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This Person Does Not Exist Is the Best One-Off Website of 2019 | Inverse - 0 views

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    "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."
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Germany Creates Ethics Rules for Autonomous Vehicles - Robotics Business Review - 0 views

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    ""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.""
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BBC - Future - Can this technology put an end to bullying? - 0 views

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    "His team trained a machine learning algorithm to spot words and phrases associated with bullying on social media site AskFM, which allows users to ask and answer questions. It managed to detect and block almost two-thirds of insults within almost 114,000 posts in English and was more accurate than a simple keyword search. Still, it did struggle with sarcastic remarks."
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This New Algorithm Can Read Your Brainwaves to See What You're Seeing - 0 views

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    "And, of course, there's the law-enforcement angle. Instead of relying on sketch artists and police lineups, a real-life version of a Recaller could tap into a witness's memory and reconstruct what they saw. Forget security-camera footage - cops just need your thoughts."
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'Creative' AlphaZero leads way for chess computers and, maybe, science | Sean Ingle | S... - 0 views

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    "Hassabis was a child chess prodigy, who learned the game aged four and was able to beat his dad three weeks later - indeed, when he started playing competitively he was so small he had to bring a pillow with him to reach the board - and became a strong player. Yet in AlphaZero's case there was no human input, other than telling it the rules of each game. "In a matter of a few hours it was superhuman," Hassabis says proudly."
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Technologist Vivienne Ming: 'AI is a human right' | Technology | The Guardian - 0 views

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    "At the heart of the problem that troubles Ming is the training that computer engineers receive and their uncritical faith in AI. Too often, she says, their approach to a problem is to train a neural network on a mass of data and expect the result to work fine. She berates companies for failing to engage with the problem first - applying what is already known about good employees and successful students, for example - before applying the AI."
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I Tried Predictim AI That Scans for 'Risky' Babysitters - 0 views

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    "The founders of Predictim want to be clear with me: Their product-an algorithm that scans the online footprint of a prospective babysitter to determine their "risk" levels for parents-is not racist. It is not biased. "We take ethics and bias extremely seriously," Sal Parsa, Predictim's CEO, tells me warily over the phone. "In fact, in the last 18 months we trained our product, our machine, our algorithm to make sure it was ethical and not biased. We took sensitive attributes, protected classes, sex, gender, race, away from our training set. We continuously audit our model. And on top of that we added a human review process.""
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When Your Boss Is an Algorithm - New York Times Opinion - Medium - 0 views

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    "The algorithmic manager seems to watch everything you do. Ride-hailing platforms track a variety of personalized statistics, including ride acceptance rates, cancellation rates, hours spent logged in to the app and trips completed. And they display selected statistics to individual drivers as motivating tools, like "You're in the top 10 percent of partners!" Uber uses the accelerometer in drivers' phones along with GPS and gyroscope to give them safe driving reports, tracking their performance in granular detail. One driver posted to a forum that a grade of 210 out of 247 "smooth accelerations" earned a "Great work!" from the boss."
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Finally, a Machine That Can Finish Your Sentence - The New York Times - Medium - 0 views

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    ""Each time we build new ways of doing something close to human level, it allows us to automate or augment human labor," said Jeremy Howard, founder of Fast.ai, an independent lab based in San Francisco that is among those at the forefront of this research. "This can make life easier for a lawyer or a paralegal. But it can also help with medicine." It may even lead to technology that can - finally - carry on a decent conversation. But there is a downside: On social media services like Twitter, this new research could also lead to more convincing bots designed to fool us into thinking they are human, Howard said."
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Britain funds research into drones that decide who they kill, says report | World news ... - 0 views

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    "The development of autonomous military systems - dubbed "killer robots" by campaigners opposed to them - is deeply contentious. Earlier this year, Google withdrew from the Pentagon's Project Maven, which uses machine learning to analyse video feeds from drones, after ethical objections from the tech giant's staff. The government insists it "does not possess fully autonomous weapons and has no intention of developing them". But, since 2015, the UK has declined to support proposals put forward at the UN to ban them. Now, using government data, Freedom of Information requests and open-source information, a year-long investigation reveals that the MoD and defence contractors are funding dozens of artificial intelligence programmes for use in conflict."
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Amazon's Clever Machines Are Moving From the Warehouse to Headquarters - 0 views

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    "About two years ago the retail team lost another key task: negotiating with major brands and manufacturers the terms of popular sales on the site called "Lightning Deals." Common during the holidays as well as Mother's Day and Father's Day, they help move lots of inventory in a short period. Now, instead of calling their vendor manager at Amazon, the makers of handbags, smartphone accessories and other products simply logged into an Amazon portal that would determine if Amazon liked the deal being offered and the quantity it was willing to buy. No small talk. No give and take. Thousands of Amazon man hours spent forecasting demand, planning marketing strategies and negotiating deals was now handled by software, a major leap in efficiency."
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Google Grapples With `Horrifying' Reaction to Uncanny AI Tech - 0 views

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    "Eck said machine learning, a powerful form of AI, will be integrated into how humans communicate with each other. He raised the idea of "assistive writing" in the future with Google Docs, the company's online word processing software. This may be based on Google's upcoming Smart Compose technology that suggests words and phrases based on what's being typed. Teachers used to worry about whether students used Wikipedia for their homework. Now they may wonder what part of the work the students wrote themselves, Eck said."
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AI: The Wealth of Nations - Towards Data Science - 0 views

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    "The Wealth of Nations, by Adam Smith, should be a required reading for every head of state. What took 17 years to be written and transformed the whole world, takes only a few days to read it. Right in the first page Smith asserts that the wealth of "every nation… [is] regulated by two different circumstances; first by the skill, dexterity, and judgment with which its labour is generally applied; and, secondly, by the proportion between the number of those who are employed in useful labour,""
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Computer Stories: AI Is Beginning to Assist Novelists - 0 views

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    "His software is not labeled anything as grand as artificial intelligence. It's machine learning, facilitating and extending his own words, his own imagination. At one level, it merely helps him do what fledgling writers have always done - immerse themselves in the works of those they want to emulate. Hunter Thompson, for instance, strived to write in the style of F. Scott Fitzgerald, so he retyped "The Great Gatsby" several times as a shortcut to that objective."
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Facebook's spam filter blocked the most popular articles about its 50m user breach / Bo... - 0 views

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    "The articles were so widely and quickly shared that they triggered Facebook's spam filters, which blocked the most popular stories about the breach, including an AP story and a Guardian story. There's no reason to think that Facebook intentionally suppressed embarrassing news about its own business. Rather, this is a cautionary tale about the consequences of content filtering on big platforms."
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There's a literal elephant in machine learning's room / Boing Boing - 0 views

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    "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."
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Yuval Noah Harari on Why Technology Favors Tyranny - The Atlantic - 1 views

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    "Can you guess how long AlphaZero spent learning chess from scratch, preparing for the match against Stockfish 8, and developing its genius instincts? Four hours. For centuries, chess was considered one of the crowning glories of human intelligence. AlphaZero went from utter ignorance to creative mastery in four hours, without the help of any human guide."
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Artificial intelligence tool 'as good as experts' at detecting eye problems | Technolog... - 0 views

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    "The groundbreaking artificial intelligence system, developed by the AI-outfit DeepMind with Moorfields eye hospital NHS foundation trust and University College London, was capable of correctly referring patients with more than 50 different eye diseases for further treatment with 94% accuracy, matching or beating world-leading eye specialists."
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Magical thinking about machine learning won't bring the reality of AI any closer | John... - 0 views

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    " Critics have pointed out that the old computing adage "garbage in, garbage out" also applies to ML. If the data from which a machine "learns" is biased, then the outputs will reflect those biases. And this could become generalised: we may have created a technology that - however good it is at recommending films you might like - may actually morph into a powerful amplifier of social, economic and cultural inequalities."
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