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Cabin crew pair hurt as landing plane steers to avoid drone over Toronto
TORONTO/OTTAWA – Officials say a Porter Airlines flight approaching Toronto's island airport took evasive action to avoid a suspected drone, injuring two flight attendants. Julie Leroux of Canada's Transportation Safety Board said the near collision occurred at 7:30 a.m. Leroux says the object involved in the near-miss was likely an unmanned aerial vehicle. Porter spokesman Brad Cicero says two flight attendants sustained minor injuries. They were taken to a hospital and released.
Kitt.AI's ChatFlow Encourages Developers To Build Better Chatbots
To encourage developers to build better chatbots, Seattle-based start-up, KITT.AI, has launched ChatFlow in private beta. ChatFlow framework makes it easier for developers to build better chatbots that can hold multi-turn conversations and work on multiple platforms. In 2015, Xuchen Yao was inspired to build KITT.AI when he realized there where "no good dialogue systems, and no good tools to create good dialogue systems," he said. KITT.AI originally focused on Amazon's Alexa platform, then received Amazon's Alexa Fund in 2015, and that's when Yao set out to build his talented team. How did the KITT.AI team meet?
Reinforcement Learning - Part 1
I'm going to begin a multipart series of posts on Reinforcement Learning (RL) that roughly follow an old 1996 textbook "Reinforcement Learning An Introduction" by Sutton and Barto. From my research, this text still seems to be the most thorough introduction to RL I could find. The Barto & Sutton text is itself a great read and is fairly approachable even for beginners, but I still think it's worth breaking down even further. It still amazes me how most of machine learning theory was established decades ago yet we've seen a huge explosion of interest and use in just the past several years largely due to dramatic improvements in computational power (i.e.
Google Play Music got prettier and now uses machine learning
Google Play Music is getting a much-needed overhaul starting this week, both inside and out. Google is revamping its Play Music streaming app for Android, iOS and Web to focus heavily on context and personalization. Using machine learning to figure out what music you want to listen to, the app will suggest songs and playlists depending on what time and day it is, where you are, what the local weather is, and other factors that could possibly affect your mood and musical preferences. The update will see a gradual global roll-out, starting this week on Android, iOS and the web version of Google Play Music. "When you opt in, we'll deliver personalized music based on where you are and why you are listening -- relaxing at home, powering through at work, commuting, flying, exploring new cities, heading out on the town, and everything in between," Google says in a blog post.
BigML Fall 2016 Release and Webinar: Topic Models and More!
BigML's Fall 2016 Release is here! Join us on Tuesday, November 29, at 10:00 AM PST (Portland, Oregon / GMT -08:00) / 07:00 PM CET (Valencia, Spain / GMT 01:00) for a FREE live webinar to get a first look at the latest version of BigML! We'll be focusing on Topic Models, the latest resource that helps you […] Source link
How Pinterest reached 150 million monthly users (hint: it involves machine learning)
I find myself being summoned from various directions, as if I've just stepped into a party with my closest friends. Many pins I see are interesting to me -- it's a pleasant feeling. A house with a window lined with dark brown wooden shutters. A shelf made from the back of an iMac. A media console on wheels with iron legs and wooden slats.
Zugata raises $7 million to make annual performance reviews obsolete
Even before they began to graduate from college, millennials drove changes at work, from management and recruiting practices to the design of office interiors. But companies are still adapting and figuring out what matters most to this large demographic and employee base. Now, a tech startup called Zugata has raised $7 million in Series A venture funding to replace the crusty old performance review with something more motivating to this group than a twice-a-year, managerial write-up. Investors in Zugata's new round included Canaan Partners, General Catalyst and Redpoint Ventures. Founded in 2014, Palo Alto-based Zugata developed software as a service that automatically figures out who employees work with most, and then helps them gather feedback from each other, directly, without managers or HR departments eavesdropping.
Artificial intelligence will 'inevitably' destroy millions of jobs
Artificial intelligence will'inevitably' destroy millions of jobs and could bring down governments Automation so far dominates automotive, electrical and electronics fields Report warns shift could take two-thirds of jobs in developing countries And, some may put more focus on low-wage jobs that robots can't yet do And, some may put more focus on low-wage jobs that robots can't yet do The poll among 224 venture capitalists attending the Web summit in Lisbon found 53 percent believed AI would destroy millions of jobs and 93 percent saw governments as unprepared for this. Scientists to unleash killer bacteria to try and... Could a folding phone save Samsung? Firm patents radical... Do YOU count on your fingers? Experts say it could actually... Eyes on the prize: Hundreds queue for Snapchat's Spectacles... Scientists to unleash killer bacteria to try and... Could a folding phone save Samsung? Firm patents radical... Do YOU count on your fingers?
Investors see artificial intelligence destroying millions of jobs - poll
LISBON Investors believe it is "inevitable" that artificial intelligence will destroy millions of jobs and that governments are unprepared for such an impact, according to a survey published on Thursday. Artificial intelligence (AI), or the process by which computers or robots take on tasks that need human intelligence, is one of the key themes of this week's Web Summit in Lisbon. The poll among 224 venture capitalists attending the conference showed 53 percent believed AI would destroy millions of jobs and 93 percent saw governments as unprepared for this. The survey also found that 83 percent of the investors canvassed expect Britain's exit from the European Union to damage Europe's economy and 77 percent believe it will damage British startups. London is widely seen as the main tech startup hub in Europe, thanks to its large pool of talent and a much bigger pool of funding than in rival centres.