicants (with payment instructions) + second round of applications opens for non-ELLIS participants.
June 5: Second round closes.
June 14: Acceptance emails are sent to eligible applicants (with payment instructions).
June 30: Deadline for payment (first and second round).

The EDS Mobility Grants
There are three different ways for students to obtain travel funding:

ELIAS: For participants employed by an ELIAS Beneficiary (see list in the terms and conditions). Limited funding is also available for non-ELIAS beneficiaries.
ELSA Grant: See this link for the terms and conditions and how to apply.
Sponsor Grant: G-Research, one of our silver sponsors, is offering a Mobility grant of 4000 euros to cover travel and accommodation for selected applicants. Contact Charles Martinez (charles.martinez@gresearch.com) with your CV and a short cover letter. Email title should be: “Request for EDS ELLIS travel fund”.

*Please note that double funding is not allowed.

EDS 2024: AI & Sustainability

Keynote Speakers

Rita Cucchiara
Learning, Unlearning, and Relearning

Abstract: The concept of “Learning, Unlearning, and Relearning” encapsulates a dynamic approach to knowledge acquisition and adaptation, crucial for both human cognition and artificial intelligence systems. Learning involves acquiring new information or skills, while unlearning refers to the process of discarding outdated or erroneous knowledge, and relearning entails reacquiring knowledge in a new or updated form. This process is not merely about forgetting but about restructuring understanding to accommodate new insights and perspectives. In machine learning and computer vision, unlearning presents unique challenges and opportunities. Machine unlearning refers to the ability to remove specific data from a model without degrading its overall performance. This capability is essential for addressing legal, ethical, and personalization issues. Techniques for unlearning in AI include the removal of data points, features, classes, or entire concepts from datasets. These methods aim to maintain model utility while ensuring the elimination of unwanted or harmful knowledge. Emerging methods in machine unlearning, such as weight filtering and low-rank class-wise unlearning, demonstrate promising results in maintaining model integrity while achieving desired unlearning outcomes. These techniques are evaluated through various metrics, including accuracy retention, activation distance, and Zero Retain Forgetting (ZRF) scores. Additionally, unlearning in multimodal spaces addresses the removal of sensitive or inappropriate content, enhancing the safety and ethical alignment of AI systems. The exploration of unlearning, especially in AI, paves the way for more robust, adaptable, and ethically sound models, capable of evolving in response to new data and societal norms. This ongoing research underscores the importance of unlearning and relearning as foundational components of both human and artificial intelligence development. During the seminar, some results carried out at UNIMORE within the EU project ELIAS will be presented and discussed.

Devis Tuia
Machine learning for Earth: monitoring the pulse of our Planet with sensor data, from your phone all the way to space

Abstract: We live an age full of data. In all areas of society, digital data is now abundant, but also unstructured and pretty much unexploited. Environmental science is no exception and the last years have seen an increase of use of digital sensing to observe an understand processes at work and their impacts of human activities. In this talk, I will present some recent research at the interface of machine learning and the geosciences, where satellite, drone and close sensing data were used to support mapping over land and sea, and even below the surface. I will then sketch a number of points of synergetic action necessary to strengthen such interface, a necessary step to jointly tackling the climate and biodiversity crisis.

Gaël Varoquaux
AI from tabular data to healthcare and society

Abstract: The talk will be on some lessons learned trying to develop AI for tabular data, central to all organizations, with the goal of being useful for healthcare and society. While much of the excitement is on machine learning, much of the work happens before and after. For tabular data, the bread and butter of every organization, extensive manual transformation or “data wrangling” is required before machine learning. I will discuss how we progressively rethought this process, eventually laying the ground of foundation models for tabular data. I will then discuss some considerations about machine learning in healthcare, and a broader picture on AI developments in society.

Caroline Therwath-Chavier
AI²: why Artificial Intelligence should be All Inclusive

Abstract: In today’s rapidly evolving technological landscape, the transformative potential of Artificial Intelligence (AI) is undeniable. However, as AI continues to revolutionize various industries and aspects of our lives, questions of inclusivity and equity have come to the forefront for practitioners. This presentation delves into the imperative of making AI all-inclusive, ensuring that its benefits are accessible to all segments of society. We will explore the ethical, social, and economic implications of AI exclusivity, emphasizing the need for diverse representation in AI development and deployment. Through case studies and real-world examples, we will highlight the tangible benefits of inclusive AI, from enhancing decision-making processes to fostering innovation and creativity. Moreover, the presentation will address the challenges and barriers to achieving inclusivity in AI, including biases in algorithms, lack of diversity in AI teams, and digital divides. By identifying these obstacles, we can formulate strategies to overcome them and create a more equitable AI ecosystem. Ultimately, AI² advocates for a future where Artificial Intelligence is not only powerful and innovative but also inclusive and accessible to everyone. By embracing diversity and promoting inclusion, we can harness the full potential of AI to address pressing societal challenges and build a better world for all.

Caroline is also the co-founder of the Paris meetup chapter of Women in Machine Learning and Data Science (WiMLDS).

David Rolnick
Tackling climate change with machine learning: An opportunity for application-driven innovation

Abstract: Machine learning is increasingly being called upon to help address climate change, from processing satellite imagery to modeling Earth systems. Such settings represent an important frontier for machine learning innovation, where traditional paradigms of large, general-purpose datasets and models often fall short. In this talk, we show how an application-driven paradigm for algorithm design can respond to problem-specific goals and incorporate relevant domain knowledge. We introduce novel techniques that leverage the structure of the problem (such as physical constraints and multi-modal self-supervision) to improve accuracy and usability across applications, including monitoring land use with remote sensing, designing chemical catalysts for the energy transition, and downscaling climate data.

Register here

EDS 2024: AI & Sustainability

Downloadable Resources
EDS Mobility Grant (ELIAS) – Application Form
EDS Mobility Grant (ELIAS) – Guidelines
EDS Reimbursement Report (ELIAS Beneficiary)
EDS Reimbursement Report (Externals)

Learn More
EDS 2024 Official Website
Summary of Last Year’s EDS Event
Learn About the ELLIS PhD Program

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Details
Start: August 26
End: August 30
Event Categories: Symposium, Workshops
Event Tags: eds2024, sustainableai, symposium
Website
Visit Event Website
Organisers
Institut Polytechnique de Paris
University of Tübingen

Venue
Campus des Cordeliers – Sorbonne university
15 rue de l'École-de-médecine
Paris, 75006 France

© 2024 Event Organisation. All rights reserved.

ELLIS / ELIAS HCML Workshop 2024
2024-06-27 09:00 - 22:00 | Scandic Grand Marina, Katajanokanlaituri 7, Helsinki, 00160, Finland
ELLIS Programs
In addition to ELLIS sites, a European network of top researchers working at locations throughout Europe is being established, and organized into ELLIS Programs. These Programs, directed by outstanding European researchers and including leading researchers as Program Fellows, focus on high-impact problem areas that have the potential to move the needle in modern AI.
The ELLIS Programs are inspired by the CIFAR Program model, and closely collaborate with the CIFAR LMB (Learning in Machines and Brains) Program. Each Program has a budget for 2-3 workshops/year to enable meetings of 10-15 Fellows plus guests for intensive scientific exchange. Workshops can be co-located with academic meetings (usually) held in Europe, or organised as stand-alone events, usually at (and with the support of) ELLIS unit sites.
ELLIS / ELIAS HCML Program

Help to ensure widespread benefits to, and acceptance from, the public by guaranteeing:
Transparency, clear accountability, interpretability and fairness of the algorithmic decisions
Amenable to legal and technical certification, accountability and verifiability.

Online attendees
Workshop participants can attend virtually on this Teams link. Keynote talks are broadcasted on this Youtube link.

This event is the annual workshop of the ELLIS Human-centric Machine Learning Program, hosted in Helsinki on the 27th of June 2024 and online as part of the ELISE Wrap Up Conference & ELLIS Community Event and it is also part of the ELIAS Horizon Europe project. The workshop is co-organised by ELISE.

Programme
This event will take place on the 27th of June, 2024, in Helsinki, Finland. Times are in EEST timezone (UTC+3).

Event Programme

Time
Description

9:00 – 9:10
Welcome

9:10 – 10:10

Keynote speech — Common to all workshops
Bernhard Schölkopf (MPI, ELLIS Tübingen): On open problems of (European) AI — Fennia II, Congress Centre

10:30 – 10:45

Introduction
(Adrian Weller, Plamen Angelov, Nuria Oliver)
Aims of the workshop:
- Share an update on ELLIS
- Understand what each fellow is working on
- Explore ways to collaborate
- Brainstorm about upcoming AI regulation + "existential risks" of AI

10:45 – 12:00

Future of Human-AI Interaction — Moderated by Guoying Zhao
20’ talk + 5’ Q&A
10:45 – 11:10: Nuria Oliver — Cognitive biases (onsite, ELLIS Alicante)
11:10 – 11:35: Krishna Gummadi — LLMs (MPI-SWS)
11:35 – 12:00: Elmira Yadollahi — Social robotics (onsite, KTH)

12:00 – 13:00
Lunch

13:05 – 14:35

Fairness/Transparency/Accountability — Moderated by Nuria Oliver
20’ talk + 5’ Q&A
13:00 – 13:35: Carlos Castillo (online, UPF)
13:35 – 14:10: Umang Bhatt (onsite, NYU)
14:10 – 14:35: Chris Russell — Making Fairness Work (onsite, University of Oxford)

14:35 – 15:00
Coffee break

15:05 – 16:05

Humans and AI
60’ Panel on the topic with
- Bert Kappen
- John Shawe-Taylor
- Nitin Sawhney

16:10 – 17:15

Plenary session + Keynote speaker — common for all workshops
Neil Lawrence (UoCambridge): The Atomic Human - Understanding Ourselves in the Age of AI — Fennia II, Congress Centre

18:00 – 22:00
Boat cruise + dinner

For more details, visit our website.

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Details
Date: June 27
Time: 9:00 - 22:00
Event Category: Workshops

Add to Calendar

Venue
Location: Scandic Grand Marina
Katajanokanlaituri 7, Helsinki, 00160 Finland

View Venue Website

© 2024 All rights reserved.

4th Community Workshop 2024
2024-06-26 08:00 - 2024-06-27 18:00 | Centre for Research and Technology Hellas – CERTH, Thessaloniki, Greece
26 – 27 June 2024Venue: Centre for Research and Technology Hellas – CERTHLocation: Thessaloniki, Greece
To celebrate four years of building excellence of AI research and foresighting the impact of the European Networks of Excellence Centres in AI and Robotics (AI NoEs), the Fourth Community Workshop 2024 aims to provide a forum for sharing ideas and best practices and sustaining collaborative activities beyond the NoEs’ lifetime.The event is open for a broader audience beyond the NoEs community – simply register for online attendance and join the exchanges with us!

The two-day 4th Community Workshop is hosted by CERTH and co-organised by all the NoEs, with one specific day on AI and education.
● 26 June 2024: NoE Community Workshop● 27 June 2024: AIDA Symposium “AI Education Beyond Borders”

The goal is to foster collaborations within the NoEs’ community and to discuss ways forward to maximise the impact of NoE research in 2025 – and beyond. This 4th Community Workshop builds on the previous events: the First ICT-48 Community Workshop held online in June 2021, a very fruitful Second ICT-48 Community Workshop held in Brussels in October 2022, and the Third Community Workshop in June 2023 Siena.

Registration (Online only)

Agenda

Organising Committee

Target Audience
Online Attendance: The workshop is designed specifically for the entire AI NoEs’ Community but is open to anyone interested. In this case, please register for an online participation only. This registration form can also be used by members of the NoEs community who cannot (for whatever reason) attend onsite. For remote listeners at the plenary sessions, the possibility of participation is unlimited across the broader community and beyond.
Onsite Attendance: Due to limited room capacity, the workshop is open to a given number of NoEs community members to attend on-site. To ensure a balanced group of in-person participants from NoEs stakeholders, each NoE will receive 8 tickets. A link to a special registration form will be emailed separately to NoEs coordinators and project managers so that they can decide on on-site participation for each NoE and distribute the link.
Also the representatives of the European Commision, ADRA, ADRA-e and AI4Europe are more than welcome and expected to come to Thessaloniki.

Live-Streaming on YouTube
If you missed out on registering for full online participation, you can watch our live stream on AI4Media Youtube:

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Details
Date: June 27
Time: 9:00 - 22:00
Event Category: Workshops

Add to Calendar

Venue
Location: Scandic Grand Marina
Katajanokanlaituri 7, Helsinki, 00160 Finland

View Venue Website

© 2024 Scandic Grand Marina. All rights reserved.

SheCodes MeetUp 2024
2024-06-19 16:30 - 18:30 | RICAIP Testbed Prague at CIIRC CTU Prague, Czech Republic, Jugoslávských partyzánů 1580/3, Prague, 160 00, Czech Republic
The SheCodes MeetUp is designed to foster personal interconnections and an informal and supportive environment where women from diverse STEM – Science, Technology, Engineering, and Mathematics – fields can connect, share, and inspire each other.

Our primary aim is to explore the pivotal factors that have positively influenced the decision to pursue studies or careers in AI, robotics, ICT, technology, and innovation. The initial moment and other motivations for staying in the field also remain at the forefront of our interest.

Any woman in the field can share her personal experience or even best practices implemented in her home institution or country. Through direct interactions, we aim to empower attendees and strengthen the network of women in STEM across Europe and beyond.
The immediate effect of this event, aimed mainly at establishing personal contacts and sharing positive stories, will be the collection of experiences and good practices that can serve at the personal, institutional and political level.

Event in a Nutshell:

Get to know like-minded women in your immediate vicinity, in Europe and on the other side of the globe!
The main topic: What has positively influenced your decision to pursue studies or careers in AI, robotics, ICT, technology, and innovations?What was the moment or action? Do you still remember it?
What motivated you to continue on this journey when you encountered something that got in the way of your set path? Overcoming obstacles, that’s what we want to talk about as well.

Setup of the event:

Each of you can be a speaker – just indicate this on the registration form, or you can take the floor during the event, depending on your mood.
Speakers/participants on site and online will see each other and take turns in speaking.
The event will NOT be live streamed to maintain an intimate atmosphere, but will be recorded.
Recordings will only be used for shorts and minutes of the proceedings.

Agenda
All times are in Central European Summer Time (CEST).

Event Agenda

Time
Event

16:00 – 16:30
Walk-in. Refreshments

16:30 – 16:40

Welcome and Opening Remarks
Introduction to the SheCodes MeetUp and how the event will be organised
Welcome word of the hosts (remotely):
VISION and NoEs by Beatrice Bozzao, Intellera Consulting, Italy
RICAIP by Tilman Becker, DFKI/ CIIRC CTU

16:40 – 17:00

Part I: Call for inspiring talks from women of any age and career stage in AI, robotics, ICT, and tech innovation!
Feel free to nominate your up to 5 min talk/interview!
We are delighted to give the floor also to:
Prof. Olga Štěpánková, CIIRC CTU
Head of the department Biomedical Engineering and Assistive Technology (BEAT)
Ing. Megi Mejdrechová, RoboTwin, CTO and co-founder of a start-up that brings no-code robotics to the manufacturing industry.

17:00 – 17:30

Part II: Roundtable – Speak up, be heard!
Any participant is welcome to share her story – onsite or online, simply join our discussion, introduce yourself and tell us your story, experience, motivation, and thoughts!

17:30 – 17:40

Do not miss the opportunities provided within our ecosystems:
ROBOPROX Grant for Young Female Talents by Karla Štěpánová, CIIRC CTU
EIT Manufacturing RIS Leaders Call 2024 by Anna Tahovská, CIIRC CTU

17:40 – 18:30

Networking Opportunities with refreshments
Informal networking sessions to encourage open dialogue and connection among participants.
The hybrid format ensures both in-person and online attendees can interact seamlessly.

18:30

Closing RemarksEncouragement for continued connection and collaboration among participants.

Both in-person and online participation is welcome:

Students: girls & women currently pursuing studies in STEM fields, particularly those interested in AI, ICT, and technological innovations – onsite mainly from the Czech Technical University and other Czech universities.
Researchers: Women engaged in research at technical universities and institutions, seeking to share insights and connect with peers and professionals.
Business Professionals: Women working in STEM industries who are eager to share their career journeys, challenges, and successes.
International Participants: Women from across Europe and beyond who wish to engage in a global dialogue about their experiences in STEM.

Registration

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Details
Date: June 19
Time: 16:30 - 18:30
Organiser
RICAIP Testbed Prague at CIIRC CTU
Venue
RICAIP Testbed Prague at CIIRC CTU
Jugoslávských partyzánů 1580/3
Prague, 160 00 Czech Republic

© 2024 RICAIP Testbed Prague at CIIRC CTU. All rights reserved.

ELLIS Workshop on 3D Computer Vision and Robotics
2024-06-12 13:00 - 16:30 | ONLINE
Objective
The objective of this online workshop is to discuss recent scientific advances in the areas of 3D computer vision and robotics.

Organisers
With questions, please feel free to reach out to Rostyslav Hryniv, ELLIS Associate Unit Lviv, and Josef Sivic, ELLIS Unit Prague.

Agenda

The ELLIS Workshop on 3D Computer Vision and Robotics is an online event featuring a curated scientific programme with short talks and discussions on recent advances in 3D vision, visual tracking, scene understanding, and robotics. Each presentation slot includes a brief talk followed by Q&A, encouraging interactive exchange between researchers working on vision-based perception and autonomous systems.

Time
Session

13:00 - 14:30
Session I

13:00 - 13:20
Tetiana Martyniuk – DAD-3DHeads: the Dataset, Benchmark, and Applications

13:20 - 13:40
Torsten Sattler – Building 3D Models (for Visual Localization)

13:40 - 14:00
Igor Krashenyj – Fast, Efficient, Accurate and Robust Visual Tracker

14:00 - 14:30
Andrea Vedaldi – 3D Generative AI: From reconstruction to synthesis

14:30 - 15:00
Coffee Break

15:00 - 16:30
Session II

15:00 - 15:20
Ruslan Partsey – Is Mapping Necessary for Realistic PointGoal Navigation?

15:20 - 15:40
Martin Saska – Onboard AI and 3D computer vision for autonomous robots flying in demanding real-world environment

15:40 - 16:00
Tim Welschehold – From Reactive to Human-like Semantic Reasoning in Mobile Manipulation

16:00 - 16:30
TBA – TBA

The workshop is co-organised by the ELLIS Unit Prague and ELLIS Associate Unit Lviv.

Register here to get the ZOOM link

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Details
Date: June 12
Time: 13:00 - 16:30
Website
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Organiser
ELLIS Unit Prague
ELLIS Associate Unit Lviv

Venue
ONLINE

#CVTS2024 - Computer Vision Trento Symposium
2024-06-12 09:00 - 17:00 | The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, United Kingdom
About

The Computer Vision Trento Symposium (CVTS) is organised to bring together scientists, researchers, students, practitioners, and enthusiasts who share an interest in computer vision. This one-day event will showcase an invited keynote and series of oral and poster presentations. This year, 11 presentations will be featured on works that will be presented at IEEE Computer Vision and Pattern Recognition 2024 conference. CVTS will be held on Wednesday 12th June 2024. There will also be a link to join remotely. Free registration is required to attend in person.

Programme

Event Programme

Time
Event
Speakers

9:00
Welcome
Fabio Poiesi

9:10
Keynote: Semantic 3D reconstruction and understanding from images
Alessio Del Bue

10:00
Open-vocabulary object 6D pose estimation
Jaime Corsetti, Davide Boscaini, Changjae Oh, Andrea Cavallaro, Fabio Poiesi

10:20
Geometrically-driven aggregation for zero-shot 3D point cloud understanding
Guofeng Mei, Luigi Riz, Yiming Wang, Fabio Poiesi

10:40
Point cloud pre-training with diffusion models
Xiao Zheng, Xiaoshui Huang, Guofeng Mei, Yuenan Hou, Zhaoyang Lyu, Bo Dai, Wanli Ouyang, Yongshun Gong

11:00
Coffee break

11:20
DiffAssemble: A unified graph-diffusion model for 2D and 3D reassembly
Gianluca Scarpellini, Stefano Fiorini, Francesco Giuliari, Pietro Morerio, Alessio Del Bue

11:40
PAIR Diffusion: A comprehensive multimodal object-level image editor
Vidit Goel, Elia Peruzzo, Yifan Jiang, Dejia Xu, Xingqian Xu, Nicu Sebe, Trevor Darrell, Zhangyang Wang, Humphrey Shi

12:00
Test-time zero-shot temporal action localization
Benedetta Liberatori, Alessandro Conti, Paolo Rota, Yiming Wang, Elisa Ricci

12:20
SHiNe: Semantic hierarchy nexus for open-vocabulary object detection
Mingxuan Liu, Tyler Hayes, Elisa Ricci, Gabriela Csurka, Riccardo Volpi

12:40
Lunch break

14:00
Poster session

15:00
Coffee break

15:20
Riemannian multiclass logistics regression for SPD neural networks
Ziheng Chen, Yue Song, Gaowen Liu, Ramana Kompella, Xiaojun Wu, Nicu Sebe

15:40
Harnessing large language models for training-free video anomaly detection
Luca Zanella, Willi Menapace, Massimiliano Mancini, Yiming Wang, Elisa Ricci

16:00
MULTIFLOW: Shifting towards task-agnostic vision-language pruning
Matteo Farina, Massimiliano Mancini, Elia Cunegatti, Gaowen Liu, Giovanni Iacca, Elisa Ricci

16:20
OpenBias: Open-set bias detection in generative model
Moreno D'Incà, Elia Peruzzo, Massimiliano Mancini, Dejia Xu, Vidit Goel, Xingqian Xu, Zhangyang Wang, Humphrey Shi, Nicu Sebe

16:40
Closing
Fabio Poiesi

For more details, visit our website.

View the official website

Register here

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Details
Date: June 12
Time: 9:00 - 17:00
Event Category: Symposium
Website
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Organisers
Fondazione Bruno Kessler
University of Trento

Venue
Fondazione Bruno Kessler
Via Sommarive 18
Povo, Trento
Italy

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© 2024 Event Organisation. All rights reserved.

ELLIS Summer School on Machine Learning for Healthcare and Biology
2024-06-11 08:00 - 2024-06-13 17:00 | The University of Manchester, Oxford Road, Manchester, Manchester, M13 9PL, United Kingdom
Following the success of last year, Manchester’s European Laboratory for Learning and Intelligent Systems (ELLIS) unit are hosting their second Summer School during 11-13 June 2024, which will bring participants up-to-speed on the latest methods and technologies in machine learning with a focus on healthcare and biology. The school includes a set of Lectures by renowned researchers at the intersection of ML and Healthcare and Biology, and with an excellent track record of delivering educational content.
Speaking at this year’s event are:

Mihaela van der Schaar (University of Cambridge)
ST John (Finnish Center for Artificial Intelligence, Aalto University)
Cheng Zhang (Microsoft Research)
Jose-Miguel Hernández-Lobato (University of Cambridge)
Danielle Belgrave (GSK)
Alex Frangi (The University of Manchester)
Fabio De Sousa-Riberio (Imperial College London)
Dennis Wang (Imperial College London and A*STAR Singapore Institute for Clinical Sciences)
Tom Diethe (AstraZeneca)
Hananeh Aliee (Sanger Institute)
Luisa Cutillo (University of Leeds)
Julien Gagneur (Technical University of Munich)

Check the full programme here

Book your tickets now

ELLIS Summer School Scholarship
ELLIS Manchester is committed to fostering diversity and inclusive in research and acknowledges the financial challenges faced by researchers from economically disadvantaged backgrounds. To address this issue, we are pleased to announce our ‘ELLIS Manchester Development Scholarship’, aimed at providing financial assistance to applicants facing economic hardships during their research pursuits.
Applicants must be currently enrolled in a PhD program or PDRAs in the early stages of their careers. Financial need must be demonstrated and should also demonstrate a commitment to contributing to diversity and inclusion in their respective fields.
If you believe you should be considered, please email ellis@manchester.ac.uk, including a brief summary to tell us about you, your research and to demonstrate the need of support to attend the ELLIS summer school. The selection will made by the ELLIS Manchester Steering Group. As this funding is limited, we recommend you apply as early as you can.

ELLIS Manchester Summer School 2023
To find out more about what our summer schools are like, you can view full details of our 2023 summer school here and view the 2023 talks via our youtube playlist below.

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Start: June 11 @ 8:00
End: June 13 @ 17:00
Website
Event Website
Organiser
ELLIS Unit Manchester
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Venue
Location: The University of Manchester
Oxford Road, Manchester, M13 9PL United Kingdom

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© 2024 The University of Manchester. All rights reserved.

Hybrid Human-Artificial Intelligence Conference - #HHAI2024
2024-06-10 08:00 - 2024-06-14 17:00 | Malmö University – Niagara, Nordenskiöldsgatan 1,, Malmo, 211 19, Sweden
HHAI 2024 Conference

Join us at the forefront of innovation! The Hybrid Human-Artificial Intelligence (HHAI) Conference Series returns to Malmö, Sweden from June 10-14, 2024 for its third edition, bringing together the brightest minds in AI and human collaboration.

About HHAI
Explore the dynamic world where AI systems enhance and amplify human intelligence. The HHAI conference fosters synergy between humans and machines, emphasizing adaptability, collaboration, and ethical responsibility. Our mission is to shape intelligent systems that complement human strengths, addressing critical social, ethical, and legal issues.
Field Collaboration
HHAI invites bold, groundbreaking approaches driven by the latest AI advancements. We encourage collaboration across diverse fields, including AI, Human-Computer Interaction, social sciences, philosophy, and ethics. Scholars are welcome to submit original research and visionary ideas on Hybrid Human-Artificial Intelligence.
🗓️ Important Dates

Abstract Submission: February 2, 2024
Paper Submission: February 9, 2024
Acceptance Notification: March 29, 2024
Camera-Ready Version: April 12, 2024
Conference Dates: June 10-14, 2024

Why Attend HHAI 2024?
Explore the future of AI and human collaboration through cutting-edge research and innovative ideas. We welcome both established and emerging scholars, encouraging a rich exchange of perspectives and in-progress works.

🔗 Submission Details: Visit HHAI 2024 Submission for guidelines.
#HHAI2024 #AIConference #CollaborativeInnovation

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Details
Start: June 10 @ 8:00
End: June 14 @ 17:00
Event Category: Conferences
Event Tags: artificialintelligence, Opportunities
Website
Conference Website
Organiser
Malmö University

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Venue
Location: Malmö University – Niagara
Nordenskiöldsgatan 1, Malmo, 211 19 Sweden

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© 2024 Malmö University. All rights reserved.

Sciencepreneurship Summer School 2024: Sustainability & AI
2024-04-29 08:00 - 2024-05-03 17:00 | Lausanne, Switzerland, Lausanne, Switzerland
A week-long summer school of talks, workshops, and socials on turning scientific innovation into societal impact through entrepreneurship.

accomodation included | travel grants available | course credit (1 ECTS)

Rolling admissions – deadline March 22, 2024

Aim
The aim of this summer school is to address the following questions by sharing knowledge, experiences, and pitfalls about how to transform scientific advances into societal impact through entrepreneurship:

How can science be directly valuable for society and scale from lab to market?
How to get and choose the right team, funding, advisors, and legal setup?
What are common pitfalls in this process, and how to avoid them?

Program
The program of this summer school is tailored to provide the participants with a framework to develop the societal impact of scientific advances.

First, participants present a scientific innovation and form co-founding teams. 👩‍🔬🧑‍🔬
Then, putting the school its lectures, workshops, and socials into practice, teams shape their science-based business. 🚀
Finally, participants pitch their work to a jury, receive feedback, and compete for a prize. 🏆

I'm Interested

Apply here

View detailed schedule

Entrepreneurial graduate students from any institute

The Sciencepreneurship Summer School focuses on enhancing the exchange between entrepreneurially interested graduate students – mainly PhD students – from EPFL, ETH Zurich, and other leading institutes from around the world. Participation is highly competitive and the total number of participants is limited with admissions on a rolling basis.
The organizing committee is committed to creating a diverse and inclusive summer school. We encourage all students with an interest to apply. If you have any questions regarding eligibility, feel free to reach out.
Got any questions? You can reach us on arnout.devos@epfl.ch

"

Apply here

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Details
Start: April 29 @ 8:00
End: May 3 @ 17:00
Website
sciencepreneurship.ch

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Venue
Location: Lausanne, Switzerland
Lausanne, Switzerland
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© 2024 Sciencepreneurship. All rights reserved.

CLAIRE X NoEs AQuA: Women in AI
2024-03-06 16:00 - 17:00 | ONLINE
The CLAIRE All Questions Answered (AQuA) Series continues with a collaborative online discussion involving the AI Networks of Excellence (NoEs) – this time featuring great Women in AI in the spotlight!
Women account for less than 25% of AI specialists. Let’s shine a light on some of the excellent female researchers in the AI field, their successes, but also some of the obstacles they face as workers in this male-dominated field.
We will explore some of the pivotal stages and points in the careers of women when deciding and working in the area of AI, thus both early-stage female researchers as well as established female leaders in the AI field will be ready to answer all of the questions.
Join us for one hour online and don’t be shy – all questions will be answered!

This event is organised under CLAIRE by CLAIRE | Prague, CLAIRE | Zurich, VISION and Networks of Excellence Centres (NoEs), in particular:

ELIAS, ENFIELD, euROBIN, AI4Media, HumanE-AI-Net

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Details
Date: March 6
Time: 16:00 - 17:00
Event Tags: #AImadeinEurope, #IWD2024, #WomeninScience, #WomeninSTEM, WomeninAI
Website
Watch on YouTube
Organiser
AI NoEs

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Venue
Location: ONLINE

© 2024 AI NoEs. All rights reserved.

AI Excellence Lecture on Learning manipulation skills from instructional videos
2024-02-27 17:00 - 18:00 | ONLINE
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.
Lecturer: 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.
About 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.
The 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
🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series

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Date: February 27
Time: 17:00 - 18:00
Event Tags: AI, visualintelligence

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AIDA – Artificial Intelligence Doctoral Academy

Venue
Location: ONLINE

© 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved.

Joint ELIAS-ELISE Flagship Workshop
2024-02-07 - 2024-02-08 | NH Collection Frankfurt Spin Tower Hotel, Güterplatz 1, Frankfurt, 60237, Germany
Theme
This workshop aims to initiate tangible actions supported by ELIAS and ELISE to empower the next generation of talent, establish foundational models, and foster startups. Key measures the projects seek to align on include an annual meeting on open source foundation models and sciencepreneurship, a European graduate project programme, a pan-EU incubation programme, and a call for sciencepreneur fellows and units akin to the European Lab for Learning and Intelligent Systems (ELLIS) network’s calls for fellows and units.

Location
Our venue is the NH Collection Frankfurt Spin Tower Hotel, Frankfurt, Germany.

Programme

Event Programme

Time
Activity

12:00 - 13:00
Registration & Coffee

13:00 - 13:15
Official Start of Workshop & Welcome by Matthias Bethge (Tübingen AI Center & ELLIS Fellow)

13:15 - 14:50
Speakers: Yann LeCun (Meta), Katharina Frey (Swiss Foreign Ministry & ICAIN), Laura Morselli (CINECA & EuroHPC), Jenia Jitsev (LAION-ELLIS Member)

14:50 - 15:30
Coffee break

15:30 - 17:00
Speakers: Ce Zhang (Together AI), Samuel Weinbach (IPAI Aleph Alpha), Daniel Naeff (Swiss AI)

17:00 - 18:00
Open discussion on Annual Meeting for Open Source community, spotlight presentations (Moderated by Matthias Bethge)

18:00 - 20:00
Joint dinner

20:00 - 20:45
Intro about ELIAS and briefing on ELIAS measures (Nicu Sebe - ELIAS Coordinator & ELLIS Fellow)

20:45
Time for open discussions at the hotel bar

09:00 - 09:05
Welcome (Matthias Bethge)

09:05 - 09:20
Gregor von Dulong: “Learnings from building and scaling entrepreneurship education at HPI”

09:20 - 09:30
Wieland Brendel (ELLIS Scholar): “Polybot”

09:30 - 10:00
Isabelle Siegrist: “Building a pan-European Accelerator”

10:00 - 12:00
Breakout groups on:
- How to build the ELIAS Innovation Alliance (EIA), define the narrative, and set up a call for sciencepreneur fellows, units, graduation projects (Matthias Bethge & Arnout Devos)
- How to set up an annual meeting for AI (Daniel Naeff & Wieland Brendel)
- How to set up a Pan-EU incubation program for AI Startups? (Isabelle Siegrist)

12:00 - 13:30
Joint lunch

13:30 - 16:00
Further spotlight presentations:
- Steffen Schneider (KI macht Schule)
- Le Viet (La Famiglia)
- Beyza Ermis (Cohere AI)
Presentation and discussion of breakout group results.
Discussion of White paper

For more details, visit our website.

This workshop is co-organised with ELISE – European Network of AI Excellence Centres, funded by the European Union’s Horizon 2020 research and innovation programme under grant agreement No 951847.

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Details
Start: February 7
End: February 8
Event Category: Workshops
Event Tags: eliasproject, elise, ellis, foundationmodels, sciencepreneurship

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Organiser
University of Tübingen

Venue
Location: NH Collection Frankfurt Spin Tower Hotel
Güterplatz 1, Frankfurt, 60237 Germany

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© 2024 NH Collection Frankfurt Spin Tower Hotel. All rights reserved.

AI Excellence Lecture on Deep learning and Process Understanding for Data-Driven Earth System Science
2024-01-30 17:00 - 18:00 | ONLINE
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.
Lecturer: 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.
About 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.
The 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
🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series

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Date: January 30
Time: 17:00 - 18:00
Event Category: Lectures & Seminars

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Deep Learning and Process Understanding for Data-Driven Earth System Science

Venue
Location: ONLINE

Organiser
AIDA – Artificial Intelligence Doctoral Academy
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© 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved.

ELLIS Multimodal Learning Systems Workshop on Multimodal Foundation Models
2024-01-17 - 2024-01-19 | Mathematisches Forschungsinstitut Oberwolfach (MFO), Schwarzwaldstraße 9-11, Oberwolfach-Walke, 77709, Germany
Theme

Multimodal foundation models are a revolutionary class of AI models that provides impressive abilities to generate content (text, images, sound, videos, protein structures, and more), and do so by interactive prompts in a seemingly creative manner. These foundation models are often autoregressive, self-supervised, transformer-based models that are pre-trained on large volumes of data, typically collected from the web. They already form the basis of all state-of-the-art systems in computer vision and natural language processing across a wide range of tasks and have shown impressive few-shot learning abilities. The perceived intelligence and adaptability of models like ChatGPT, Stable Diffusion, Gemini, and GPT4 impress, but their aptitude to produce inaccurate, misleading, or false information (and present it confidently and convincingly) makes them unsuitable for any task of importance and poses serious societal concerns. In this workshop we present recent advances on multimodal foundation models from academia and industry and discuss their impact and implications moving forward.

Location

The workshop is hosted at the Mathematisches Forschungsinstitut Oberwolfach (MFO). Accommodation and meals will take place in Hotel Hirschen, which is within walking distance of the MFO.

Event Programme

Programme

Wednesday January 17

15:00 - 19:00
Arrival of attendees, time for socializing and discussion

19:00 - 22:00
Opening dinner at Hotel Hirschen

Thursday January 18

08:00 - 09:30
Breakfast at Hotel Hirschen

09:30 - 11:00

Morning Session I: Foundation Models (Chair: Yiannis Kompatsiaris)
FoMO without FOMO by Karteek Alahari (Inria)
Towards 3D Human Foundation Models by Cristian Sminchisescu (Google)
What multimodal foundation models cannot perceive by Cees Snoek (University of Amsterdam)
Are Foundation Models the tool for Social Embodied AI? by Xavier Alameda-Pineda (Inria)

11:00 - 11:30
Coffee break

11:30 - 12:30

Morning Session II: Vision & Language (Chair: Dima Damen)
Vocabulary-free Image Classification by Elisa Ricci (University of Trento)
Coreference resolution in narrated images by Hakan Bilen (The University of Edinburgh)
Vision-Language Self-Supervised Learning by Shaogang Gong (Queen Mary, University of London)

12:30 - 14:00
Lunch break at Hotel Hirschen

14:00 - 15:30

Afternoon Session I: Generative AI (Chair: Karteek Alahari)
Images & text: alignment, generation and compression by Jakob Verbeek (Meta)
Measuring the Quality of Generative Neural Networks - An Unsolved Problem by Juergen Gall (University of Bonn)
Controllable generation for Analysis and Synthesis by Ioannis Patras (Queen Mary, University of London)
Improving Fairness using Vision-Language Driven Image Augmentation by Nicu Sebe (University of Trento)

15:30 - 16:00
Coffee break

16:00 - 17:00

Afternoon Session II: Multimodality (Chair: Xavier Alameda-Pineda)
Multi-modality in Egocentric Vision - Contradictory and complementary signals by Dima Damen (University of Bristol)
Multimodal LLMs for Document Understanding by Dimosthenis Karatzas (Universitat Autónoma de Barcelona)
Large Multimodal Models for Media and Journalism by Yiannis Kompatsiaris (Information Technologies Institute, CERTH)

17:00 - 18:30
Discussion Session (Chairs: Cees Snoek & Nicu Sebe)

19:00 - 22:00
Dinner at Hotel Hirschen

Friday January 19

08:00 - 10:00
Breakfast at Hotel Hirschen

10:00 onwards
Departure

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Start: January 17
End: January 19
Event Category: Workshops

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Multimodal FoMO Workshop
Organiser
ELLIS, ELISE & ELIAS

Venue
Location: Mathematisches Forschungsinstitut Oberwolfach (MFO)
Schwarzwaldstraße 9-11, Oberwolfach-Walke, 77709 Germany
Phone: +49 (0) 7834 979-0
View Venue Website

© 2024 ELLIS, ELISE & ELIAS. All rights reserved.

AI Excellence Lecture on Hybrid & Causal Machine learning in the Earth sciences
2024-01-16 17:00 - 18:00 | ONLINE
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.
Lecturer: 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.
About 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.
The 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
🔗 For more information: Artificial Intelligence Doctoral Academy – AI Excellence Lecture Series

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Date: January 16
Time: 17:00 - 18:00
Event Category: Lectures & Seminars

AI
ML

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Hybrid Causal Machine Learning in the Earth Sciences

Venue
Location: ONLINE

Organiser
AIDA – Artificial Intelligence Doctoral Academy
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© 2024 AIDA – Artificial Intelligence Doctoral Academy. All rights reserved.
