BEGIN:VCALENDAR VERSION:2.0 PRODID:ILLC Website X-WR-TIMEZONE:Europe/Amsterdam BEGIN:VTIMEZONE TZID:Europe/Amsterdam X-LIC-LOCATION:Europe/Amsterdam BEGIN:DAYLIGHT TZOFFSETFROM:+0100 TZOFFSETTO:+0200 TZNAME:CEST DTSTART:19700329T020000 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=-1SU END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:+0200 TZOFFSETTO:+0100 TZNAME:CET DTSTART:19701025T030000 RRULE:FREQ=YEARLY;BYMONTH=10;BYDAY=-1SU END:STANDARD END:VTIMEZONE BEGIN:VEVENT UID:/NewsandEvents/Archives/2018/newsitem/9640/27- February-2018-Cognitive-Computation-Symposium-CoCo Sym-2018-Thinking-Beyond-Deep-Learning-London-Engl and DTSTAMP:20180129T151055 SUMMARY:Cognitive Computation Symposium (CoCoSym 2 018): Thinking Beyond Deep Learning, London, Engla nd DTSTART;VALUE=DATE:20180227 DTEND;VALUE=DATE:20180227 LOCATION:London, England DESCRIPTION:Using "Cognitive Computation" as joint umbrella term and final aim, this symposium bring s together established leaders in the fields of ne ural computation, logic and artificial intelligenc e, knowledge representation, natural language unde rstanding, machine learning, cognitive science and computational neuroscience. They are invited to s hare their views on the 3 "Big Questions": - Wil l development in Deep Learning completely solve th e problem(s)of Artificial Intelligence? - If not , how could and/or should AI and ML continue towar ds such a general solution? - What is going to b e "the next big thing" that lets us build beyond t he recent success of Deep Learning? X-ALT-DESC;FMTTYPE=text/html:\n
Using "Co
gnitive Computation" as joint umbrella term a
nd final aim, this symposium brings together estab
lished leaders in the fields of neural computation
, logic and artificial intelligence, knowledge rep
resentation, natural language understanding, machi
ne learning, cognitive science and computational n
euroscience. They are invited to share their views
on the 3 "Big Questions":
\n
- Will development in Deep Learning completely sol
ve the problem(s)of Artificial Intelligence?
\n
- If not, how could and/or should AI and M
L continue towards such a general solution?
\n
- What is going to be "the next big th
ing" that lets us build beyond the recent suc
cess of Deep Learning?