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kdavis
searching PlanetScale…
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91.
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by
kdavis
9y ago
Mozilla | Machine Learning Research Engineer | Berlin, London, Paris | https://mzl.la/2qGIwic Do you dream of harnessing your machine learning knowledge to enrich users’ lives and to improve their privacy and security while
92.
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by
kdavis
11y ago
The hard question is not to exend this series up but to extend it down by only one entry. That's the real hardest IQ question ever.
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by
kdavis
11y ago
If you read until the page's end, you'll see this is an undergrad school project. So, I'd guess bringing all the world's nations to consensus was out of scope. That said, they did a wonderful job, and, as indicated by th
94.
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by
kdavis
11y ago
Yes, AI's use will only increase in the future.
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Gödel's ontological proof
(en.wikipedia.org)
55 points
by
kdavis
12y ago
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52 comments
96.
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by
kdavis
12y ago
Next time start it off the top of the Green Building!
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Alexander Grothendieck, Math Enigma, Dies at 86
(nytimes.com)
177 points
by
kdavis
12y ago
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23 comments
98.
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by
kdavis
12y ago
Question answering is hard! A couple of years ago I wrote a question answering system too; it's just sitting on my drive. I haven't decided what to do with it. Maybe open source it? You can see a demo here http://youtu.
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Al-Jazari
(en.wikipedia.org)
286 points
by
kdavis
12y ago
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122 comments
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'What If' There Were an Entire Book Devoted to Absurd Hypotheticals?
(npr.org)
1 points
by
kdavis
12y ago
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0 comments
101.
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by
kdavis
12y ago
http://www.slideshare.net/mobile/0xdata/h2o-distributed-deep...
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kdavis
13y ago
By the time I get to Arizona (Reprised)
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by
kdavis
13y ago
A search on arxiv for DeepMind[1] finds that in the last months they have been publishing some first-class stuff. [1] http://search.arxiv.org:8081/?query=DeepMind&in=
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Guest Post: Joe Polchinski on Black Holes, Complementarity, and Firewalls
(preposterousuniverse.com)
1 points
by
kdavis
13y ago
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0 comments
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Defining and detecting quantum speedup
(arxiv.org)
1 points
by
kdavis
13y ago
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0 comments
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Homotopy Type Theory (Online Course)
(cs.cmu.edu)
2 points
by
kdavis
13y ago
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0 comments
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by
kdavis
13y ago
Small world indeed. Hey Rob -Kelly
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kdavis
13y ago
It's not quite as spectacular as it sounds[1]. I've not read the paper, but it seems as if they've just found a convenient way to describe supermultiplets in 1D using doubly even codes[2]. [1] http://arxiv.org/
109.
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by
kdavis
13y ago
The "state of the art" they reference is SVM's trained on color and texture features. Pre deep belief network I'd agree with your guess on convolutional neural networks. However, now I'd guess you'd use a deep
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by
kdavis
13y ago
My guess is that you'd model the troll as a 2D simple symmetric random walk with the rabbits and black holes stationary and distributed randomly with some densities R and B. As a first go I'd assume that the topology was that of a
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What’s inside a black hole?
(quantumfrontiers.com)
6 points
by
kdavis
13y ago
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0 comments
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Government Assessment of the Syrian Government’s Use of Chemical Weapons
(whitehouse.gov)
2 points
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kdavis
13y ago
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0 comments
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Graphical Models: Theory
(blog.forty.to)
1 points
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kdavis
13y ago
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0 comments
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Symmetric black-hole curves
(mathoverflow.net)
1 points
by
kdavis
13y ago
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0 comments
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InMoov: The Robot You Can 3D Print
(makezine.com)
2 points
by
kdavis
13y ago
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0 comments
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26th Annual Conference on Learning Theory (COLT), Princeton 2013
(videolectures.net)
1 points
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kdavis
13y ago
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0 comments
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Workshop: Provable Bounds in Machine Learning (2012)
(intractability.princeton.edu)
1 points
by
kdavis
13y ago
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0 comments
118.
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kdavis
13y ago
It's a joke. (Basically I was pointing out that flying on the Space Shuttle or simply walking across the room can be interpreted as transferring data at a huge rate.)
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kdavis
13y ago
So they've "proved" that the Space Shuttle is impossible, good thing it's been retired!
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by
kdavis
13y ago
Awesome!
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