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Events

Monday, January 9, 2017 — 8:30 AM EST to Thursday, April 13, 2017 — 10:00 PM EDT
Tesatawiyat

Tesatawiyat (Come in) is a community photography project led by Bryce Kanbara and photographer Mina Ao, with members of the Aboriginal community in the Hamilton area sharing their stories in their homes.

Thursday, January 12, 2017 — 12:00 PM to Saturday, March 4, 2017 — 5:00 PM GMT
UWAG logo and waving flag that says "My arrival is your undoing."

A group exhibition featuring 16 multidisciplinary artist projects addressing issues of migration, immigration, and identity. Circulated by the Koffler Gallery.

 
Monday, February 6, 2017 — 9:00 AM to Saturday, February 25, 2017 — 11:59 PM EST
Velocity Fund $25K Applications Open

Velocity Fund $25K Applications are open! The Velocity Fund is a non-equity grant program for startups that offers $375,000 each year to startups through its Velocity Fund $25K and Velocity Fund $5K programs.

Three times a year, startups can apply to compete for $25,000 prizes, as well as an extra $10,000 in additional funding awarded to the most innovative hardware startup winner. The top applicants are invited to interview with a panel of Velocity leaders and alumni, and if selected, present their pitches at the 
Velocity Fund Finals on March 30.

Monday, February 6, 2017 — 1:00 PM EST to Saturday, April 29, 2017 — 12:45 PM EDT
lesbian gay bisexual trans queer + making spaces logo

Sponsored by the Equity Office, the Making Spaces program is a framework for creating affirming spaces on campus and fostering interpersonal relationships through education and training on aspects of social identity. UW community members partake in training and a registration process to become Space Makers, ambassadors of equity.

Thursday, February 16, 2017 — 9:58 AM to Friday, February 24, 2017 — 11:59 PM EST

The Library is asking University of Waterloo graduate students and faculty members to participate in a national survey on journal usage to inform collection development and negotiations. The journal usage survey, coordinated by the Canadian Research Knowledge Network (CRKN) is accessed by email.

Tuesday, February 21, 2017 — 10:30 AM to 11:30 AM EST
MBET alumnus Alex Gogan

Learn more about Waterloo's MBET program by attending our live online information session.

Tuesday, February 21, 2017 — 11:30 AM to 1:00 PM EST

According to Statistics Canada (2008) one-third of Canadians aged 45 and older provides some form of care to seniors living with long-term health problems, for example, Alzheimer's disease or other type of dementia. Because of the aging population, the number of people living with dementia is expected to double in the next 15 years, and as a result, the number of family caregivers is also likely to increase.

Tuesday, February 21, 2017 — 11:30 AM to 1:00 PM EST

Are you caring for a family member living with Alzheimer’s disease or other form of dementia? Or do you work alongside a partner in care for someone with Alzheimer’s disease or other form of dementia? If so, this three-part learning series is for you!

Tuesday, February 21, 2017 — 2:30 PM EST
Alex Wong

Deep learning has given rise to a major revolution in the field of artificial intelligence (AI). A major challenge with the democratization and proliferation of deep learning as commodity AI for all is the sheer complexity of current deep neural networks, making them ill-suited for operational use in a large number of scenarios. Taking inspiration from biological evolution, this talk explores the idea of "Can deep neural networks evolve naturally over successive generations into highly efficient deep neural networks?". Recent findings will be presented that support such an evolutionary synthesis paradigm for achieving operational deep intelligence across a wide variety of scenarios.

Tuesday, February 21, 2017 — 2:30 PM to 4:00 PM EST
Waterloo Institute for Complexity & Innovation

Deep learning has given rise to a major revolution in the field of artificial intelligence (AI). A major challenge with the democratization and proliferation of deep learning as commodity AI for all is the sheer complexity of current deep neural networks, making them ill-suited for operational use in a large number of scenarios. Taking inspiration from biological evolution, this talk explores the idea of "Can deep neural networks evolve naturally over successive generations into highly efficient deep neural networks?". Recent findings will be presented that support such an evolutionary synthesis paradigm for achieving operational deep intelligence across a wide variety of scenarios.

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