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darioizzo2

Comparing published scientific journal articles to their pre-print versions | SpringerLink - 0 views

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    The academic journals scam (in general) is quantified.
darioizzo2

Scientists Create Simple Synthetic Cell That Grows and Divides Normally | NIST - 0 views

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    scary, I think?
Marcus Maertens

Scientists establish freaky two-way communications with lucid dreamers - 0 views

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    Success rate is a little questionable, but as a proof of concept this is good enough I guess.
darioizzo2

Google ad tracking won't use your browser history - Android Authority - 0 views

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    YAY!!
richbee

Scientists have taught spinach to send emails and it could warn us about climate change... - 0 views

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    Let's hope these researchers remember to check their spam folder...
marenr

Semantic Parsing Using Content and Context: A Case Study from Requirements Elicitation ... - 0 views

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    Research group is working on turning texts into executable code.
marenr

NeuroNex - Odor2Action - 0 views

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    Let's keep a eye on this... Animals use odor cues to navigate through their environments, helping them locate targets and assess danger. Much of how animal brains organize, read out, and respond to odor stimuli across spatial and temporal scales is not well understood. To tackle these questions, Odor2Action uses a highly interdisciplinary team science approach. Our work uses fruit fly, honeybee, and mouse models to determine how neural representations of odor are generated, reformatted, and translated to generate useful behaviors that guide how animals interact with their environment.
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    reminds me of the methan smelling source finding study we did ...
koskons

Japan developing wooden satellites to cut space junk - 1 views

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    Couldn't find more details on this but sounds interesting.
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    interesting indeed as a concept and to explore how far one can go to overcome some of the natural deficiencies of wood. regarding the main purpose of debris avoidance, it's typically not the structure that survives re-entry and one would have to see the environmental effect of what would be released in the atmosphere when burning.
pablo_gomez

paperswithcode.com added Astronomy (and other fields) - 0 views

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    Also Physics, Math, Statistics, CS , see https://portal.paperswithcode.com/
darioizzo2

Could the first lunar habitat be 3D-printed with moon dust? - 0 views

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    Nice renders!!!
darioizzo2

GitHub abandons 'master' term to avoid slavery row - BBC News - 0 views

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    Seems a huge tribute to pilitical correctness, exaggerated to me from a country who has Trump as president too :)
htoftevaag

Machine Learning for Accelerated and Inverse Metasurface Design - 0 views

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    If you have 45 minutes and you want to learn a bit about inverse design of metasurfaces using machine learning, then I would highly recommend this talk. I found it very easy to follow both the physics and machine learning parts of 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.
  • ...1 more annotation...
  • This article is adapted from David Epstein’s book Range: Why Generalists Triumph in a Specialized World.
LeopoldS

Orbit Fab to launch first fuel tanker in 2021 with Spaceflight - SpaceNews - 1 views

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    interesting approach, quite a gamble in my view but moving in the right direction
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