BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Mountain BEGIN:DAYLIGHT DTSTART:20190310T030000 TZOFFSETFROM:-0700 TZOFFSETTO:-0600 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:MDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0600 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:MST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20181122T165546Z UID:65EF3BEA-B60E-4E9E-B7B8-15D42D481DA6 DTSTART;TZID=Canada/Mountain:20181120T180000 DTEND;TZID=Canada/Mountain:20181120T203000 DESCRIPTION:Artificial Intelligence (AI) has been enjoying a great deal of interest in the recent years owing to its successful applications reported in various areas including robotics\, computer vision\, and a plethora of systems engaging natural language processing. Data Science becomes instru mental in data analysis discovering essential dependencies and building pr ediction and classification models.\n\nWe advocate that bringing the conce pts\, methodologies\, and formal frameworks of Granular Computing into the area of AI and Data Science can open new and promising avenues of further research and applications. Granular Computing is defined as a coherent an d unified platform of acquiring\, processing and communication of informat ion granules delivering a highly needed abstraction mechanism.\n\nThe talk is self-contained: the principles and formalisms of information granules along with their underlying design principles are discussed in detail. It is shown that the notion of information granularity assumes an important p osition by bridging the gap between symbolic and sub-symbolic way of proce ssing realized in AI.\n\nThe roles of information granules in various facu lties of AI such as knowledge representation\, concept formation and their hierarchical organization\, problem solving mechanisms are elaborated in detail. It is also emphasized that information granules play a visible rol e in revealing and characterizing interpretable relationships (dependencie s) in data.\n\nSpeaker(s): Witold Pedrycz\, \n\nAgenda: \n5:30pm: Doors op en\n\n5:30-6:00pm: Networking and Refreshments\n\n6:00-8:30pm: Presentatio n\n\nRoom: 1-003\, Bldg: ETLC \, 116 St NW\, Edmonton\, Alberta\, Canada\, AB T6G 2V4 LOCATION:Room: 1-003\, Bldg: ETLC \, 116 St NW\, Edmonton\, Alberta\, Canad a\, AB T6G 2V4 ORGANIZER:hugo.ayres@atco.com SEQUENCE:12 SUMMARY:Granular Computing: Pursuing New Frontiers of Artificial Intelligen ce and Data Science URL;VALUE=URI:https://events.vtools.ieee.org/m/179706 X-ALT-DESC:Description: <br /><p>Artificial Intelligence (AI) has been enjo ying a great deal of interest in the recent years owing to its successful applications reported in various areas including robotics\, computer visio n\, and a plethora of systems engaging natural language processing. Data S cience becomes instrumental in data analysis discovering essential depende ncies and building prediction and classification models.</p>\n<p>We advoca te that bringing the concepts\, methodologies\, and formal frameworks of G ranular Computing into the area of AI and Data Science can open new and pr omising avenues of further research and applications. Granular Computing i s defined as a coherent and unified platform of acquiring\, processing and communication of information granules delivering a highly needed abstract ion mechanism.</p>\n<p>The talk is self-contained: the principles and form alisms of information granules along with their underlying design principl es are discussed in detail. It is shown that the notion of information gra nularity assumes an important position by bridging the gap between symboli c and sub-symbolic way of processing realized in AI.</p>\n<p>The roles of information granules in various faculties of AI such as knowledge represen tation\, concept formation and their hierarchical organization\, problem s olving mechanisms are elaborated in detail. &nbsp\;&nbsp\;It is also empha sized that information granules play a visible role in revealing and chara cterizing interpretable relationships (dependencies) in data.</p><br /><br />Agenda: <br /><p>5:30pm:&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp\;&nbsp \;&nbsp\;&nbsp\;&nbsp\;&nbsp\; Doors open</p>\n<p>5:30-6:00pm:&nbsp\;&nbsp \;&nbsp\; Networking and Refreshments</p>\n<p>6:00-8:30pm:&nbsp\; &nbsp\; Presentation</p> END:VEVENT END:VCALENDAR