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Microsoft's 'Smart Mirror' Can Read Your Emotions

Huffington Post - Tech news and opinion

Microsoft unveiled a smart mirror at a technology conference held in Singapore last month that allows users to view both their reflections and relevant information like the time, weather and traffic directions. Microsoft's Magic Mirror is a one-way mirror with a 23.6-inch LCD-lit screen behind it that displays white UI elements on a dark background. The device runs on a Raspberry Pi 3 microcomputer and uses Windows Hello technology to conduct facial recognition. The Magic Mirror's facial recognition system can recognize eight different emotions, including anger, happiness and surprise. Microsoft's Cognitive Services Face API matches a person's face to their profile, and allows the mirror to display information relevant to that person's mood.


Donald Trump gets crash course in policy to face off against Hillary Clinton

Los Angeles Times

Far from the packed arenas and showy lights of the campaign trail, the education of Donald Trump has quietly begun. The unlikely Republican presidential candidate who rose to popularity as a political outsider is now preparing for a general election battle against one of the most experienced policy professionals ever to run for president, presuming Hillary Clinton becomes the Democratic nominee. So as Trump's team begins to ready the candidate for the fall debates and drafts a series of speeches, including one on the U.S. economy, the New York businessman with no elected experience is cramming to get up to speed, consulting experts, asking questions and refining his ideas in anticipation of certain assault by Democrats. The crash courses in foreign and domestic policy are a rite of passage for virtually every presidential candidate. But they carry even greater importance for Trump, who has mocked the Washington establishment as overcomplicating problems and won over many voters with simple ideas that often lack details: build a wall to stop illegal immigration, defeat Islamic State, bring back jobs, make America great again. The campaign has tapped many of the usual sources to school the candidate.


Uber planning to bring Deliveroo competitor UberEATs food delivery service to UK

The Independent - Tech

Nasa has announced that it has found evidence of flowing water on Mars. Scientists have long speculated that Recurring Slope Lineae -- or dark patches -- on Mars were made up of briny water but the new findings prove that those patches are caused by liquid water, which it has established by finding hydrated salts. Several hundred camped outside the London store in Covent Garden. The 6s will have new features like a vastly improved camera and a pressure-sensitive "3D Touch" display


Microsoft Is Not Making A Self-Driving Car But Wants To Enable Others To Build Autonomous Vehicles

International Business Times

It seems like every week there are reports about another tech company working on autonomous cars or hinting they might be doing so, which is why it is so refreshing to hear Microsoft categorically ruling itself out of the race. While companies like Ford, Toyota and General Motors are all working hard to build their own driverless car technology, they are facing competition not only from the traditional car industry but from the tech industry too. Google, Tesla and Faraday Future are all looking to disrupt the car industry with Apple widely expected to join them in the coming years. Microsoft, however, won't be competing on this level. "We won't be building our own autonomous vehicle," Peggy Johnson, who heads business development for Microsoft, said at the Wall Street Journal's Convergence conference in Hong Kong on Friday -- though she added "we would like to enable autonomous vehicles and assisted driving as well." Johnson spoke about the ability to use Cortana, Microsoft's voice-activated personal assistant, which is available on its desktop and mobile software, in the car, besides leveraging products like the company's Azure cloud computing network, Office 365 suite of apps as well as Windows to improve passengers' experiences.


The Way We Interact With Technology Is About to Change Fundamentally

TIME - Tech

For as long as computers have been part of our lives, we have interacted with them through touch. We're used to pecking keys, swiping trackpads, and tapping touchscreens to tell a computer we want to open a certain app or visit a specific website. But it is quickly becoming clear we are entering a new phase of digital interaction as technology giants Amazon, Apple, and Google bet on voice-based systems. Mary Meeker, a general partner at Kleiner Perkins Caufield & Byers, dedicated an important portion of her annual presentation on the state of the Web to the rise of voice search. To be sure, the technology has existed for decades and been prevalent for several years.


Video Blog: Machine Learning for dummies

#artificialintelligence

Ecommerce companies have seen a slower quarter. According to Business Today, investors in India have turned cautious about placing big bets on ecommerce start-ups and the party is clearly over. The total VC money invested and the numbers of deals have dropped from a peak of 43 deals worth 831 million in March 2015 to just 24 transactions worth 112 million (Rs 730 crore) in less than a year according to Economic Times. In a similar state, brands from leading ecommerce markets like SEA and the Middle-East are looking at tighter marketing budgets and greater value for their mobile ad spends (the focus is on metrics like In-App user engagement and conversions).


Machine Learning Applied Scientist at Microsoft India (R&D) - Machine Learning

#artificialintelligence

Bing is all about data and using it to deliver the highest quality search experience -- our mission is to empower people with knowledge. Fostered by the unprecedented availability of web data and accelerated by the recent advances in deep learning, we are now at a pivotal moment in which huge amounts of both structured and unstructured data can be mined from the web to allow search engines to connect users directly with the information they need. Our ultimate goal is to fulfill any information need on the spot, whether on a desktop or mobile device. We see the web as the most comprehensive database for powering a multitude of services across all Microsoft products, from Bing to Excel to Skype, not to mention Cortana -- all of them need data. Join our team and help us to build the next generation of applications.


Baidu Plans to Mass Produce Autonomous Cars in Five Years

WSJ.com: WSJD - Technology

HONG KONG--Chinese search-engine giant Baidu Inc. Senior Vice President Wang Jing said Friday that the company plans to mass produce a driverless car in five years--so that babies born today won't need a driver's license. Baidu, which is China's largest search-company with 80% market share, is already testing its model on public roads in Beijing and in Wuhu, in China's southeastern Anhui province, and in a closed testing area in Shanghai. Speaking at The Wall Street Journal's Converge technology conference, Mr. Wang said...


Lee: Chinese Tech Firms Need Experts With Cross Disciplines

WSJ.com: WSJD - Technology

HONG KONG--The biggest challenges for Chinese companies making the next generation of wearables, self-driving cars and drones is having experts in cross disciplines, GGV Capital Managing Partner Jenny Lee said Friday. Speaking at the Converge technology conference hosted by The Wall Street Journal and f.ounders in Hong Kong, Ms. Lee said Chinese companies benefit from having government support and funding, and a huge market of...


How to Build Your Own Deep Learning Box

#artificialintelligence

Deep learning is a technique used to solve complex problems such as natural language processing and image recognition. We are now able to solve these computational problems quickly, thanks to a component called the Graphics Processing Unit (GPU). Originally used to generate high-resolution computer images at fast speeds, the GPU's computational efficiency makes it ideal for executing deep learning algorithms. Analysis which used to take weeks can now be completed in a few days. While all modern computers have a GPU, not all GPUs can be programmed for deep learning.