AI-DLDA 2022: International Summer School on Artificial Intelligence

Udine - July 4th / 8th 2022

About us

The school
+10 Speakers
5 Days

What is AI-DLDA?

AI-DLDA 2022 is the fifth edition of the International Summer School of Artificial Intelligence. From Deep Learning to Data Analytics which is hosted at Palazzo Antonini, in the beautiful university town of Udine, in North-East of Italy. It is addressed to young researchers, Ph.D. students and industry practitioners.
This school will give an in-depth analysis of the state-of-the-art research and will cover a large spectrum of current research activities and industrial applications dealing with big data, computer vision, human-computer interaction, biomedical informatics, deep learning, and serious games.

Who is AI-DLDA addressed to?

Master’s students, Ph.D. students, researchers, and industry practitioners will be the ideal profiles of participants. However, there are no formal prerequisites for attendance in terms of academic degrees. All selected participants will benefit from direct interaction with world leaders in AI.

Why attend in person instead of online?

After two years of online-edition only, AI-DLDA is ready to come back on site in Udine. Attending in the classroom on-site will give you more opportunities than merely following the online classes:

  • • Build a direct relationship with eminent European Academics, having the possibility to interact with professors and speakers both in class and during coffee breaks or convivial gatherings.
  • • Meet Ph.D students, scholars and researchers from other countries and share studies, experiences and point of view.
  • • Network with CEOs, CFOs, and industry practitioners from the AI field in order to create partnerships for future collaborations.
  • • Match students and professionals with the most important companies based in Friuli Venezia Giulia which operate in global markets.
  • • …And experience the city of Udine, taste traditional food & wines, learn Furlan (our local language), and discorver one of the lesser-known treasures in the North-East of Italy.

Pricing

Agenda

Schedule
09.00 - 10.00

Entrance Hall @Palazzo Antonini - Registrations & Welcome Coffee

10.00 - 10.30

Aula 5 - Opening remarks by Scientific Directors

10.30 - 12.30

Aula 5 - Lecture
Primo Zingaretti, Computer Vision and Deep Learning for Human Behavior Analysis and Human Robot Interaction

Light Lunch

14.00 - 15.30

Lab M1 (Students) / Lab M2 (Business) - Workshop
Lorenzo Baraldi, An introduction to the use of PyTorch and Google Colab Environments

Coffee Break

16.00 - 17.30

Lab M1 (Students) / Lab M2 (Business) - Workshop
Lorenzo Baraldi, An introduction to the use of PyTorch and Google Colab Environments

09.00 - 10.30

Lab M1 (Students) / Lab M2 (Business) - live streaming Lecture
Alexandre Alahi, Deep learning for Autonomous Vehicles

Coffee Break

11.00 - 12.30

Lab M1 (Students) / Lab M2 (Business) - Lecture
Jan Peters, Machine Learning for Robot Motor Skills

Light Lunch

14.00 - 15.30

Lab M1 (Students) - Workshop
Matteo Dunnhofer, Deep Learning for Visual Object Tracking

Lab M2 (Business) - live streaming Workshop
Rita Pucci, A Gentle Introduction to Capsule Networks

Coffee Break

16.00 - 17.30

Lab M1 (Students) - Workshop
Matteo Dunnhofer, Deep Learning for Visual Object Tracking

Lab M2 (Business) - Workshop
Giuseppe Serra, Building Language Models for Entities Extraction and Text Generation

09.00 - 10.30

Aula 4 - Lecture
Marcello Pelillo, Graph-theoretic Methods in Computer Vision: Recent Advances

Coffee Break

11.00 - 12.30

Aula 4 - Poster Presentation / Students Spotlight

Light Lunch

14.00 - 15.30

Lab M1 (Students) - live streaming Workshop
Rita Pucci, Automatic Old Image Colourisation

Lab M2 (Business) - Workshop
Matteo Dunnhofer, Deep Reinforcement Learning for Robot Control

Coffee Break

16.00 - 17.30

Aula 4 - Industrial Panel

17.30 - 18.30

Aperitivo Networking

09.00 - 10.30

Aula 4 - Lecture
Bernhard Rinner, Multi-Robot Coordination

Coffee Break

11.00 - 12.30

Aula 4 - Lecture
Giorgio Giacinto, From Data Collection to Threat Intelligence: Secure Artificial Intelligence for Cybersecurity

Light Lunch

14.00 - 15.30

Lab M1 (Students) - Workshop
Giuseppe Serra & Simone Scarboro, Building Language Models for Entities Extraction and Text Generation

Lab M2 (Business) - Workshop
Marco Sortino, AI technologies applications in manufacturing

Coffee Break

16.00 - 17.30

Lab M1 (Students) - Workshop
Giuseppe Serra & Simone Scarboro, Building Language Models for Entities Extraction and Text Generation

Lab M2 (Business) - Workshop
Federico Biasutti, Workshop on use cases of AI in manufacturing

09.00 - 10.30

Room 4 - Final Exam

10.30 - 11.00

Final Farewell - Summer School Closure

Registration is open!

Registration

Registration is open until June 30th. Don't miss out!

Register

Pricing

Tuition Fees

Students

Scholarship (onsite & online)

APPLICATIONS DEADLINE: June 20th at 6pm
Scholarship includes admission fee, accomodation and travel expenses up to 250 €.

0 €

Entire week onsite

Onsite fee includes daily coffee break, light lunch, networking activities.

199 €

Entire week online

160 €

VAT included. Please note that accomodation is not included in any fee.

Business

Entire week onsite

Onsite fee includes daily coffee break, light lunch, networking activities.

750 €*

Entire Week online

500 €*

Single day online

200 €*

VAT included. Please note that accomodation is not included in any fee.
*For (a) DITEDI affiliated companies, (b) companies from the COMET Cluster, (c) VOXXED DAYS TRIESTE participants, fees are reduced by 15% entering the dedicated promo code into the "note" box on the Registration Form.

FAQ

FAQ

Who can apply? Am I eligible?

Which is the language used during the Summer School?

Will AI-DLDA classes be held in person or online?

I applied for the on-site classes but I cannot join in person anymore. What should I do?

What is included in the application fee?

Where is located the Summer School?

How can I get to Udine?

What payment methods do you accept?

Reviews

About us

I would suggest this summer school to all the aspiring Data Scientists, PhD students and ML/AI practitioners.
I liked the content and courses of the summer school. I would have even enjoyed more if I would have attended the summer school physically.
Hopefully next year.

Bujar R.

The AI Summer School is a great opportunity to have an overview of the most recent activities in the AI field.
It gives the chance to talk with important researchers of all around the world.

Alessia B.

The summer school was very informative with good line of speakers. I really enjoyed it.

Ferdinando F.

The summer school gave me different current ideas regarding my Phd reserach, which can be very useful for my future research.

Rashid K. D.

Academic or non-academic people should join the school to get a good grasp of both recent and current works, so that new ideas can be discussed and personal growth be achieved.

Pavel R.

I really like that this is not an "entry level" AI school but a highly technical one.

Sarah L.

The online version of the School was good enough, and I really appreciate the organization.

Michael V.

AI-DLDA 2022

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