Machine learning, and a more advanced technology called deep learning, are types of artificial intelligence that allow a computer to learn information based on the data it is given. Essentially, the more information the computer is given, the better it can learn -- and in the case of platforms like Spotify or Netflix, the more interaction you have with the program, the better it can recommend music, movies, or TV shows that you'll like.
The European and American competition authorities recently announced that they were investigating Google's Android operating system for smartphones. They accuse Google of abusing its dominant position to harm its competitors. These announcements are surprising given the dynamism of competition in the cellphone market.
As Canada strives to build an economy defined by innovation, our greatest resource to meet this challenge is walking through the classroom doors of our nation every morning wearing oversized Pokémon and Hello Kitty backpacks. It's never been more critical that we give our children the tools they need to become Canada's innovators of tomorrow.
Google has recently integrated AMP into its mobile search results. It claims pages will load "blazing fast," and viewers will be able to easily scroll without wasting time. Google explains pages built with AMP load approximately four-times faster and utilize 10-times less data than similar pages without AMP.
Deep learning is the buzzword of the moment inside tech circles and as the public plugs into what this breakthrough in artificial intelligence (AI) means for the future of technology, a number of common misconceptions have emerged. Below, our machine learning experts at Architech Labs clear up some of the confusion.
On the morning of Oct. 28, 2015, 12 pedestrians were struck by cars in the City of Toronto. While some would say it's the result of a wet, grey day, this statistic follows an average of six pedestrians being hit each day, a stunningly high number set to increase as density intensifies and our population ages.