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" Some search engines, including Bing and DuckDuckGo, give an entire first page of spurious results (see image in upper left). Most of the results are for pages obviously designed to obfuscate, throwing banal dust into the eyes of the search engine and leaving a casual searcher with the incorrect impression that there's nothing to see here. "

"The 3-D imaging method used to create the prints yields an enormous depth map while also capturing exact color. The resulting print has a resolution of 50 microns, easily fooling the average observer into thinking it's an original."

"built an algorithm that can determine with 90 percent accuracy whether a person is drunk or not based on an infrared image of his or her face."

""We don't do facial recognition, we do face detection," Ke Quang, chief operating officer of Quividi, told the Guardian on Monday. "It's software which works from the video feed coming off the camera. It can detect if it's seeing a face, but it never records the image or biomorphological information or traits."

"a small city in China's central Anhui province, purporting to show vice-mayor Wang Hun pay a friendly visit to an elderly woman. There's only one problem: The image, which appears to show Wang floating above a particularly tiny woman, has clearly been modified."

"One such camera, the Seek Thermal has just gone on sale in the UK for the first time. WIRED took a look at it at IFA in Berlin." This is a cool new camera for your smartphone which could make your life a lot easier if you have lost a pet and many other uses.

"While Keenan emphasised the capability was not a centralised biometric database, and was simply an improved way to share information already collected by different Australian jurisdictions, Gregory questioned how these images of Australians will be employed by law enforcement. "It's subtle changes in the way that things are used that need to be debated the most," he said. "In this case, we're talking about using our passport photos for a purpose for which we never gave permission.""

The plight of Rohingya Muslims fleeing Myanmar was thrust into the spotlight last month after thousands of migrants were left stranded at sea - but not all the images being shared online are what they seem to be.

"Unskilled manual laborers have felt the pressure of automation for a long time - but, increasingly, they're not alone. The last few years have been a bonanza of advances in artificial intelligence. As our software gets smarter, it can tackle harder problems, which means white-collar and pink-collar workers are at risk as well. Here are eight jobs expected to be automated (partially or entirely) in the coming decades. Call Center Employees call-center Telemarketing used to happen in a crowded call center, with a group of representatives cold-calling hundreds of prospects every day. Of those, maybe a few dozen could be persuaded to buy the product in question. Today, the idea is largely the same, but the methods are far more efficient. Many of today's telemarketers are not human. In some cases, as you've probably experienced, there's nothing but a recording on the other end of the line. It may prompt you to "press '1' for more information," but nothing you say has any impact on the call - and, usually, that's clear to you. But in other cases, you may get a sales call and have no idea that you're actually speaking to a computer. Everything you say gets an appropriate response - the voice may even laugh. How is that possible? Well, in some cases, there is a human being on the other side, and they're just pressing buttons on a keyboard to walk you through a pre-recorded but highly interactive marketing pitch. It's a more practical version of those funny soundboards that used to be all the rage for prank calls. Using soundboard-assisted calling - regardless of what it says about the state of human interaction - has the potential to make individual call center employees far more productive: in some cases, a single worker will run two or even three calls at the same time. In the not too distant future, computers will be able to man the phones by themselves. At the intersection of big data, artificial intelligence, and advanced

"But one church in Lichfield, Staffordshire, faced a different fundraising problem: to pay a £6,000 bill demanded for photographs used on its website. The case came to the attention of Gavin Drake, the communications director for the diocese's 600 churches. In creating the church's website, a volunteer had included a couple of images sourced from Getty, a large picture agency, without paying for them. A couple of months later, Getty sent the church a demand for £6,000."

Scary but if we are not careful - could be true in the future - "Existing properties will be required to install them over a four-year period. These would supply real-time images of terrorists, criminals and paedophiles at any time of day and night. Any disconnection of a camera would immediately alert the police as prima facie evidence of wrongdoing. I have held talks with the industry on whether the cameras should be in bathrooms and bedrooms. It would clearly be nonsensical to exclude them, as terrorists and paedophiles often make use of these rooms."

"This is what's about to happen with twitpic, for years the go-to service for posting photos to Twitter, and the people in charge appear to be doing what they can to prevent the Internet Archive preserving the database and to deny users functional archive access to their own uploads. "

""The people who are on the list are not guilty until they've been prosecuted and taken to court, and the system makes that very clear", Simon says - and under the Data Protection Act "if anyone misuses that data there are very significant fines". Simon is also sanguine about the risk of misidentification. Images from the watch list will be sent with alerts so staff can check that there's a good match, he says. "

"The researchers, Tero Karras, Samuli Laine, and Timo Aila, came up with a new way of constructing a generative adversarial network, or GAN. GANs employ two dueling neural networks to train a computer to learn the nature of a data set well enough to generate convincing fakes. When applied to images, this provides a way to generate often highly realistic fakery. The same Nvidia researchers have previously used the technique to create artificial celebrities (read our profile of the inventor of GANs, Ian Goodfellow)."

"is an experimental service from Carnegie Mellon University that stores images of old processors, as well as the old operating systems that ran on top of them, along with software packages for those old OSes; this allows users to access old data from obsolete systems inside simulations of the computers that originally ran that data, using the original operating systems and applications."

"FOLLOW US Twitter / Facebook / RSS Machine learning image classifiers use context clues to help understand the contents of a room, for example, if they manage to identify a dining-room table with a high degree of confidence, that can help resolve ambiguity about other objects nearby, identifying them as chairs. The downside of this powerful approach is that it means machine learning classifiers can be confounded by confusing, out-of-context elements in a scene, as is demonstrated in The Elephant in the Room, a paper from a trio of Toronto-based computer science academics."

"But, for a growing number of users - and mental health experts - the very positivity of Instagram is precisely the problem. The site encourages its users to present an upbeat, attractive image that others may find at best misleading and at worse harmful. If Facebook demonstrates that everyone is boring and Twitter proves that everyone is awful, Instagram makes you worry that everyone is perfect - except you."

"According to tests performed by Wang Yue at Zhihu, the Huawei P30 Pro isn't just enhancing the image information the user captures but actually placing pre-existing imagery of the moon into the photo."

"Westfield's Smartscreen network was developed by the French software firm Quividi back in 2015. Their discreet cameras capture blurry images of shoppers and apply statistical analysis to identify audience demographics. And once the billboards have your attention they hit record, sharing your reaction with advertisers. Quividi says their billboards can distinguish shoppers' gender with 90% precision, five categories of mood from "very happy to very unhappy" and customers' age within a five-year bracket."