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Linkstream
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Various links I find interesting. Mostly hardcore tech :) // by @oleksandr_now. See @notatky for the personal stuff
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you can entrust government bureaucrats with your sensitive and private data, like witness protection program data, for sure!

they also get severely punished if they leak it, like half a month’s pay in fines for leaking pretty much the entire military and civilian database set (for entire EU, not only Sweden)

https://www.privateinternetaccess.com/blog/2017/07/swedish-administration-tried-glossing-leaking-eus-secure-stesta-intranet-russia/
Soft skills 2.0: talking with the machines. Teaching your fellow machines.
https://arxiv.org/abs/1707.06742
Malicious Arithmetic, mmm, tasty!
> MASCOT: Faster Malicious Arithmetic Secure Computation with Oblivious Transfer
https://eprint.iacr.org/2016/505.pdf
hmm, this one is unexpected, but given a second thought... mixing uncorrelated features just slightly biases them into normal distribution, keeping other properties intact, hence no wonder it works
Small Statistical Models by Random Feature Mixing '08
http://www.cs.jhu.edu/~mdredze/publications/mobile_nlp_feature_mixing.pdf
Even given that I firmly believe in the human brains' adaptability and cognitive capacities, I must admit I didn't expect it is possible for a regular person to see the world just as the bats do, via echolocation, with normal human ears.
Mind-blowing.

And you don't need to be blind to do this, either:
> ten sighted subjects were taught basic navigation skills within a few days (Wikipedia)

https://www.ted.com/talks/daniel_kish_how_i_use_sonar_to_navigate_the_world/trannoscript
A Solution of the P versus NP Problem
'nuff said.
https://arxiv.org/pdf/1708.03486.pdf
Not only machines confuse completely different objects. Humans too!
(lots of examples in other tweets, the link preview is not even the best one)
https://mobile.twitter.com/teenybiscuit/status/707727863571582978
Spatiotemporal Variance-Guided Filtering:
Real-Time Reconstruction for Path-Traced Global Illumination

This is huge. Literally blows every other rendering flow out of the water.
Raytraced real-time CG just became feasible for games, VR and other real-time media. Movie production becomes a lot faster, and probably cheaper, too.
http://cg.ivd.kit.edu/noscriptf.php
The referenced paper A Machine Learning Approach for Filtering Monte Carlo Noise is also interesting.
http://cvc.ucsb.edu/graphics/Papers/SIGGRAPH2015_LBF/
Growing a protocol
Practical notes on evolution of formally verified systems. Making them, well, more practical :)
https://www.usenix.org/conference/hotcloud17/program/presentation/ramasubramanian
Is that really a final epistle?..
http://www.marclaidlaw.com/epistle-3/