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"Under the proposal, online platforms would have to spend hundreds of millions of euros on algorithmic copyright filters that would compare everything users tried to post with a database of supposedly copyrighted works, which anyone could add anything to, and block any suspected matches. This would snuff out all the small EU competitors to America's Big Tech giants, and put all Europeans' communications under threat of arbitrary censorship by balky, unaccountable, easily abused algorithms."

"But researchers have approximately zero clues as to why it's so good at it, and it doesn't help that the AI essentially taught itself to make these predictions. According to one researcher involved in the project, "We can build these models, but we don't know how they work.""

"The standards by which the internet is controlled need to be open and subject to the workings of impartial judiciaries. But the task cannot and will not be left to the advertising companies that at present control most of the content - and whose own judgments are themselves almost wholly opaque and arbitrary."

"Across the technology industry, rank-and-file employees are demanding greater insight into how their companies are deploying the technology that they build. At Google, Amazon, Microsoft and Salesforce, as well as at tech startups, engineers and technologists are increasingly asking whether the products they are working on are being used for surveillance in places like China or for military projects in the United States or elsewhere."

"That's interesting work suggesting that Russian troll activity was significantly more ambitious on an international scale than previously thought. It also suggests a way of spotting this kind of meddling as it is happening by looking for the kind of forensic fingerprint the team identified. Of course, finding trolls is a cat-and-mouse game. For the organizations responsible for Russian troll activity, it ought to be a straightforward matter to change the pattern of activity in a way that does not create the same signature."

"Microsoft has pulled its latest Windows 10 update offline after some users complained of missing files. It's the latest in a string of incidents with regular patches and Microsoft's larger Windows 10 updates that have been causing issues for some PC users this year. While Microsoft tests Windows 10 with millions of beta testers, there are signs that this public feedback loop isn't always working. Earlier this year Microsoft delayed its April 2018 Windows 10 update due to last minute Blue Screen of Death issues, and then had to fix desktop and Chrome freezing issues after it was shipped to more than 600 million machines. "

"Second Life, Thinking Worlds, Unity3D and others were all making inroads into the realm of corporate learning and there was a buzz about it in the L&D market, which, at the time, had a reputation for churning out spectacularly boring and poorly designed compliance-based eLearning. One major mobile phone network with whom I worked back in 2008 had a vision of enlivening their learner experience by providing a 3D avatar-based portal into their learning management system, which at the time hosted solidly 2D page-turner eLearning of a very pedestrian nature."

"Scientists must embrace circumspection, transparency, and robust ways of working that safeguard against bias and analytical flexibility. Doing so will provide parents and policymakers with the reliable insights they need on a topic most often characterized by unfounded media hype."

"Launched in response to terror attacks in New Zealand in May, where a lone gunman killed 51 people at two mosques in Christchurch while livestreaming the massacre on Facebook, it calls for the "effective enforcement" of laws prohibiting the dissemination of terrorist content. It also states that all action on the issue must be consistent with the principles of a free, open and secure Internet, without compromising freedom of expression."

"So they trained a deep-learning neural net on tons of examples of deepfaked videos, and produced a model that's better than any previous automated technique at spotting hoaxery. (Their paper documenting the work is here.)"

"At Imperial College London, Murray Shanahan and colleagues are working on a way around this problem using an old, unfashionable technique called symbolic AI. "Basically this meant an engineer labelled everything for the AI," says Shanahan. His idea is to combine this with modern machine learning. Symbolic AI never took off, because manually describing everything quickly proved overwhelming. Modern AI has overcome that problem by using neural networks, which learn their own representations of the world around them. "They decide what is salient," says Marta Garnelo, also at Imperial College."

"Generally, it questions the advance of computing in the absence of a deeper knowledge of how the human brain perceives the world to be computed. We want computers to have perception, yet we know little about the workings of our own human perception."

"Moore's Law (or the exponential growth of integrated circuits) is actually referring to the fifth paradigm of computation. Here's the list of the underlying technologies: (1) Electromechanical; (2) Vacuum Tube; (3) Relay; (4) Transistors; and (5) Integrated Circuits. Quantum computers may well be the sixth paradigm, given that they work in a fashion that is entirely different from "classical" computers"

"Each chip costs $300 and the company is picking up the tab. They're implanted between a person's thumb and forefinger. Westby added the data is both encrypted and secure. "There's no GPS tracking at all," he said. No one who works at Three Square Market is required to get the chip implant." HOW scary is this!

"The mapping information could ostensibly tell third-parties when the owners are most often home, the shape of rooms, the size of houses, and even the frequency of cleanings. Gizmodo imagines that a room's shape could be valuable to Amazon as information on the acoustics of a room containing an Alexa device, informing both volume and directional settings so that its broadcasting and microphone can work properly. "

"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."

"An algorithm has no tastebuds; a neural net never gets the munchies. So can a robot brain really tell us what we'll want to eat? The question is whether AI systems will be able to excel in the sensual, creative work of tasting and developing new foods - and what we stand to gain or lose by inventing foods that really have our number."

"Neural networks can find telltale patterns in a person's gait that can be used to recognize and identify them with almost perfect accuracy, according to new research published in IEEE Transactions on Pattern Analysis and Machine Intelligence. The new system, called SfootBD, is nearly 380 times more accurate than previous methods, and it doesn't require a person to go barefoot in order to work. It's less invasive than other behavioral biometric verification systems, such as retinal scanners or fingerprinting, but its passive nature could make it a bigger privacy concern, since it could be used covertly."

"While some experts still disagree, most now believe that Conficker was the work of Ukrainian cybercriminals building a platform for global theft who succeeded beyond all expectation, or desire. The last thing a thief wants is to draw attention to himself. Conficker's unprecedented growth drew the alarmed attention of cybersecurity experts worldwide. It became, simply, too hot to use."

"Indeed, a recent working paper in the area of machine learning suggests that the simpler the algorithm, the more likely its outcome will further disadvantage already disadvantaged groups. In other words, our social relationships are complex, and our algorithms should be, too. But in the quest to streamline processes, they aren't always, and that can be a huge problem."