AIDA Symposium and Summer School on ‘AI/ML Cutting Edge Trends'(AIDA AICET2025)

Title

AIDA Symposium and Summer School on ‘AI/ML Cutting Edge Trends'(AIDA AICET2025)

Content and organization

Artificial Intelligence (AI), and Machine Learning (ML) in particular, advance very rapidly, at a pace that even specialists have difficulties in following it. Its impact, particularly through Large Language Models and Generative AI affect almost all scientific disciplines. AI has a huge social impact, e.g., on education, labor market, politics and governance. Given the fast AI evolution, both industry and academia are interested in fast personnel reskilling and upskilling on AI edge technologies. This event, co-organized by International AI Doctoral Academy (AIDA) and Aristotle University of Thessaloniki (AUTH), will cater these advanced AI education needs.

AIDA AICET2025 will consist of cutting-edge invited and/or open-call peerly reviewed lectures, regular/special sessions, courses and tutorials, all having tutorial/review value: a) invited lectures; b) regular open-call peerly reviewed lectures organized in regular sessions; c) special sessions (invited and/or open-call reviewed ones); d) half-day tutorials (invited and open-call reviewed ones) and e) 1- or 2-day short courses (invited and open-call reviewed ones).

AI/ML Program Topics

Deep Learning, Generative Artificial Intelligence, Foundation Models, Large Language Models
Machine Learning, AI Foundations, Pattern Recognition, Reinforcement Learning and Sequential Decision-making
Trustworthy AI, Explainable AI, AI Ethics and Governance
Adversarial, Continual, Federated, Transfer Learning, Knowledge distillation
Distributed/decentralized AI, Networked Intelligence, Cloud/Edge AI, HW/SW for AI acceleration
Computer Vision, Intelligent Robotics, AI and Autonomous Systems/Cars/Vehicles
Natural Language Processing, AI for Speech, Music/Sound Analysis and Synthesis, AI for Signal Processing,
Human-Centered Machine Learning, Human-Centered Media Analysis, Artificial Social Intelligence
Neurosymbolic AI, Knowledge Representation and Problem-Solving, Reasoning and planning,
AI and Games, Deep Arts, AI in Humanities, AI-powered Education
AI and Neuroscience, AI in Health Sciences,
AI in Material Science, AI and Quantum Computing, AI and Wireless Computing
AI in Markets and Finance, AI for Marketing, AI and Social Media
AI and Disinformation, AI and Forensics, AI Bias

AIDA AICET2025 is a hybrid (local/remote participation) event.

Local participation: KEDEA building, Aristotle University of Thessaloniki (AUTH), Thessaloniki, Greece.

Remote participation using a Zoom link is also possible.

You can find additional information about the city of Thessaloniki and details on how to get to the city here.

More details about the program and general conditions are available at the course link.

An introductory course providing foundational knowledge in Deep Learning by Prof. Ioannis Pitas (Aristotle University of Thessaloniki): Short course on ‘Deep Learning’

Registration

Step (a): If you are an AIDA Student*, enroll on this course using the “ENROLL ON THIS COURSE” button below, so that this course is included on your AIDA Certificate of Course Attendance, upon successful course participation,
AND
Step (b): Register in the course, following the instructions, here

*AIDA Students are are PhD students/candidates or postdoc researchers belonging to any AIDA member.

Course Duration

5 days + 1 one day pre-symposium short course on deep learning

Course Type

Seasonal School

Modality (online/in person):

Hybrid (local/remote)

Host Institution
Aristotle University of Thessaloniki

Other short courses

11. 03. 2025 Go

Deep Learning

13. 02. 2025 Go

Ethics and AI

13. 02. 2025 Go

Computer Vision

19. 01. 2025 Go

Ethics & STICs

10. 04. 2024 Go

Ethics & STICs

01. 03. 2024 Go

Computer Vision

24. 11. 2023 Go

Human Rights Toolbox

21. 02. 2023 Go

Computer Vision

11. 05. 2022 Go

Geometric learning

05. 04. 2022 Go

Computer Graphics

04. 04. 2022 Go

Bayesian Learning

02. 04. 2022 Go

Computer Graphics

31. 03. 2022 Go

Web of Data

28. 03. 2022 Go

Machine Learning

27. 03. 2022 Go

Machine Learning

02. 03. 2022 Go

Player Modeling

28. 02. 2022 Go

Player Modeling

21. 02. 2022 Go

Affective Computing

21. 02. 2022 Go

Machine Listening

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Computer Vision

21. 02. 2022 Go

Self-Driving Cars

21. 02. 2022 Go

Deep Learning

21. 02. 2022 Go

Deep Learning 2

09. 07. 2021 Go

Self-Driving Cars

09. 07. 2021 Go

Computer Vision

09. 07. 2021 Go

Deep Learning

17. 06. 2021 Go

Deep Learning School

17. 06. 2021 Go

Memory Network

02. 06. 2021 Go

Machine Listening

02. 06. 2021 Go