New World Next Week | No More Net Neutrality?, April 24, 2014

Source: <a href="http://newworldnextweek.com/" target="_blank">NewWorldNextWeek.com</a>, <a href="http://corbettreport.com/" target="_blank">corbettreport.com</a>, <a href="http://mediamonarchy.com/" target="_blank">mediamonarchy.com</a><br /><br /><iframe allowfullscreen="" frameborder="0" height="309" src="//www.youtube.com/embed/rLmr9P98-Do" width="550"></iframe><br /><br /><b>Story #1: Federal Judges Order Obama to Release Memo Justifying Assassination of Americans</b><br />
John Yoo makes the case that the President can torture children if necessary<br />
Life's Good If You're a Drone-Loving Criminal Regime: 'US Drone Strikes Continue With Impunity'<br />
Makers Say Don't Worry About Privacy as Civilian Drone Industry Takes Off in Sunny Spain<br />

<br /><b>Story #2: FCC Finally Announces New Rules That Will Kill Net Neutrality</b><br />
Internet "Fast Lane"? Big Companies May Soon Be Able to Pay to Have Their Websites Load Faster<br />
Corbett Report Episode 262: Pirate Internet<br />
Cronyism At Its Finest, U.S. Government Arguing Against Aereo On Behalf Of Broadcasters Before SCOTUS<br />

<br /><b>Story #3: #MyNYPD Hashtag Attracts Photos of Police Violence, Abuse</b><br />
The Folks Behind #MyNYPD Are Learning a Tough Lesson Right Now<br />
General Mills Reverses Legal Terms After Controversy<br />
Federal Judge Approves Class Action Case Against Ford, IBM for Helping South African Apartheid<br />
Colorado Crime Rates Down 14.6% Since Legalizing Marijuana<br />
Open Source Comes to Farms With Restriction-Free Seeds<br />
Vermont Poised to Enact Toughest US GMO-Labeling Law Yet

New World Next Week | No More Net Neutrality?, April 24, 2014

Source: NewWorldNextWeek.com, corbettreport.com, mediamonarchy.comStory #1: Federal Judges Order Obama to Release Memo Justifying Assassination of Americans
John Yoo makes the case that the President can torture children if necessary
Life's Good If You're a Drone-Loving Criminal Regime: 'US Drone St…

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Gerald Celente | Trends 2014 | April, 24, 2014

Source: <a href="http://legalise-freedom.com/" target="_blank">legalise-freedom.com</a>, <a href="http://trendsjournal.com/" target="_blank">trendsjournal.com</a>, <a href="http://geraldcelente.com/" target="_blank">geraldcelente.com</a><br /><br /><iframe allowfullscreen="" frameborder="0" height="309" src="//www.youtube.com/embed/mOBHtE0bXdw" width="550"></iframe><br /><br />Publisher of the Trends Journal and founder of The Trends Research Institute Gerald Celente discusses his work and the world in 2014.<br /><br />The Trends Journal alerts readers to critical domestic and international trends long before they show up in the mainstream media. An information-packed quarterly, the journal covers business, economics, politics, social developments, health, environment, education, the arts, science, technology, philosophy and entertainment.<br /><br />Gerald is a political atheist. Unencumbered by political dogma, rigid ideology or conventional wisdom, he and his team observe and analyze the current events forming future trends for what they are -- not for what we might want them to be. These cutting edge trend forecasts allow readers to anticipate change, recognize the implications, and take proactive measures for protection and profit. Gerald and the Trends Research Institute also provide research and consulting services to businesses and governments worldwide. -Legalise-freedom.com

Gerald Celente | Trends 2014 | April, 24, 2014

Source: legalise-freedom.com, trendsjournal.com, geraldcelente.comPublisher of the Trends Journal and founder of The Trends Research Institute Gerald Celente discusses his work and the world in 2014.The Trends Journal alerts readers to critical domestic and international trends long before they show…

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Algorithm Is First to Identify Faces Better Than Humans Can, April 23, 2014

Source: <a href="http://blogs.discovermagazine.com/d-brief/2014/04/23/algorithm-is-first-to-identify-faces-better-than-humans-can/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A%20DiscoverTopStories%20%28Discover%20Top%20Stories%29#.U1i92igmV50" target="_blank">discovermagazine.com</a> <br /><br /><div class="separator" style="clear: both; text-align: center;"><a href="http://i162.photobucket.com/albums/t256/Helvetic/facial-recognition-data-points_zpsf94ff577.jpg" imageanchor="1" style="clear: left; float: left; margin-bottom: 1em; margin-right: 1em;"><img border="0" src="http://i162.photobucket.com/albums/t256/Helvetic/facial-recognition-data-points_zpsf94ff577.jpg" /></a></div><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><span class="Apple-style-span" style="font-size: x-small;">By Carl Engelking</span><br /><span class="Apple-style-span" style="font-size: x-small;"><br /></span> Let’s face it, from trivia to teaching, computers are doing things we thought were uniquely human — and doing them better. Now, facial recognition, a skill humans once dominated, has a new champion. Computer scientists have developed a facial recognition algorithm that, for the first time, outperforms humans’ own abilities.<br /><br />Facial recognition systems are already better than humans at comparing two images to determine if they are the same person, but only when variables like lighting, pose and expression are controlled. When you shake things up, humans still correctly identify faces with over 97 percent accuracy; before now no other algorithm had come close that mark. However, scientists’ new algorithm, called GaussianFace, performed the feat with an accuracy of 98.52 percent.<br /><br /><b>Training the Champ</b><br />The new algorithm condenses each face it “sees” into a small image to position the eyes, nose, and corners of the mouth in consistent locations. Then, it further divides the image into small, overlapping squares and mathematically charts each square’s unique characteristics, allowing it to compare two images.<br /><br />Scientists trained the algorithm to look for correct facial features by setting it loose on four massive datasets of face images. Once training was complete, it was time for the main event: <a href="http://vis-www.cs.umass.edu/lfw/" target="_blank">Labeled Faces in the Wild (LFW).</a><br /><br />LFW is a dataset of 13,000 face images, and is considered the gauntlet for face recognition algorithms. It challenges programs to determine whether a pair of pictures is the same person or different people. However, each photo switches up angles, lighting, makeup and expressions to really test an algorithm’s proficiency.<br /><br />The GaussianFace algorithm emerged from the test a champion, beating humans’ 97.35 percent average performance on LFW. The algorithm could someday be used in myriad applications including security, image retrieval, and biometric credentials for our computers and mobile devices. The scientists published their findings earlier this month in the <a href="http://arxiv.org/pdf/1404.3840v1.pdf">online journal arXiv</a>.<br /><br />Want to see how you’d do against the computer? Check out <a href="https://medium.com/the-physics-arxiv-blog/2c567adbf7fc" target="_blank">Medium’s collection of facial images</a> and see if you can tell which are matches.

Algorithm Is First to Identify Faces Better Than Humans Can, April 23, 2014

Source: discovermagazine.com By Carl Engelking Let’s face it, from trivia to teaching, computers are doing things we thought were uniquely human — and doing them better. Now, facial recognition, a skill humans once dominated, has a new champion. Computer scientists have developed a facial recognitio…

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