ACDL 2027
Advanced Topics and Recent Developments in Machine Learning and Data Science (8 ECTS)
A five-day residential advanced course for PhD students, researchers, engineers and early-career academics, combining frontier lectures, tutorials, research presentations and intensive scientific exchange.
Join a course with a distinguished history of speakers from Google DeepMind, Meta, Microsoft, MIT, Stanford, Princeton, Oxford, Cambridge, Harvard and other leading research institutions — in a residential programme in Tuscany.
- 8 ECTS recognised credits
- Focus on AI & cutting-edge ML
- International cohort (PhD, researchers, engineers)
- Fully immersive experience in Tuscany
- Register now — Limited to 250 participants — Early registration closes 23 February 2027.
- The course is designed as an immersive residential experience, bringing together lecturers and delegates at a single venue to foster scientific exchange.
The 10th Advanced Course on Data Science & Machine Learning – ACDL 2027 is a fully immersive five-day residential course at the Riva del Sole Resort & SPA (Castiglione della Pescaia – Grosseto – Tuscany, Italy) on cutting-edge advances in AI Agents, Agentic AI, Deep Learning, Data Science, AI and Generative AI with lectures delivered by world-renowned experts. The Course provides a stimulating environment for PhD students, Postdoctoral researchers, Junior Academics, early-career researchers, and industry leaders (exceptionally motivated Master’s and advanced undergraduate students may also be admitted). Participants will also have the chance to present their results through talks or posters, and to interact with their peers, in a collegial, professional and intellectually stimulating environment.
The typical participants in ACDL will be PhD students, Postdoctoral researchers, Industry Practitioners and Junior Academics. The Course will involve a total of 36–40 hours of lectures; according to the academic system the final achievement will be equivalent to 8 ECTS credits for the PhD Students (and strongly motivated Master’s students and undergraduate students) attending the Course. At the end of the advanced course each participant will receive the Formal Certificate of Attendance in which it will be written that the advanced course is worth exactly 8 ECTS credits.
The Course can accommodate a maximum of 250 participants; early registration is therefore advised. Registration is on a first-come, first-served basis.
To participate in ACDL 2027, all participants must:
(I) register for the course by February 23, 2027 and
(II) book accommodation at the course venue, “Riva del Sole Resort & SPA” by April 23, 2027; all participants must stay at the “Riva del Sole Resort & SPA”.
Accommodation must be booked exclusively by means of the form attached to the registration e-mail. Please note that reservations made via third-party platforms cannot be accepted and will be cancelled by the hotel. It is not possible to extend the stay, the special accommodation rates are valid only for the period of the course, regrettably, no exceptions can be granted. To contact the Riva del Sole Resort & SPA (the course venue) use the following email: booking.events@rivadelsole.it
Once accommodation has been booked at “Riva del Sole Resort & SPA“, the participant must send this information (including the Booking Number) to the ACDL organizing committee (acdl@icas.cc).
ACDL is a residential course, so all lecturers and participants must reside in the same Hotel (Riva del Sole Resort & SPA). ACDL is designed as a residential scientific experience: participants, lecturers and tutors stay together at the same venue, creating an unusually intensive environment for scientific discussion, networking and collaboration. For this reason, accommodation at the official venue is a participation requirement.
Due to privacy regulations, the hotel management is unable to assign shared accommodation to individual participants. If you have someone to share the apartment with (or a double room in Hotel), please send to the Hotel ( booking.events@rivadelsole.it and acdl@icas.cc) the name, surname and email address. Otherwise the solution is to book a hotel room in single use.
Please note that only ACDL registered participants can book a room (in hotel or apartment) at the Riva del Sole Resort & SPA with the accommodation form attached in the registration email and with the ACDL Discounted Rates. The Booking Office of the Riva del Sole Resort & SPA will verify the names of the participants and the corresponding registration number to confirm the booking.
Course Language: English. All lectures, tutorials, presentations and course materials are in English.
Topics
- AI Agents & Agentic AI
- Artificial Intelligence
- Artificial General Intelligence
- Augmented Intelligence
- Autonomous Systems
- Big Data
- Cognitive Computing
- Computational Cognitive Science
- Constraint-Based Approaches to Machine Learning
- Deep Learning
- Explainable Artificial Intelligence
- Foundation Models
- Human-level AI
- Generative Artificial Intelligence
- Geometric Deep Learning
- Large Language/Vision Models
- Multimodal Foundation Models
- Natural Language Processing
- Probabilistic Generative Models
- Reasoning & Planning
- Reinforcement Learning
- Robotics
- Self-Driving Vehicles
- Safe Superintelligence/Superhuman AI
- Transformers
- Theory of Deep Learning
Lecturers
(TBA)
Tutorial Speakers
(TBA)
ACDL 2027 Directors
Deadlines
- Registration: by Tuesday February 23, 2027 (AoE)
- Oral or Poster Presentation Submission Deadline: Tuesday February 23, 2027 (AoE)
- Late Registration: from Wednesday February 24, 2027
- Accommodation Reservation at Riva del Sole Hotel & SPA: by Friday April 23, 2027
- Late Accommodation Reservation at Riva del Sole Hotel & SPA: from Saturday April 24, 2027
- Notification of Decision for Oral/Poster Presentation: by Sunday May 23, 2027
- Course: June 7-11, 2027
Recent News
- October 1, 2026 — ACDL 2027 Registration is Now Open
- June 14, 2026 — ACDL 2027 Preliminary Program
- June 14, 2026 — ACDL 2027 Poster
- June 6, 2026 — Some housekeeping
- June 6, 2026 — The ACDL 2027 website is now live
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