{"id":224244,"date":"2017-06-29T01:29:38","date_gmt":"2017-06-29T05:29:38","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/ai-to-ensure-fewer-ufos-ieee-spectrum.php"},"modified":"2022-07-29T21:58:52","modified_gmt":"2022-07-30T01:58:52","slug":"ai-to-ensure-fewer-ufos-ieee-spectrum","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-to-ensure-fewer-ufos-ieee-spectrum.php","title":{"rendered":"AI to Ensure Fewer UFOs &#8211; IEEE Spectrum"},"content":{"rendered":"<p><p>    Photo: Black Sage Technologies Searching the    Skies: Black Sage Technologies    artificial-intelligence system spots flying objects and    determines whether theyre a threat.  <\/p>\n<p>    Is it a bird? A plane? Or is it a remotely operated quadrotor    conducting surveillance or preparing to drop a deadly payload?    Human observers wont have to guessor keep their eyes glued to    computer monitorsnow that theres superhuman artificial    intelligence capable of distinguishing drones from    those other flying objects. Automated watchfulness, thanks to    machine learning, has given police and other agencies tasked    with maintaining security an important countermeasure to help    them keep pace with swarms of new drones taking to the skies.  <\/p>\n<p>    The security challenge has only grown over the past few years:    Millions of people have bought consumer drones and sometimes    flown them into offlimits areas where they pose a hazard to    crowds on the ground or larger aircraft in the sky.    Off-the-shelf drones have also become affordable and dangerous    weapons for the Islamic State and other militant groups in    war-torn regions such as Iraq and Syria.  <\/p>\n<p>    The need to track and possibly take down these flying intruders    has spawned an antidrone market     projected to be worth close to US $2 billion by the    mid-2020s. The lions share of that haul will likely go to    companies that can best leverage the power of machine-learning    AI based on neural networks.  <\/p>\n<p>    But much of the antidrone industry still lags behind the rest    of the tech sector in making effective use of machine learning    AI, says David Romero, founder and managing partner of Black Sage Technologies,    based in Boise, Idaho. With machine learning, 90 percent of    the work is figuring out how to make it so simple so that the    customer doesnt have to know how machine learning works, says    Romero. Many companies do that well, but not in the defense    community.  <\/p>\n<p>    He and Ross Lam, his Black Sage cofounder, are poised to take    advantage of this opening for the upstarts looking to take on    the defense industrys giants. They initially collaborated on a    project that trained machine-learning algorithms to    automatically detect deer on highways based on radar and    infrared camera data. Eventually, they realized that the same    approach could help spot drones and other unidentified flying    objects.  <\/p>\n<p>    Since the self-funded startups launch in 2015, it has won    multiple contracts from the United States governmentincluding    for U.S. military forces deployed in Iraq and Afghanistanand    from U.S. allies.  <\/p>\n<p>    Romero says its fairly straightforward to apply machine    learning to the task of automatically detecting and classifying    flying objects. But because the stakes are highmistakenly    shooting down a small passenger plane or failing to take out an    explosives-laden drone intruder could be equally    disastrousBlack Sage puts its system through a rigorous    training phase when its installed at a new site. The systems    radar and infrared cameras capture information about each    unidentified flying objects velocity, size, altitude, and so    forth. Then a human operator helps train the machine-learning    algorithms by positively identifying certain classes of drones    (rotor or fixed-wing) as well as other objects such as birds or    manned aircraft. For proof that it has learned its lessons    well, the AI is tested against 20 percent of the positively    identified data setthe part reserved specifically for cross    validation.  <\/p>\n<p>    Another company called Dedroneoriginally based in    Kassel, Germany, but currently headquartered in San    Franciscois taking a similar approach. When a Dedrone system    is being installed at a new site, humans label unfamiliar    objects as part of the training process, which also updates the    companys proprietary DroneDNA library. Since its launch in    2014, Dedrones machine-learning software has helped safeguard    events and locations such as a Clinton-Trump presidential    debate, the World Economic Forum, and CitiField, home of the    New York Mets baseball team.  <\/p>\n<p>    Each time we update DroneDNA, we process over 250 million    different images of drones, aircraft, birds, and other    objects, says Michael Dyballa, Dedrones director of    engineering. In the past eight months, weve annotated 3    million drone images.  <\/p>\n<p>    Though Black Sages and Dedrones automated detection systems    are said to be capable of running without human assistance    after their respective training phases, the companies clients    may choose to put humans in the loop for engaging active    defenses, such as jammers or lasers, to take down flying    intruders. Such caution is critical at sites like airports,    where drone detection accuracy greater than 90 percent still    means the occasional false alarm or case of mistaken identity.    Even so, a humans interpretive ability can only supplement the    ceaseless vigilance that AI systems will need to provide as the    number of drones continues to rise.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>Link: <\/p>\n<p><a target=\"_blank\" rel=\"nofollow noopener\" href=\"http:\/\/spectrum.ieee.org\/robotics\/drones\/ai-to-ensure-fewer-ufos\" title=\"AI to Ensure Fewer UFOs - IEEE Spectrum\">AI to Ensure Fewer UFOs - IEEE Spectrum<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Photo: Black Sage Technologies Searching the Skies: Black Sage Technologies artificial-intelligence system spots flying objects and determines whether theyre a threat. Is it a bird? A plane?  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/artificial-intelligence\/ai-to-ensure-fewer-ufos-ieee-spectrum.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-224244","post","type-post","status-publish","format-standard","hentry","category-artificial-intelligence"],"modified_by":"Danzig","_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/224244"}],"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=224244"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/224244\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=224244"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=224244"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=224244"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}