IEEE Computational Intelligence Society UOttawa Student Chapter
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RECENT FACEBOOK POSTS
facebook.comA Machine Learning Approach to Identifying the Thought Markers of Suicidal Subjects: A Prospective Multicenter Trial - Pestian - 2016 - Suicide and Life-Threatening Behavior - Wiley Online Library
News in machine learning: Cincinnati Children's Hospital Medical Center found that machine learning is up to 93% accurate at correctly classifying a suicidal person, and 85% accurate at identifying a person with 3 categories( suicidal, has a mental illness but is not suicidal, or neither). http://onlinelibrary.wiley.com/doi/10.1111/sltb.12312/full
Technical Talk: "Biometric Encryption for Smartphone-based Electronic Travel Documents"
The Ottawa CI/SMC Joint Chapter and the uOttawa Computer Science Graduate Student Association invite you to a talk this Thursday, October 20th, 2016 from 6:30 - 8:30 PM, given by David Bissessar, a research scientist with the Advanced Analytics Division at the Canada Border Services Agency. This presentation is entitled "Privacy, security and convenience: biometric encryption for smartphone-based electronic travel documents".This event is free but registration is required via Eventbrite at the link below. This event will take place at the Graduate Student House, Room 307, 601 Cumberland St., Ottawa. Refreshments will be served. Register quickly as seats are limited! https://www.eventbrite.ca/e/technical-talk-biometric-encryption-for-smartphone-based-electronic-travel-documents-tickets-28515297021 We hope to see you there!
Good luck to all of the students for the upcoming weeks!
Chinese AI team plans to challenge Google's AlphaGo: state media
Chinese AI team plans to challenge Google's AlphaGo http://www.reuters.com/article/us-science-intelligence-go-idUSKCN0WX0NN
Portugal startup Unbabel's AI puts Google Translate to shame
Portuguese startup Unbabel combines artificial intelligence and languages to translate! http://www.geektime.com/2016/02/25/portugal-startup-unbabels-ai-puts-google-translate-to-shame/
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