{"id":152830,"date":"2014-10-22T19:40:54","date_gmt":"2014-10-22T23:40:54","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/ai-soon-part-of-standard-smartphone-functionality.php"},"modified":"2014-10-22T19:40:54","modified_gmt":"2014-10-22T23:40:54","slug":"ai-soon-part-of-standard-smartphone-functionality","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-soon-part-of-standard-smartphone-functionality.php","title":{"rendered":"AI Soon Part of Standard Smartphone Functionality?"},"content":{"rendered":"<p><p>  The field of application of artificial intelligence (AI) is  widening, and looks set to encompass smartphones in the near  future. The phones operating system will then be able to work  rather like nerve cells do, and your device will be capable of  positively identifying both categories of objects and individual  human faces.<\/p>\n<p>    Hollywood movie clichs apart, substantial progress is actually    starting to be made in the field of artificial intelligence,    due to the unflagging enthusiasm of academic institutions on    the one hand and commercial companies on the other: major    technology companies are working in partnership with university    research laboratories to find ways of integrating AI into    devices used by the general public. Meanwhile, in addition to    the machine-learning projects already underway at the Google X    lab, directed by the Groups co-founder Sergei Brin, the    Mountain View giant recently acquired Deepmind, a company    specialising in AI. The UK-based startup, which has developed    software that learns by combining machine-learning with    neuroscience techniques, moved into the Google fold in January.    Moreover, research being carried out at wireless    telecommunications products and services company Qualcomm    should enable this so-called deep learning technology to be    incorporated into our smartphones in the near future.  <\/p>\n<\/p>\n<p>    Qualcomm, which makes electronic chips for smartphones, is    aiming to include AI as standard functionality in mobile    devices in the coming years. The companys researchers are in    the process of developing an application which is able to    identify different types of scenery or background in a photo     cityscape, landscape, sunset, close-up, etc  using image    recognition techniques and so optimise the photo setting on    that basis. Even more impressive is the claim made by    Qualcomms head of software research, Charles Bergan, during a    conference at MIT in September that maybe the app will detect    that its a soccer game in progress and look for that moment    when the ball is just lifting off. However, at the moment AI    technology is being directed first and foremost towards human    face recognition. A face-recognition app which Bergan    demonstrated at the MIT gatheringsucceeded in identifying    his face despite reportedly having being trained to recognise    his features using only a short, shaky, and poorly lit video of    his face. Unsurprisingly, image recognition is very much in    demand from smartphone manufacturers. Recently Google tested    out deep learning techniques on 10 million images taken from    YouTube videos. The results were twice as good as any of the    image recognition software previously used and the technology    was for example able to categorise several different cats as    all being cats.  <\/p>\n<\/p>\n<p>    The thrust of deep learning technology, which was one of ten    breakthrough technologies for 2013 listed by MIT experts, is    basically to simulate the activity of the neurons in the    neocortex of our brains. This zone, which is located in the    external layer of the cerebral hemispheres, is involved in    spatial representation and language functions, and more widely    in perception and reaction. In fact deep learning is not    particularly new. In the 1980s Professor Kunihiko Fukushima, a    Japanese pioneer in the field of neural networks, invented an    artificial neural network, which he called the neocognitron,    that has a hierarchical multilayered architecture and acquires    the ability to recognise visual patterns through learning.    Thirty years on, commercial companies are now starting to get    interested in the technology with a view to predictive data    analysis. Ersatz Labs, a San Francisco-based startup, runs a    paid-for platform for creating tailored algorithms that help    companies to analyse their data more meaningfully. Moreover    recent advances in computational power have been driving    progress in the field. High-powered computer chips such as    IBMs recently-unveiled TrueNorth have enabled progress in    image and language recognition, two key features that look set    to make our smartphones even smarter.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Read the rest here: <\/p>\n<p><a target=\"_blank\" href=\"http:\/\/www.atelier.net\/en\/trends\/articles\/ai-soon-part-standard-smartphone-functionality_431940?utm_source=atelier&utm_medium=rss&utm_campaign=atelier\/RK=0\/RS=dYRVr1hNdAin2IW28pGnglIUgKM-\" title=\"AI Soon Part of Standard Smartphone Functionality?\">AI Soon Part of Standard Smartphone Functionality?<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> The field of application of artificial intelligence (AI) is widening, and looks set to encompass smartphones in the near future. The phones operating system will then be able to work rather like nerve cells do, and your device will be capable of positively identifying both categories of objects and individual human faces <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-soon-part-of-standard-smartphone-functionality.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[13],"tags":[],"class_list":["post-152830","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/152830"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=152830"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/152830\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=152830"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=152830"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=152830"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}