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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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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/
look ma, we've found NSA-authored parts in your Intel CPU!
http://blog.ptsecurity.com/2017/08/disabling-intel-me.html
The Mating Rituals of Deep Neural Networks: Learning Compact Feature Representations through Sexual Evolutionary Synthesis
https://arxiv.org/abs/1709.02043
a useful technical report, showing the amount of work that separates "shiny new ML model" from even a prototype product
A Deep Reinforcement Learning Chatbot
https://arxiv.org/pdf/1709.02349.pdf