Early Bird (onsite)
Available until June 12th
AI-DLDA 2022 is the fifth edition of the International Summer School of Artificial Intelligence. From Deep Learning to Data Analytics which is held in Udine, 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.
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.
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:
Agenda will be revealed soon!
Morning sessions are plenary lectures open to both students and business participants, and will be held by international speakers.
Afternoon sessions are workshops held by professors and professionals focused on specific topics and therefore targeted to academics and business participants separately.
Speakers and professors who have already confirmed their presence:
Other speakers will be revealed soon!
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.
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.
The summer school was very informative with good line of speakers. I really enjoyed it.
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.
I really like that this is not an "entry level" AI school but a highly technical one.
The online version of the School was good enough, and I really appreciate the organization.