Hub AI and AI2S are hosting a free panel on sustainability and smart cities on May 5th! πŸŒΏπŸŒ³πŸ™οΈ

Join the event here and visit the event Facebook page or our dedicated page here for further details.


πŸ“… Wednesday, March 24th 2021
πŸ“ Zoom

Meet the professors and learn about your:

  • Thesis topics

  • PHD and resarch opportunities

πŸ“… February 27th-28th, 2021
πŸ“ DevPost - MSTeams

The first AI2S datathon is here, register in the event and show your analytical skills to win the first prize! Gear up for a 24-hour, data analysis challenge on a real world problem.

More details available here!

πŸ“… December 14th, 2020, 11:00 - 13:00 and 15:30 - 17:15
πŸ“ MSTeams

An entire day dedicated to Deep Learning! πŸ§‘β€πŸ’»

  • Introduction to Neural Networks, by Alessio Ansuini

  • Seminars on Adversarial Attacks, by Andrea Cavallaro and Ginevra Carbone

More details available here!

πŸ“… Starting on November 23rd, 2020, 11:00 - 13:00
πŸ“ MSTeams

Professor Luca Manzoni will held a course on Julia, the new language for ML and AI. πŸ€–
There will be about four lessons of two hours each.

NEWS: Given the new DPCM, the course will be held completely ONLINE (no need to rebook!).

More details available here!

AI2S Welcome Presentation

πŸ“… October 5th, 2020, 14:30

πŸ“ Room F, C1 Building, University of Trieste

We will present our association to anyone interested. Book your seat at the live presentation at this link. 50 places available due to COVID-19 restrictions.

No more places available? No problem! Join our virtual presentation at this link!

πŸ“… June 10th & 17th 2020 πŸ“ Zoom

Speakers will briefly share their current research alongside their available thesis, internship and PhD proposals, to provide students with an overview of available opportunities to choose from.

More details available here!

Videos πŸ“Ί : June 10th | June 17th

πŸ“… May 8th 2020 πŸ“ Zoom

We are organizing an online event to promote local research efforts undertaken by several researchers in our local community to model and study the COVID-19 pandemic by the means of statistical and AI-related approaches.

More details available here!