[Storage-research-list] 1st CfP ACDL 2022, 5th Online & Onsite Advanced Course on Data Science & Machine Learning | August 22-26, 2022 | Certosa di Pontignano, Italy - Early Registration: by March 23

Sun Jan 9 15:23:36 EST 2022

#ACDL2022, An Interdisciplinary Course: #BigData, #DeepLearning &
#ArtificialIntelligence without Borders

ACDL 2022 – A Unique Experience:
#DataScience, #MachineLearning & #ArtificialIntelligence with the World’s
Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano

(Online attendance available)

Certosa di Pontignano, Castelnuovo Berardenga (Siena) - #Tuscany, Italy
August 22-26
https://acdl2022.icas.cc   acdl at icas.cc

ACDL 2022 (as ACDL 2021 and ACDL 2020): an #OnlineAndOnsiteCourse
https://acdl2022.icas.cc/acdl-2022-as-acdl-2021-and-acdl-2020-an-online-onsite-course/

REGISTRATION: Early Registration: by March 23
https://acdl2022.icas.cc/registration/

DEADLINES:
Early Registration: by Wednesday March 23 (AoE)
Oral/Poster Presentation Submission Deadline: Wednesday March 23 (AoE)
Late Registration: from Thursday March 24
Accommodation Reservation at Reservation at the Certosa di Pontignano: by
Monday May 23
Notification of Decision for Oral/Poster Presentation: by Thursday June 23

LECTURERS:
Each Lecturer will hold three/four lessons on a specific topic.
https://acdl2022.icas.cc/lecturers/

* Silvio Savarese, Salesforce  & Stanford, University, USA Institute for
Human-Centered Artificial Intelligence

* Mihaela van der Schaar, University of Cambridge, UK

More Keynote Speakers to be announced soon.

PAST LECTURERS:
https://acdl2022.icas.cc/past-lecturers/

Ioannis Antonoglou, Google DeepMind, UK
Igor Babuschkin, DeepMind - Google, London, UK
Pierre Baldi, University of California Irvine, USA
Roman Belavkin, Middlesex University London, UK
Yoshua Bengio, Head of the Montreal Institute for Learning Algorithms
(MILA) & University of Montreal, Canada
Bettina Berendt, TU Berlin, Weizenbaum Institute, and KU Leuven
Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian
Federation
Chris Bishop, Microsoft, Cambridge, UK, and Laboratory Director at
Microsoft Research Cambridge & University of Edinburgh
Michael Bronstein, Twitter & Imperial College London, UK
Sergiy Butenko, Texas A&M University, USA
Silvia Chiappa, DeepMind, London, UK
Giuseppe Di Fatta, University of Reading, UK
Oren Etzioni, Allen Institute for AI, USA, and CEO at Allen Institute for AI
Aleskerov Z. Fuad, National Research University Higher School of Economics,
Russia
Marco Gori, University of Siena, Italy
Georg Gottlob, Computer Science Dept, University of Oxford, UK
Yi-Ke Guo, Imperial College London, UK
Phillip Isola, MIT, USA
Michael I. Jordan, University of California, Berkeley, USA
Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA
Diederik P. Kingma, Google Brain, San Francisco, CA, USA
Ilias S. Kotsireas, Wilfrid Laurier University, Canada
Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK
Risto Miikkulainen, University of Texas at Austin, USA
Peter Norvig, Director of Research, Google
Panos Pardalos, University of Florida, USA
Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory,
USA
José C. Principe, University of Florida, USA
Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA
Dolores Romero Morales, Copenhagen Business School, Denmark
Daniela Rus, MIT, USA, and Director of CSAIL
Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple,
USA
Guido Sanguinetti, The University of Edinburgh, UK
Cristina Savin, New York University, Center for Neural Science & Center for
Data Science, USA
Josh Tenenbaum, MIT, USA
Naftali Tishby, Hebrew University, Israel
Isabel Valera, Saarland University, Germany, and Max Planck Institute for
Intelligent Systems, Tübingen, Germany
Mihaela van der Schaar, University of Cambridge, and Director of Cambridge
Centre for AI in Medicine
Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands
Oriol Vinyals, Google DeepMind, UK

SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and
industry practitioners will be typical profiles of the attendants. In fact,
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 and junior 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:
The venue of ACDL 2022 will be The Certosa di Pontignano — Siena

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
Contact persono: Dr. Lorenzo Pasquinuzzi

A few Kilometers 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 centered on its historic cloisters and gardens.

https://acdl2022.icas.cc/venue/

PAST EDITIONS: https://acdl2022.icas.cc/past-editions/
https://acdl2018.icas.xyz
https://acdl2019.icas.xyz
https://acdl2020.icas.xyz/https://acdl2021.icas.cc/

REGISTRATION:
https://acdl2022.icas.cc/registration/

CERTIFICATE:A certificate of successful participation in the event will be
delivered indicating the number of hours of lectures.

ACDL 2022 Poster:
https://acdl2022.icas.cc/wp-content/uploads/sites/19/2021/12/poster-ACDL-2022-1.png

Anyone interested in participating in ACDL 2022 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 must stay at the Certosa di Pontignano.

See you in 3D or 2D :) in Tuscany in August!
                               ACDL 2022 Directors.

https://acdl2022.icas.cc/category/news/

https://acdl2022.icas.cc/faq/

acdl at icas.cc
https://acdl2022.icas.cc
https://www.facebook.com/groups/204310640474650/
https://twitter.com/TaoSciences

* Apologies for multiple copies. Please forward to anybody who might be
interested *
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