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We know how strong we are as consumers. We buy a lot of products from these stores. We buy a lot of clothing accessories, shoes, bags, you name it. And many of us are ready to flex that consumer power, Coulter told KPIX 5shortly after launching the boycott. But months after the election, the list has grown to not only include those businesses that sell Ivanka Trump products, but also Trump-owned businesses and the businesses of his advisors and supporters. San Francisco-based Ubermadethe list because its CEO has said the company would cooperate with the Trump administration. The companys cooperation spurred a movement by users to delete the app in protest. The New York Times reported that more than 200,000 customers deleted their Uber accounts. And the boycotts may be working. Ubers CEOTravis Kalanick announced Thursday his resignation from Trumps economic advisory council , which couldlead tohis company gettingoff the boycott list and regaining the users it lost.
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In theory, you could track down a complete stranger you snapped on the bus or train. Image copyright Alex Wong Image caption Chinese payments giant Alipay is experimenting with "smile to pay" tech "There are many potential applications of robust and reliable facial recognition technology," says Prof Josef Kittler from the Centre for Vision, Speech and Signal Processing at the University of Surrey in the UK. "Uses include security and surveillance of business, identity verification for business transactions, personalised treatment of regular customers, and analysing a customer's reaction to displays for marketing purposes." The university is currently heading a 6m ($7.5m) collaborative research programme funded by the Engineering and Physical Sciences Research Council to develop next-generation facial recognition technology. If the face fits One of the principal drivers of the tech is the security sector. Carl Gohringer, founder and director at Allevate, a facial recognition firm that works with law enforcement, intelligence and government agencies, says: "The amount of media - such as videos and photos - available to us as individuals, organisations and businesses, and to intelligence and law enforcement agencies, is staggering. "We're well beyond the point where all of it is usable or viewable by us as human beings. So technology will be applied that results in new and interesting mechanisms of accessing, analysing, ordering, structuring and processing this visual minefield." Image copyright Getty Images Image caption Even these Kikoo robots for kids from Hanwuji Intelligence have facial recognition built in Machine-learning algorithms can sift through this vast store of data and improve as they go. Tools such as FaceSearch, from Vigilant Solutions, analyse more than 350 aspects of the human face, enabling suspects to be matched to a cloud-based database of more than 15 million "mugshots". But Roger Rodriguez, director of public safety business development at Vigilant Solutions, says this technology has plenty of business applications too. "Want to cater to those high-spending VIPs when they enter your store?" he says.
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