Connectionists: Save the Date: #ACDL2020, 3rd Advanced Course on Data Science & Machine Learning - Early Registration February 20

[Giuseppe Nicosia]

ACDL 2020, 3rd Advanced Course on Data Science & Machine Learning
An Interdisciplinary Course: Big Data, Deep Learning & Artificial
Intelligence without Borders

ACDL 2020 – A Unique Experience:
Data Science, Machine Learning & Artificial Intelligence with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano

Certosa di Pontignano, Siena - Tuscany, Italy
July 13-17, 2020
https://acdl2020.icas.xyz      acdl at icas.xyz

The past 2 editions have attracted more than 150 students per year and
world-renowned experts in ML, AI, DP and DS including Yoshua Bengio, Leslie
Kaelbling, Peter Norvig,
Alex 'Sandy' Pentland, Marc'Aurelio Ranzato, Ruslan Salakhutdinov, Josh
Tenenbaum, Naftali Tishby and Oriol Vinyals.
More info about our current and past editions can be found here:
https://acdl2020.icas.xyz/past-editions/


ACDL 2018 & ACDL 2019 Sold-out! Probably also ACDL 2020 ;-)


Early registration deadline: February 20, 2020
https://acdl2020.icas.xyz/registration/

Deadlines:
Oral/Poster Presentation Submission: February 20, 2020.
Notification of Decision for Oral/Poster Presentation: by March 12, 2020.
Early Registration: Until February 20, 2020.
Late Registration: After February 20, 2020.


LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.


SCOPE:
The Advanced Course is not a summer school suited only for younger
scholars. Rather, a significant proportion of seasoned investigators are
regularly present among the attendees, often senior faculty at their own
institutions. The balanced audience that we strive to maintain in each
Advanced Course greatly contributes to the development of intense
cross-disciplinary debates among faculty and participants that typically
address the most advanced and emerging areas of each topic.

Each faculty member presents lectures and discusses with the participants
for one entire day. Such long interaction together with the small,
exclusive Course size provides the uncommon opportunity to fully explore
the expertise of each faculty, often through one-to-one mentoring. This is
unparalleled and priceless.

The Certosa di Pontignano provides the perfect setting to a relaxed yet
intense learning atmosphere, with the stunning backdrop of the Tuscan
landscapes. World-class wines and traditional foods will make the Advanced
Course on Data Science and Machine Learning the experience of a lifetime.


VENUE & ACCOMMODATION:
The venue of ACDL 2020 will be The Certosa di Pontignano — Siena

Dr. Lorenzo Pasquinuzzi
The Certosa di Pontignano
Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany –
Italy
phone: +39-0577-1521104
fax: +39-0577-1521098
info at lacertosadipontignano.com
https://www.lacertosadipontignano.com/en/index.php

A few Kilometres from Siena, on a hill dominating the town stands the
ancient Certosa di Pontignano, a unique place where nature, history and
hospitality blend together in memorable harmony. Built in the 1300, its
medieval structure remains intact with additions of the following
centuries. The Certosa is centred on its historic cloisters and gardens.

https://acdl2020.icas.xyz/venue/

ACCOMMODATION:
https://acdl2020.icas.xyz/accommodation/

REGISTRATION:
https://acdl2020.icas.xyz/registration/

We remind you that ACDL 2018 and ACDL 2019 sold out a long time before the
registration deadline!
Anyone interested in participating in ACDL 2020 should register as soon as
possible!
Similarly for accommodation at the Certosa di Pontignano (the School
Venue), book your full board accommodation at the Certosa as soon as
possible!
All course participants should/must stay at the Certosa di Pontignano.

See you in Tuscany next July!
   ACDL 2020 Organizing Committee.

acdl at icas.xyz
https://acdl2020.icas.xyz
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mailman.srv.cs.cmu.edu/pipermail/connectionists/attachments/20191204/91aadfea/attachment.html>