Cristina Conati Invited to Speak at GFAIH
Cristina Conati will be an invited speaker at the Global Forum on AI for Humanity (GFAIH), an international and multidisciplinary event, organized under the auspices of the French government, that aims to ensure that the progression of A...
NeurIPS 2019 Accepted Papers
NeurIPS 2019 This year marks the 33rd annual Conference on Neural Information Processing Systems, a workshop and conference hosted by the Neural Information Processing Systems Foundation that is more casually referred to as NeurIPS. The...
Cristina Conati awarded funding from the CIFAR AI and Society Initiative
Cristina Conati has been awarded funding (~40K) from the CIFAR AI and Society Initiative to run a workshop on Trust in AI Systems with three co-organizers (see short summary below). This is a joint initiative among CIFAR, France's Cent...
UBC lands four more CIFAR AI Chairs
Four UBC computer scientists have been appointed to chairs as part of an expansion of the Canada-CIFAR AI research program (see the UBC press release, on which this news item is based.) The AI program, funded by the Federal government w...
Cristina Conati named AAAI Senior Member
The Association for the Advancement of Artificial Intelligence awards this status to recognize members who have achieved significant accomplishments within the field of artificial intelligence. Cristina is one of ten researchers honored ...
AAAI AI Debate moderated by Kevin Leyton-Brown
An entertaining debate on the future of AI was just held at AAAI, one of the top AI conferences: https://player.vimeo.com/video/314378703?autoplay=1#t=1h7m0s …. The chair and organizer was our own Kevin Leyton-Brown. The debaters were ab...
CAIDA member Sara Mostafavi awarded a CIFAR AI Chair
Sara Mostafavi, a CAIDA member and an Assistant Professor of Statistics at UBC, has been awarded a prestigious CIFAR AI Chair. From CIFAR's press release: An important pillar of the Pan-Canadian AI Strategy, the Canada CIFAR AI Chairs...
CAIDA Professor Nick Harvey and collaborators win Best Paper Award at the NeurIPS 2018 Conference
Professor Nick Harvey and his collaborators give a new solution to a classical question: how many samples must one draw from a Mixture of Gaussians distribution in order to find a distribution that approximates it well? Their paper title...