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jaihobah

Does the brain store information in discrete or analog form? - 1 views

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    "...measured the way people make certain types of decisions and say that their statistical analysis of the results strongly suggests that the brain must store information in discrete form. Their conclusion has significant implications for neuroscientists and other researchers building devices to connect to the brain."
Nicholas Lan

The Future… One Hundred Years Ago - 13 views

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    one of these again. french illustrations from 1910 of life in the year 2000. some pleasingly close. a lot of flying and robots. some inexplicable (bunch of people staring at a horse). some bmi.
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    I like them again and again ....
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    what would be todays equivalents?
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    Ha! The one about the horse is that "in 100 years there will be people who've never seen a live horse in their lives" :-) Actually it's more than true now with children asking my mother who works in the school "so, do those kangaroos really exist"? Children are fed with so much realistic BS on TV (dinosaur parks etc.) that they can hardly tell the difference between fiction and reality. If you already have offspring: have they seen, say, a live cow or chicken already? (This is most probably a reference to the quote: "Horse is as everyone can see")
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    >what would be todays equivalents? Hmmm... what about technology forecasts?
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    ah. that makes sense. what about the one where they're having dinner then?
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    No idea... another one I don't get is the one with the waiter presenting some small black-white thing to the white hair guy on a chair.
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    love the clockwork orange one
jcunha

'Harder, better, faster, stronger'-tethered soft exosuit reduces metabolic cost of running - 1 views

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    "What if running the 26.2 miles of a marathon only felt like running 24.9 miles, or if you could improve your average running pace from 9:14 minutes/mile to 8:49 minutes/mile without weeks of training?"
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    I thought the point of running a marathon was to make the effort :)
Paul N

Google's AI has learned how to draw by looking at your doodles - 0 views

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    "To create Sketch-RNN, Google Brain researchers David Ha and Douglas Eck collected more than five million user-drawn sketches from the Google tool Quick, Draw! Each time a user drew something on the app, it recorded not only the final image, but also the order and direction of every pen stroke used to make it. The resulting data gives a more complete picture (ho, ho, ho) of how we really draw." It's funny because this David Ha used to be a quant banker ha ha
jaihobah

Google's AI Wizard Unveils a New Twist on Neural Networks - 2 views

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    "Hinton's new approach, known as capsule networks, is a twist on neural networks intended to make machines better able to understand the world through images or video. In one of the papers posted last week, Hinton's capsule networks matched the accuracy of the best previous techniques on a standard test of how well software can learn to recognize handwritten digits." Links to papers: https://arxiv.org/abs/1710.09829 https://openreview.net/forum?id=HJWLfGWRb&noteId=HJWLfGWRb
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    impressive!
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    seems a very impressive guy :"Hinton formed his intuition that vision systems need such an inbuilt sense of geometry in 1979, when he was trying to figure out how humans use mental imagery. He first laid out a preliminary design for capsule networks in 2011. The fuller picture released last week was long anticipated by researchers in the field. "Everyone has been waiting for it and looking for the next great leap from Geoff," says Kyunghyun Cho, a professor"
jaihobah

Microsoft makes play for next wave of computing with quantum computing toolkit - 1 views

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    At its Ignite conference today, Microsoft announced its moves to embrace the next big thing in computing: quantum computing. Later this year, Microsoft will release a new quantum computing programming language, with full Visual Studio integration, along with a quantum computing simulator. With these, developers will be able to both develop and debug quantum programs implementing quantum algorithms.
jcunha

Compact single-shot metalens depth sensors inspired by eyes of jumping spiders - 4 views

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    Making a jumping spider eye with nanophotonics and computer vision: depth from defocus with an integrated mentalens sensor! Some in the ACT might be familiar with the concept...
Athanasia Nikolaou

Measuring the predictability of life outcomes with a scientific mass collaboration | PNAS - 3 views

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    This is a social sciences paper trying to make use of ML. Quote from text: "Social scientists studying the life course must find a way to reconcile a widespread belief that understanding has been generated by these data-as demonstrated by more than 750 published journal articles using the Fragile Families data (10)-with the fact that the very same data could not yield accurate predictions of these important outcomes." "(...) In other words, the submissions were much better at predicting each other than at predicting the truth."
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    an important message to learn from
darioizzo2

Physics - Locating Objects with Quantum Radar - 1 views

shared by darioizzo2 on 29 May 20 - No Cached
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    Of interest for debris monitoring and SSA? It has been suggested in the kelvins discussions.....
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    this is something that I think would really make sense to look closer into, also checking what ESA might have already done on it
Luís F. Simões

Why Is It So Hard to Predict the Future? - The Atlantic - 1 views

  • The Peculiar Blindness of Experts Credentialed authorities are comically bad at predicting the future. But reliable forecasting is possible.
  • The result: The experts were, by and large, horrific forecasters. Their areas of specialty, years of experience, and (for some) access to classified information made no difference. They were bad at short-term forecasting and bad at long-term forecasting. They were bad at forecasting in every domain. When experts declared that future events were impossible or nearly impossible, 15 percent of them occurred nonetheless. When they declared events to be a sure thing, more than one-quarter of them failed to transpire. As the Danish proverb warns, “It is difficult to make predictions, especially about the future.”
  • Tetlock and Mellers found that not only were the best forecasters foxy as individuals, but they tended to have qualities that made them particularly effective collaborators. They were “curious about, well, really everything,” as one of the top forecasters told me. They crossed disciplines, and viewed their teammates as sources for learning, rather than peers to be convinced. When those foxes were later grouped into much smaller teams—12 members each—they became even more accurate. They outperformed—by a lot—a group of experienced intelligence analysts with access to classified data.
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  • This article is adapted from David Epstein’s book Range: Why Generalists Triumph in a Specialized World.
richbee

Ecotricity founder to grow diamonds 'made entirely from the sky' | Renewable energy | T... - 0 views

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    (Lucy in the sky with diamonds....?) UK billionaire is using entirely renewable sources to make "sky diamonds" from captured CO2 and hydrogen from rainwater... The CVD technology they use is not new but the idea of mining diamonds from the sky is cool!
eblazquez

Bloomberg - The Only Crypto Story You Need - 0 views

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    We're obviously not crypto-bros in the team, but this lengthy article is nonetheless very much worth a read to try to make sense of all this madness. Written by an expert in economics and finance, doesn't hold back any punches!
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