- At the front and center of this emerging intelligent cloud is Machine Learning (ML), which is undoubtedly the most disruptive technology of this decade.
- The bottom line is that the cloud has all essential components – ample compute power, abundant storage backend, massive amount of data – to deliver compelling Machine Learning capabilities.
- This new ability is enabling cloud providers to offer scalable Machine Learning platform in the cloud.
- Cloud providers are offering next generation of services that are based on ML.
- The next generation cloud powered by Machine Learning will offer services for building applications based on cognitive computing, predictive analytics, intelligent Internet of Things, interactive personal assistants and bots.
Machine Learning is slowly but steadily taking over the cloud. The adoption of this brand-new cloud will not only result in better revenues for the providers but also helps them deliver better capabilities that are driven by data.
Continue reading “Welcome To The Era Of Intelligent Cloud Powered By Machine Learning”
- According to Samsung, it sure can, and that’s what it the company out to prove with its Bixby AI service.
- Bixby is being loaded on the Galaxy S8 and S8+ smartphones, which were announced on Tuesday.
- Bixby is an agent that can help the smartphones talk, recommend, and remind, said Mok Oh, vice president of service strategy at Samsung.
- The AI service is being positioned as a more intuitive way to use and interact with smartphones.
- For example, Bixby can help smartphones execute tasks with a voice command.
5 things the Samsung Galaxy S8’s Bixby artificial intelligence service will do
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- The Vector Institute for Artificial Intelligence, made possible by funding from the federal government revealed in the 2017 budget, will move into new digs in the MaRS Discovery District by the end of the year.
- Vector’s funding comes partially from a $125 million investment announced in last Wednesday’s federal budget to launch a pan-Canadian artificial intelligence strategy, with similar institutes being established in Montreal and Edmonton.
- [A.I.] cuts across pretty well every sector of the economy,” said Dr. Alan Bernstein, CEO and president of the Canadian Institute for Advanced Research, the organization tasked with administering the federal program.
- Critical to the strategy’s success is building a homegrown base of A.I. experts and innovators — a problem in the last decade, despite pioneering work on so-called “Deep Learning” by Canadian scholars such as Yoshua Bengio and Geoffrey Hinton, a former University of Toronto professor who will now serve as Vector’s chief scientific advisor.
- The hope is that investment from the government and from companies will continue to grow into the future, giving Toronto and Canada a chance to retake “dominance” in what Clark describes as “the most significant technological change over the next twenty years.”
Thanks to a cash infusion from two levels of government and the private sector, Toronto and Canada are back in the ring to re-take “dominance” in artificial intelligence.
Continue reading “Canada ‘lost the lead’ on artificial intelligence. Here’s how Toronto will get it back”
Over the next decade, Artificial Intelligence will fundamentally reshape vast swathes of our lives. The world of business is primed for this change in three core areas – to the employment landscape, to employee productivity, and to new customer experiences.
According to McKinsey, Artificial
Continue reading “4 Key AI Questions Every Business Leader Must Ask”
- Managing data flowing to and from these devices back to the enterprise can be compl… Today, it seems like we’re reading about more advanced and intelligent kiosk implementations across every industry.
- The good news is that cloud computing is relatively new by IT’s standards, which means it’s constantly expanding to encompass new career… The IT industry is undergoing a significant evolution to keep up with cloud application demand.
- The good news is that cloud computing is relatively new by IT’s standards, which means it’s constantly expanding to encompass new career…
Trends as Internet of things (IoT), distributed IT, data sovereignty requirements, and pervasive security concerns are combining to challenge how IT operates.
- For them, that means moving functions like HR, finance, taxes and scheduling to SaaS, while spending their software development time and resources on the core apps that make GE better, such as inventory, planning and sales.
- Like cloud, big data, and the Internet of Things (IoT) before it, blockchain is the tech industry’s latest Next Big Thing.
Choosing a programming framework for a small business can be overwhelming- there are so many. Here are a few of the best choices, to help you get started.
Continue reading “The Best Programming Languages”
Once computers start to think, we’re all in trouble. From Ash to Bishop to David, the Alien franchise has become known for its android characters, and we’l
Continue reading “Ridley Scott Talks Artificial Intelligence in ‘Alien: Covenant’ Featurette”
- 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”