ABOUT
The
INVICTA will guide you through an unforgettable journey into the development of intelligent systems, where innovation meets tradition in the captivating city of Porto.
What is our mission?
INVICTA aims to become an European reference in state-of-the-art artificial intelligence, computer vision and pattern analysis topics by promoting knowledge and sharing of experiences while building a global community from Porto, Portugal to the World.
What can you expect?
- Interactive lectures
- Hands-on workshops
- Debates
All led by distinguished experts and practitioners from academia and industry.
This is the perfect experience whether you're a budding enthusiast eager to grasp the fundamentals or a seasoned professional aiming to refine your expertise. This school promises to equip you with the skills and insights needed to thrive in the rapidly evolving landscape of artificial intelligence technologies.
INVICTA 2024 was a very interesting experience that I would recommend to anyone studying in the field of
computer vision! I had the opportunity to learn more about CV, enhancing my knowledge not only in
biometrics, which interests me the most, but also in fields I had no previous knowledge of.
In particular, the division of the theoretical and practical classes was very useful, as we got to test
the knowledge we had gained with simple examples. I can also recommend the school for its friendly
environment that facilitates the discussion and exchange of ideas between all the attendants.
You can expect to see me again at INVICTA 2025!
Eduarda Caldeira - 1st Edition Participant
It was a very enjoyable experience and really well-organised, the people were extremely friendly and nice also. It was a pleasure to attend and network and meet the people at the event. Many thanks to the people who organized INVICTA!
1st Edition Participant
Being part of the Organising Committee of the INVICTA Spring School 2024 was one of the best parts of my PhD journey. This experience allowed me to work with different colleagues, share different experiences, and create a common vision and mission for a School that aims to be an inclusive environment where people can learn about AI. During the week, I had the chance to meet participants with different backgrounds and engage in scientific discussions with our distinguished speakers. If you are passionate about AI, INVICTA is the place to be and where you will grow!
Tiago Gonçalves - 1st Edition Organiser
For me, INVICTA was a truly stimulating experience, combining theoretical exploration with hands-on applications. The program's blend of academic and industry perspectives provided a comprehensive view of machine learning and its real-world applications."
Rafael Mamede - 1st Edition Participant
Applications
How can I apply?
Applications are now open! Don't miss this opportunity!
You can apply using the following form:
INVICTA School 2025
| Application Form.
Applications are accepted on "a rolling basis". If your application is accepted, you will be contacted and have the opportunity to register for INVICTA School 2025.
Registrations
I'm in! How do I register?
If your application has been accepted, we'll contact you with instructions.
Keep in mind the following information on fees and deadlines:
Registration Phase | Start | Deadline | Registration Fee |
---|---|---|---|
Early-bird Registrations | January 6, 2025* | February 9, 2025* | €650 |
Regular Registrations | February 10, 2025* | March 5, 2025* | €700 |
Late Registrations | March 6, 2025* | March 24, 2025* | €750 |
* All deadlines are 23:59 WEST (UTC+1)
What does the registration include?
- All lectures
- Hands-on sessions
- Round-table
- AI talks
- Coffee breaks
- Social programme and other events
How can I get a VISA to attend INVICTA?
If you need a visa to travel to Portugal, you need to send us the following information:
- Your full name
- Your e-mail address
- Address to which you would like the acceptance letter to be sent
- Your passport information: number, issue date and place, and expiration date
Send this info to invicta@inesctec.pt with the subject line "Visa letter request". Visas will only be issued after the payment of registration fees is confirmed.
Sessions
Wilson Silva
Utrecht University, Utrecht, Netherlands
Wilson Silva is an Assistant Professor in the Departments of Information and Computing Sciences and Biology
at Utrecht University, as well as a Guest AI Researcher in the Department of Radiology at the Netherlands
Cancer Institute. His research focuses on trustworthy artificial intelligence for life sciences,
with particular emphasis on explainable AI, privacy-preserving machine learning, and enhancing generalizability
in cancer research.
Before moving to the Netherlands, Wilson completed his PhD at the University of Porto/INESC TEC,
where he conducted research within the Visual Computing and Machine Intelligence group under the guidance of
Prof. Jaime Cardoso. During his PhD, he also spent time as a visiting researcher in Prof. Mauricio Reyes’
lab at the University of Bern in Switzerland. Wilson holds a master’s degree in Electrical and Computer
Engineering from the University of Porto.
Explainable AI in Healthcare: Fundamentals, Challenges, and the Road to Trustworthy AI
TBA
Yongshuo Zong
University of Edinburgh, Edinburgh, Scotland
Yongshuo Zong is a final-year PhD student at the University of Edinburgh where he works with Prof. Timothy Hospedales. His research focus on multimodal learning, especially large vision-language models, with an emphasis on areas such as safety, robustness, in-context learning, and multi-image understanding. He also works in the area of AI for healthcare where he develops MEDFAIR, one of the most popular benchmarks for medical imaging fairness.
Towards stronger and safer vision-language models
Large language models (LLMs) have become integral to daily life, powering numerous applications. Building on the foundation of LLMs, large vision-language models (VLMs) have been developed to seamlessly integrate visual and textual data, enabling advanced multimodal interactions with humans. In this talk, I will first provide an overview of the background of large language models and multimodal learning. I will then introduce key research challenges in advancing LLMs and VLMs, focusing on topics such as in-context learning, multi-image understanding, and long-context processing. Finally, I will discuss the challenges of deploying large vision-language models safely, discussing potential alignment strategies to ensure reliability and ethical use. This talk aims to give the audience an overview of the foundations, advancements, and current challenges in vision-language models, highlighting the latest research driving this field forward.
Stay tuned for more information about the remaining sessions!
Schedule
TBA
Venue
Porto is Portugal's second-largest city, European Best Destination in 2012, 2014 and 2017. Known as "The Invicta" - the epithet granted by Queen D. Maria II (daughter of D. Pedro IV) to the city because during the 19th-century Portuguese civil war, Porto withstood a siege of over a year.
Porto is full of contrasts within a small area and offers a diversity of styles and ambiences. In this city of great wine and rich history, you will enjoy the famous baroque-style monuments and the worldwide famous Port Wine cellars. With the World Heritage Douro Riverside in the background, the narrow and sinuous cobbled streets of this old and charming city contrast with the growing innovation, cutting-edge technology, and start-ups that have made Porto their home.
INVICTA School 2024 will take place at Porto Innovation Hub facilities. Located at Largo do Dr. Tito Fontes close to the Trindade Station in the city centre. Porto Innovation Hub is an initiative of the Municipality of Porto which aims to be a platform for the reinforcement of the city’s innovation and entrepreneurship ecosystem. This is a project coordinated by Porto Digital Association, a private non-profit association owned by Porto City Council, the University of Porto and Metro of Porto.
Hotels
Team
Ana F. Sequeira
INESC TEC & FEUP
Ana F. Nogueira
INESC TEC & FEUP
Daniela Santos
INESC TEC
Felipe Coutinho
INESC TEC & FEUP
Francisco Silva
INESC TEC & FCUP
Helena Montenegro
INESC TEC & FEUP
Inês Domingues
ISEC & CI-IPOP
Joana Sousa
INESC TEC & FEUP
João Nunes
INESC TEC & FEUP
Luís Fernandes
INESC TEC & FEUP
Margarida Gouveia
INESC TEC & FEUP
Pedro Sousa
INESC TEC
Rafael Mamede
INESC TEC & FEUP
Vitória Cruz
INESC TEC
Advisory Team
Hélder P. Oliveira
INESC TEC & FCUP
Jaime S. Cardoso
FEUP & INESC TEC
Kelwin Fernandes
NILG.AI
Luís Teixeira
FEUP & INESC TEC
Tiago Gonçalves
INESC TEC & FEUP
Ricardo Cruz
INESC TEC & FEUP