Date/Time
Date(s) - 09/12/2016
9:30 am - 5:00 pm
Location
Edinburgh Napier University
The first general meet-up of the new SICSA Artificial Intelligence Research Theme will take place on Friday 9 December at Edinburgh Napier University.
Artificial Intelligence (AI) is a broad area: it covers reasoning, planning, knowledge representation, sensory perception, language understanding, learning, optimisation and other related areas, and has been approached in a variety of ways, ranging from biologically inspired ideas (including neural networks), to logic (of various sorts), to emulation of experts.
The aim of this, and future theme meetings are:
- Strengthen research collaborations between SICSA members working in AI and related disciplines, leading to long-lasting interdisciplinary research partnerships;
- Stimulate improved collaboration between the various research sub-groups to identify new and emerging research areas;
- Share knowledge, expertise and tools to enhance AI research
The schedule for the day is:
0930-1000: Arrival and coffee
1000-1010: Welcome address from Principal of Napier University
1010-1030: Introduction to the day: aim of the meeting, and outline of the day: LSS and EH
1030-1115: Research Snapshots Session 1 (PechaKucha[1])
1115-1140: Coffee
1140-1225: Research Snapshots session 2 (PechaKucha)
1225-1250: Collation of Delegates Research Topics (Well-sorted[2])
1250-1400: Lunch
1400-1415: Research Topics: Grouping (Well-sorted stage 2)
1415-1500: Research Snapshots session 3 (Pecha-Kucha)
1500-1505: Research Topic Groups revealed (Well-sorted stage 3)
1505-1600: Coffee and Group discussions
1600-1640: Feedback from groups
1640-1700: Summing up, and discussion of next stage for AI Theme
1700 onwards: delegates retire to nearby hostelry to continue discussions.
[1] For information of PekkaKucha, see http://www.pechakucha.org
[2] For more information on Well sorted, see http://www.well-sorted.org
The Research Theme Leaders for Artificial Intelligence are Professor Emma Hart (e.hart@napier.ac.uk) and Professor Leslie Smith (l.s.smith@cs.stir.ac.uk).