How an A.I. 'Cat-and-Mouse Game' Generates Believable Fake Photos


The woman in the photo seems familiar. She looks like Jennifer Aniston, the "Friends" actress, or Selena Gomez, the child star turned pop singer. She appears to be a celebrity, one of the beautiful people photographed outside a movie premiere or an awards show. That's because she's not real. She was created by a machine.

5G to AR: Here are 7 technologies to watch in 2018


USA TODAY's Ed Baig looks at the top Tech trends to watch for in 2018. Visitors walk past a 5G logo during the Mobile World Congress in Barcelona, on March 1, 2017. Blistering fast wireless networks, digital assistants that are, well, everywhere, and a coming out bash for augmented reality. These and other technologies mentioned here, some of which are already familiar but really just getting started, are worth keeping an eye on in 2018. You can bet we'll also learn about innovations in the months to come that are for now, completely under the radar.

Automatic Insights: How AI and Machine Learning Improve Customer Service


Artificial intelligence, or AI, allows computer systems to automatically recognize and perform certain jobs that formerly would have required human intervention. If you've ever loaded a new image into the photos application on your computer and had it instantly recognize the faces of every person there, you've seen the power of AI on display. Machine learning, on the other hand, takes things one step farther and allows computer systems to essentially learn and improve from experience -- without necessarily being programmed to do so. Using the same example as above, say you load an image into the photos app and tag a photo of yourself and your significant other. When you load another photo featuring the two of you into the app a few weeks later, it will nstantly recognize you and display your names -- without you doing anything manually.

Will artificial intelligence end the world as we know it? Why tech's sharpest minds can't agree


Google is training AI to identify human behavior, using clips from movies. Call it what you want, but AI by any name had the tech world uniquely divided in 2017, and the new year isn't likely to bring any quick resolutions. In case you missed it, the fiery debate over AI's potential impact on society was encapsulated by the opinions of two bold-face Silicon Valley names. Tesla and SpaceX CEO Elon Musk told the National Governors Association this fall that his exposure to AI technology suggests it poses "a fundamental risk to the existence of human civilization." Facebook founder Mark Zuckerberg parried such doomsday talk -- which would include cosmologist Stephen Hawking's view that AI could prove "the worst event in the history of civilization" -- with a video post calling such negative talk "pretty irresponsible."

Google AI can rate photos based on aesthetic appeal


The approach can use reference photos if they're available, but it can turn to statistical models if there's no ideal target photo. The result is a neural network system that "closely" replicates the mean scores of humans when judging photos. That, in turn, has all kinds of implications for photography apps. To begin with, it could help you quickly find your best photos while avoiding blurry or poorly composed shots. Google adds that it'd be helpful for editing, too, as you could use it to tune automatic editing tools.


International Business Times

Christmas Eve is a busy time for some, but for others, it's a day to relax and watch TV. Luckily, there are plenty of Christmas movies and TV specials to watch on Dec. 24. Marathons are always big on the holidays. The first three "Home Alone" movies will air back-to-back on Encore all day long on Christmas Eve. Meanwhile, CMT will kick off their "Love Actually" movie loop at noon.

Researchers Make Google AI Mistake a Rifle For a Helicopter


Tech giants love to tout how good their computers are at identifying what's depicted in a photograph. In 2015, deep learning algorithms designed by Google, Microsoft, and China's Baidu superseded humans at the task, at least initially. This week, Facebook announced that its facial-recognition technology is now smart enough to identify a photo of you, even if you're not tagged in it. But algorithms, unlike humans, are susceptible to a specific type of problem called an "adversarial example." These are specially designed optical illusions that fool computers into doing things like mistake a picture of a panda for one of a gibbon.

Adobe Lightroom uses AI to edit your photos like a pro


Many photo editing apps have an auto-adjust feature that can improve photos, but pros tend to steer clear of it for a reason -- it's more of a vague guess than an informed edit based on experience. Wouldn't it be nice if it learned from the pros? Adobe has released updates to Lightroom (both CC and Classic) and Camera Raw that use its Sensei AI to improve photos based on examples. The new Auto mode compares your image to "tens of thousands" of professionally edited shots and uses that wealth of info to make smarter decisions. This doesn't guarantee that you'll have Ansel Adams-grade photos with a couple of clicks, but it could limit your editing to minor tweaks.



Meet Fingerlings, the adorable robot monkeys poised to be the holiday season's hottest toy. This Thursday, Nov. 9, 2017, photo provided by Amy B. Stepp shows a fake Fingerling that she received after paying $17 on Amazon for what she thought was a real Fingerlings monkey. Shoppers rushing to buy Fingerlings, one of this holiday season's already hard-to-find toys, say that they are being fooled into buying fakes through Amazon and NEW YORK -- Shoppers rushing to find Fingerlings, the robotic monkeys that are a hot toy this holiday season, say they've been fooled into buying fakes through outside sellers on Amazon and The real Fingerlings, 6-inch multicolored monkeys, wrap around a finger, move, and make sounds.

Transparent design could teach people to trust AI


We are living in a world of data overload. From behavioral analytics to customer preferences, businesses now have so much data at their fingertips that they're unable to process and consume all of it in a meaningful way. This is where the magic of machine learning comes in. When applied to massive internal company datasets, machine learning technology can derive important insights and provide actionable recommendations and predictions at superhuman scale. But as automation, machine learning, and artificial intelligence technologies continue to show up in our daily experiences, more and more users are asking questions.