Irish Conference on Artificial Intelligence and Cognitive Science

September 20-21 2016

University College Dublin

AICS 2016

December 2016: The proceedings of AICS2016 are now online with open access at

The 24th Irish Conference on Artificial Intelligence and Cognitive Science will be hosted by the UCD School of Computer Science and will take place at the UCD Science Centre on the Belfield Campus, from 20-21 September 2016.

With regular conferences dating back to 1988, the AICS Conference is Ireland's primary forum for researchers with interests in the fields of Artificial Intelligence and Cognitive Science. While once a niche area, the fields of Cognitive Science and Artificial Intelligence, which encompass Data Analytics, Information Retrieval, and Machine Learning, are now at the forefront of Irish computing research and industry. With this in mind, we are delighted to announce that, ending a short hiatus, AICS will return in 2016.


Travel information and conference registration is available here. A special reduced conference rate is available for students.

A full programme for the conference is now online. You can also follow us on Twitter for more updates.

Key Dates

Instructions for final paper submissions are now online. Important conference dates:

  • Deadline for the Full Paper and NECTAR Tracks — 18 July (extended)
  • Full Paper Acceptance Notification — 23 August
  • MSc Track Acceptance Notification — 30 August
  • Final Paper Submissions — 5 September
  • Conference — 20‐21 September

Keynote Speaker

Prof. Padhraic Smyth — “Promise and Peril in Machine Learning”
[Slides PDF]
Professor, Department of Computer Science
Director, UCI Data Science Initiative
University of California, Irvine

Prof. Padhraic Smyth Padhraic Smyth is a Professor in the Department of Computer Science, with a joint appointment in the Department of Statistics, at the University of California, Irvine (UCI). He is also the director since 2014 of the UCI Data Science Initiative. His research interests include machine learning, data mining, pattern recognition, and applied statistics and he has published over 160 papers on these topics. Padhraic received a first class honors degree in Electronic Engineering from National University of Ireland (Galway) in 1984, and the MSEE and PhD degrees in Electrical Engineering from the California Institute of Technology. He is an ACM Fellow (2013), a AAAI Fellow (2010), and a recipient of the ACM SIGKDD Innovation Award (2009). He is co-author of the text Modeling the Internet and the Web: Probabilistic Methods and Algorithms (with Pierre Baldi and Paolo Frasconi in 2003) and Principles of Data Mining, MIT Press (with David Hand and Heikki Mannila in 2001).