- Geoffrey Hinton, who has worked for Google primarily in California since 2013, will soon be working permanently out of the tech giant’s Toronto offices and will be the Vector Institute’s chief scientific adviser.
- (Noah Berger / Associated Press file photo) By Kate AllenScience and Technology reporterTues., March 28, 2017Toronto will host a new institute devoted to artificial intelligence, a major gambit to bolster a field of research pioneered in Canada but consistently drained of talent by major U.S. technology companies like Google, Facebook and Microsoft.The Vector Institute, an independent non-profit affiliated with the University of Toronto, will hire about 25 new faculty and research scientists.
- More than two dozen companies have committed millions more over 10 years, including $5 million each from sponsors including Google, Air Canada, Loblaws, and Canada’s five biggest banks.The mode of artificial intelligence that the Vector Institute will focus on, deep learning, has seen remarkable results in recent years, particularly in image and speech recognition.
- Geoffrey Hinton, considered the “godfather” of deep learning for the breakthroughs he made while a professor at U of T, has worked for Google since 2013 in California and Toronto.Hinton will move back to Canada to lead a research team based at the tech giant’s Toronto offices and act as chief scientific adviser of the new institute.
- Academic institutions and startups in Toronto, Waterloo, Montreal and Edmonton boast leaders in the field, but other researchers have left for U.S. universities and corporate labs.The goals of the Vector Institute are to retain, repatriate and attract AI talent, to create more trained experts, and to feed that expertise into existing Canadian companies and startups.
Large companies including Google and Air Canada are sponsoring the Vector Institute, which intends to retain and repatriate the AI talent Canada is already producing.
Continue reading “New institute aims to make Toronto an ‘intellectual centre’ of AI capability”
- Toronto’s tech community is getting another big boost thanks to a new artificial intelligence institution that’s slated to open in the city.
- The Vector Institute, as the Toronto Star reports, will focus on both research and business-related ventures.
- As the Star writes, the Vector Institute will get $50 million from the province over five years and at least $40 million from the federal government as part of the newly announced $125-million Pan-Canadian Artificial Intelligence Strategy.
- Among the 30 corporate backers, sponsors include the big five banks, Google, Loblaws, and Air Canada.
- The institute is also affiliated with the University of Toronto.
Toronto’s tech community is getting another big boost thanks to a new artificial intelligence institution that’s slated to open in the city.
Continue reading “Toronto is building an institute for artificial intelligence”
- The solution may be in a shared segment of on-board telematics, part of the SLAM group (simultaneous localization and mapping) and sharing some of that data car-to-car.
- According to many in the autonomous vehicle (AV) industry we’re supposed to see self-driving cars on the road as early as 2018.
- At the March Strata+Hadoop conference in San Jose Ms. Jay White Bear, a lead IBM AV data scientist gave us a master class in SLAM (simultaneous localization and mapping) and just why the telematics are important.
- Right now there are essentially no vehicles (except test AVs and a handful of Teslas) sending these types of comprehensive telematics back to the mothership and essentially no vehicles communicating cooperatively with each other.
- When AVs finally hit the road there will finally be some robust telematics sent home but these will definitely not, as of now, be shared with other OEMs.
Summary: Autonomous Vehicles (AVs) are supposed to be just around the corner but the anecdotal evidence is that their claims to safety are way out ahead of re…
Continue reading “SLAM! The Sound of Autonomous Vehicles Colliding”
- Recently Gartner, Inc., revealed its top predictions for IT organizations and users for 2017 and beyond, focusing on three fundamental effects of continued digital innovation: experience and engagement, business innovation, and the secondary effects that result from increased digital capabilities.
- “Gartner’s top strategic predictions continue to offer a provocative look at what might happen in some of the most critical areas of technology evolution.
- At the core of future outcomes is the notion of digital disruption, which has moved from an infrequent inconvenience to a consistent stream of change that is redefining markets and entire industries,” said Daryl Plummer, managing vice president, chief of research and Gartner Fellow.
- “Last year, we said digital changes were coming fast.
- In this slideshow, Gartner has outlined the top predictions for IT organizations and users for 2017 and beyond.
Digital innovation is by far the biggest influencer, changing the way we do everything, from shopping to communication to running a business.
Continue reading “2017 and Beyond: How Digital Innovation Will Impact the World”
- Nvidia’s deep-learning chips may give medicine a shot in the arm.
- The company sees medicine as the next big market for its machine-learning hardware.
Nvidia says deep learning is about to revolutionize medicine
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- Copywriting is everywhere we look!
- Tweak your Copywriting today to skyrocket your conversions!
The 6 Ninja Techniques To Creating A ‘Quick-Fire’ 6 Figures Internet Business Day 2
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The web is a powerful medium to share new ways of thinking. Over the last few years we’ve seen many imaginative examples of such work. But traditional academic publishing remains focused on the PDF, which prevents this sort of communication.
Continue reading “Machine Learning Research Should Be Clear, Dynamic and Vivid. Distill Is Here to Help.”