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"The initial project will pursue a new, open royalty-free video codec specification and open-source implementation based on the contributions of members, along with binding specifications for media format, content encryption and adaptive streaming, thereby creating opportunities for next-generation media experiences."

"The hive mentality is inspiring the latest advances in technology and the US military is already experimenting with swarms of robotic boats and aircrafts"

"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

"One of the most mind-bending far future predictions you'll hear from some futurists is this: Eventually, the technology will exist to copy your brain (every bit of data that makes you, you) onto a computer. Technical details and exact predictions aside (the concept is still firmly science fiction) mind uploading makes for a fascinating and disturbing thought experiment. If you had the power to upload yourself, would you?"

"Marlinspike's Textsecure has an impeccable reputation as a secure platform, and Whatsapp founder Jan Koum attributes his desire to add security to his users' conversations to his experiences with the surveillance state while growing up in Soviet Ukraine. However, without any independent security audit or (even better) source-code publication, we have to take the company's word that it has done the right thing and that it's done it correctly."

"There's a Cambrian explosion in robotics, with species of all sizes, shapes and modes of mobility crawling out of the muck of the lab and onto the terra firma of the marketplace, about to enter your home and your shopping experience."

"Going from small data analytics to Big Data analytics or to predictive and prescriptive analytics is trickier. Expanding in both dimensions is human capital intensive, requiring talented data scientists. A McKinsey report (2011) estimates that by 2018, there will be a shortage of 140,000 to 190,000 workers with "deep analytical" experience and a further 1.5 million data-literate managers in the US. Technology giants such as Google, Facebook and Amazon, and large investment banks and top hedge funds can afford such employees, however even now the competition is fierce, as is evidenced by the ongoing talent war in Silicon Valley. The data scientist is indeed a sexy job in the 21st century."

Six convoys of semi-automated "smart" trucks arrived in Rotterdam's harbour on Wednesday after an experiment its organisers say will revolutionise future road transport on Europe's busy highways. More than a dozen self-driving trucks made by six of Europe's largest manufacturers arrived in the port in so-called "truck platoons" around midday, said Eric Jonnaert, president of the umbrella body representing DAF, Daimler, Iveco, MAN, Scania and Volvo."

""The ethics commission has done pioneering work and has developed the world's first guidelines for automated driving. We are now implementing these guidelines." The ethics rules address a classic thought experiment: the "trolley problem.""

"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."

"Personalized pricing, which is also known as price discrimination or price optimization, depending on whether you're an economist or an online marketer, is a growing trend. According to a recent Deloitte and Salesforce report, 40% of brands that currently use AI to personalize the customer experience have used it to tailor pricing and promotions in real time. "

"The animal matchmaking program isn't just for gorillas, and it takes some things into consideration that probably aren't on Tinder's radar. It scores every animal on a variety of traits (and when we say "every" animal, we mean there's an entry for each flamingo in each American zoo), including social skills, age, experience, family history, and interpersonal relationships. Oh, and genetic diversity. Animals with rare genes are more valuable to breeding programs because their offspring will introduce more genetic diversity into the dating pool."

"This type of approach can speed up learning times and improve the efficiency of algorithms, says Max Jaderberg at Google's AI company DeepMind. The company used a similar technique last year to teach an AI to explore a virtual maze. Its algorithm learned much more quickly than conventional reinforcement learning approaches. "Our agent is far quicker and requires a lot less experience from the world to train, making it much more data efficient," he says."

"They are subjects in an experiment that will show how the technology changes the way we form our identities, represent ourselves, and relate to others."

"Consider abstract art. We've noted that machine learning, in aiming to make an accurate prediction, constructs a high-dimensional feature space that contorts and reconfigures the data representing features of the natural world. Likewise, artists "mash and rip" features of visual reality to create a system of forms, texture, and color that richly represent features of visual experience in an alien way. The subject of representation is abstracted but represented none-the-less. "

"Alexa, Call Mom! leads participants through an immersive séance experience. It is a parodic reimaging of the classic horror séance and an exploration of the tense relationships we share with conversational devices in our home."

"Take Yoti, for instance: the company provides a range of age verification services, partnering with CitizenCard to offer a digital version of its ID, and working with self-service supermarkets to experiment with automatic age recognition of individuals. John Abbott, Yoti's chief business officer, says the system is already as good as a person at telling someone's age from a video of them, and has been tested against a wide range of demographics - including age, race and gender - to ensure that it's not wildly miscategorising any particular group. The company's most recent report claims that a "Challenge 21" policy (blocking under-18s by asking for strong proof of age from people who look under 21) would catch 98% of 17-year-olds, and 99.15% of 16 year olds, for instance."

"Our social media platforms are powered by a surveillance-based business model designed to mine, manipulate, and extract our human experiences at any cost, causing a breakdown of our information ecosystem and shared sense of truth worldwide. This extractive business model is not built for us but built to exploit us."

"Just like the Twitter experiment, and to nobody's surprise -- a Facebook account that copies and re-posts President Donald Trump's posts word-for-word is immediately flagged for inciting violence."

"What wasn't publicly known until now is that Facebook actually ran experiments to see how the changes would affect publishers-and when it found that some of them would have a dramatic impact on the reach of right-wing "junk sites," as a former employee with knowledge of the conversations puts it, the engineers were sent back to lessen those impacts. As the Wall Street Journal reported on Friday, they came back in January 2018 with a second iteration that dialed up the harm to progressive-leaning news organizations instead."