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dr tech

The GPS app that can find anyone anywhere | Technology | The Guardian - 0 views

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    "The algorithm behind what3words took six months to write. Sheldrick worked on it with two friends he had grown up with. Mohan Ganesalingham, a maths fellow at Trinity College, Cambridge, and Jack Waley-Cohen, a full-time quiz obsessive and question-setter for Only Connect. After the initial mapping was complete, they incorporated an error-correction algorithm, which places similar-sounding combinations a very long way apart."
dr tech

The Matchmaking Algorithm That Lets Zoos Swipe Right on Animals - 0 views

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    "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."
dr tech

Chinese schools are testing AI that grades papers almost as well as teachers | VentureBeat - 0 views

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    "It is also self-improving. The 10-year-old grading software leverages deep learning algorithms to "compare notes" with human teachers' scores, suggestions, and comments. An engineer involved in the project compared its capabilities to those of AlphaGo, the record-breaking AI Go player developed by Google subsidiary DeepMind."
dr tech

Police trial AI software to help process mobile phone evidence | UK news | The Guardian - 0 views

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    "Cellebrite, the Israeli-founded and now Japanese-owned company behind some of the software, claims a wider rollout would solve problems over failures to disclose crucial digital evidence that have led to the collapse of a series of rape trials and other prosecutions in the past year. However, the move by police has prompted concerns over privacy and the potential for software to introduce bias into processing of criminal evidence."
dr tech

"The Biology of Disinformation," a paper by Rushkoff, Pescovitz, and Dunagan / Boing Boing - 0 views

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    "Already, artificially intelligent software can evolve false political and social constructs highly targeted to sway specific audiences. Users find themselves in highly individualized, algorithmically determined news and information feeds, intentionally designed to: isolate them from conflicting evidence or opinions, create self-reinforcing feedback loops of confirmation, and untether them from fact-based reality. And these are just early days. If memes and disinformation have been weaponized on social media, it is still in the musket stage."
dr tech

Software 'no more accurate than untrained humans' at judging reoffending risk | US news... - 0 views

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    "The algorithm, called Compas (Correctional Offender Management Profiling for Alternative Sanctions), is used throughout the US to weigh up whether defendants awaiting trial or sentencing are at too much risk of reoffending to be released on bail.

    Since being developed in 1998, the tool is reported to have been used to assess more than one million defendants. But a new paper has cast doubt on whether the software's predictions are sufficiently accurate to justify its use in potentially life-changing decisions."
dr tech

Facebook Is Now Using AI to Help Prevent Suicides - 0 views

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    "Facebook has detailed the steps it's taking to get help for people who need it. Which involves using artificial intelligence to "detect posts or live videos where someone might be expressing thoughts of suicide," identifying appropriate first responders, and then employing more people to "review reports of suicide or self harm".

    The social network has been testing this system in the U.S. for the last month, and "worked with first responders on over 100 wellness checks based on reports we received via our proactive detection efforts." In some cases the local authorities were notified in order to help."
dr tech

Computer says no: why making AIs fair, accountable and transparent is crucial | Science... - 0 views

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    "In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance.

    The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack.

    The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."
dr tech

Who do you trust? How data is helping us decide | Technology | The Guardian - 0 views

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    "Should we embrace these new trust algorithms? Baveja and Shapiro acknowledge the responsibility that comes with trying to take ethical decisions and translate them into code. How much of our personal information do we want trawled through in this way? And how comfortable are we with letting an algorithm judge who is trustworthy?"
dr tech

Noriko Arai: Can a robot pass a university entrance exam? | TED Talk | TED.com - 0 views

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    "How can we help kids excel at the things that humans will always do better than AI?" Great talk - she also presented at recent IB conference in Yokohama.
dr tech

The Age of the Algorithm - 99% Invisible - 0 views

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    "But the answer to how he was chosen is actually an algorithm, a computer program that crunched through reams of data, looking at how much each passenger had paid for their ticket, what time they checked in, how often they flew on United, and whether they were part of a rewards program. The algorithm likely determined that Dr. Dao was one of the least valuable customers on the flight at the time."
dr tech

Meet Dr. A.I.: Can an App Diagnose Your Health Issues? - 0 views

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    "The results may seem similar to what you'd get if you'd searched WebMD, Mayo Clinic, etc. The difference is that Dr. A.I. pulls in many more data points than those sites do, then combines artificial intelligence with a massive database to pinpoint the most likely results in your specific case. It doesn't just find all possible ailments and list them for you to explore further on your own."
dr tech

Computer science students should learn to cheat, not be punished for it - 0 views

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    "There's a certain irony that, in fields outside of computer science, plagiarism is a sign that you didn't understand the question. Within computer science, the opposite is true. Not only have you found an acceptable solution, you've understood it enough to use it within the parameters of your own project."
dr tech

Scientists discover how the brain recognises faces - by reading monkey's minds | Scienc... - 0 views

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    "Instead, the new work shows our brains rely on the kind of maths that an algorithm might use to perform the task. In fact, Tsao and her colleague, Steven Le Chang, stumbled on their discovery while working on computer vision. The pair had initially set themselves the challenge of coming up with a way of reliably converting facial images into a numerical representation."
dr tech

Curious AI learns by exploring game worlds and making mistakes | New Scientist - 0 views

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    "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."
dr tech

The coded gaze: biased and understudied facial recognition technology / Boing Boing - 0 views

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    " "Why isn't my face being detected? We have to look at how we give machines sight," she said in a TED Talk late last year. "Computer vision uses machine-learning techniques to do facial recognition. You create a training set with examples of faces. However, if the training sets aren't really that diverse, any face that deviates too much from the established norm will be harder to detect.""
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