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"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."

"The platform's automated tools may have mistaken the visuals of the burning building for 9/11 footage, according to Vagelis Papalexakis, an assistant professor of computer science and engineering at the University of California, Riverside who studies machine learning used in similar systems."

"The listeners accurately heard the sentences 43 percent of the time when given a set of 25 possible words to choose from, and 21 percent of the time when given 50 words, the study found."

"At their core, GANs consist of two networks: the generator and discriminator. These computer programs compete against each other millions-upon-millions of times to refine their image generating skills until they're good enough to create the full-fledged pictures."

"His program became the first of a particular type of cyber attack called "distributed denial of service," in which large numbers of internet-connected devices, including computers, webcams and other smart gadgets, are told to send lots of traffic to one particular address, overloading it with so much activity that either the system shuts down or its network connections are completely blocked."

"A woman helped create and program the world's first general purpose computer. How much progress has there been since Ada Lovelace Day began in 2009?"

"Computer Vision and Pattern Recognition shows that these watermarks can be reliably detected and undetectably erased by software."

"This RFID-enabled device allowed its proud new owners to do things such as log into their computer, open doors and purchase food in the office cafeteria with a flick of the wrist. Nearly half of the company's 85 workers had the device implanted when the firm held a "chip party". YIKES!

"However, there's a new breed of video and audio manipulation tools, made possible by advances in artificial intelligence and computer graphics, that will allow for the creation of realistic looking footage of public figures appearing to say, well, anything. Trump declaring his proclivity for water sports. Hillary Clinton describing the stolen children she keeps locked in her wine cellar. Tom Cruise finally admitting what we suspected all along … that he's a Brony."

"MIT researcher's at CSAIL have developed a lane-changing algorithm for self-driving cars. the algorithm allows for aggressive lane changes much like the kind only real drivers would be capable of.   it works by computing 'buffer zones' around autonomous vehicles and reassessing them on the fly. MIT uses a mathematically efficient approach which calculates new buffer zones if the default buffer zones lead to performance that's far worse than a human's driver."

"Hangzhou Zhongheng Electric is just one example of the large-scale application of brain surveillance devices to monitor people's emotions and other mental activities in the workplace, according to scientists and companies involved in the government-backed projects. Concealed in regular safety helmets or uniform hats, these lightweight, wireless sensors constantly monitor the wearer's brainwaves and stream the data to computers that use artificial intelligence algorithms to detect emotional spikes such as depression, anxiety or rage."

"When Fry returned to London, she realised how mathematicians, computer engineers and physicists are so used to working on abstract problems that they rarely stop to consider the ethics of how their work might be used"

"The reason to look at humans is because there are certain things that humans do much better than deep-learning systems. That doesn't mean humans will ultimately be the right model. We want systems that have some properties of computers and some properties that have been borrowed from people. We don't want our AI systems to have bad memory just because people do. But since people are the only model of a system that can develop a deep understanding of something-literally the only model we've got-we need to take that model seriously."

"Princeton computer science professor Arvind Narayanan calls Zoom a "privacy disaster," filled with "creepy" features that send tracking data to Facebook even if you don't have a Facebook account and tell meeting hosts if attendees aren't paying attention. Zoom's privacy policy allows it to use what it calls "customer content" for advertising purposes."

"According to Folding@Home, the organisation that runs the distributed computing effort, the combined power of the network broke 1,000,000,000,000,000,000 operations per second - or one "exaflop" - on 25 March."

"Eric Leuthardt believes that in the near future we will allow doctors to insert electrodes into our brains so we can communicate directly with computers and each other."

"Apart from biases in the training databases, it's hard to know how well face-recognition systems actually perform in the real world, in spite of recent gains. Anil Jain, a professor of computer science at Michigan State University who has worked on face recognition for more than thirty years, told me, "Most of the testing on the private venders' products is done in a laboratory environment under controlled settings. In real practice, you're walking around in the streets of New York. It's a cold winter day, you have a scarf around your face, a cap, maybe your coat is pulled up so your chin is partially hidden, the illumination may not be the most favorable, and the camera isn't capturing a frontal view.""

"With 850 million children worldwide shut out of schools, tech evangelists claim now is the time for AI education. But as the technology's power grows, so too do the dangers that come with it"