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Timnit Gebru, Research Scientist in the Ethical AI Team at Google, discusses the effects of bias in artificial intelligence. Timnit shares with Bloomberg that "we can try to mitigate bias and we can try to mitigate the effects of bias".

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Yosinski is performing a kind of brain surgery on the AI running on his laptop. Like many of the AIs that will soon be powering so much of modern life, this program is a deep neural network, with an architecture loosely inspired by the brain. And like the brain, the program is hard to understand from the outside: It’s a black box.

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“We need fundamental additions to this toolbox we have created to reach machines that operate at the level of true human understanding,” Dr. Bengio said. Though these systems have undeniably accelerated the progress of artificial intelligence, they are still a very long way from true intelligence. But Drs. Hinton, LeCun, and Bengio believe that new ideas will come.

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"The Big Innovation Centre argues that the government needs to establish a data charter with stakeholders on what can be done with personal and business data, so that everyone will know how their data is used and not used."

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There are some estimates that five percent of all AI talent within the private sector are currently employed by Google. Perhaps no one among that rich talent pool has as deep a set of perspectives as Geoff Hinton. He has been involved in AI research since the early 1970s, which means he got involved before the field was really defined.

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Speakers

Extraordinary Speakers

Discover advances in deep learning algorithms and methods from the world's leading innovators. Learn from industry experts in speech & pattern recognition, neural networks, image analysis and NLP. Explore how deep learning will impact healthcare, manufacturing, search & transportation.

Tech

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The summit will showcase the opportunities of advancing trends in deep learning and their impact and successful applications in business. Where do the challenges still lie in research and application? Learn the latest technological advancements & industry trends from a global line-up of experts.

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A unique opportunity to interact with industry leaders, influential technologists, data scientists & founders leading the deep learning revolution. Learn from & connect with 450+ industry innovators sharing best practices to advance the smart artificial intelligence revolution.

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Who Should Attend

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Topics we cover

Neural Networks
Neural Networks
NLP
NLP
Computer Vision
Computer Vision
Pattern Recognition
Pattern Recognition
Speech Recognition
Speech Recognition
AI Assistants
AI Assistants
Image Retrieval
Image Retrieval
Autonomous Vehicles
Autonomous Vehicles

Regular Attendees Include

Amazon
RBC
Philips
CBC Radio Canada
MIT
Qualcomm
Element AI
kpmg
Siemens
Google
toronto uni
HSBC
sas
Shopify
Vanguard
Ubisoft
Bell
deloitte
WeWork
Tinder
Uber
Apple
Target
Goodyear
huawei
Scotiabank
Microsoft
BBC
facebook
Universite de Montreal

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