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sdl

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sdl
·6 か月前·議論
Yes, in that case it's often called Photo-TAN or QR-TAN. See https://en.wikipedia.org/wiki/Transaction_authentication_num...

Previously there were also so called "flicker TAN" approaches: https://de.wikipedia.org/wiki/Transaktionsnummer#chipTAN_com...
sdl
·6 か月前·議論
German VR Banken: https://genostore.de/Banking/Kartenlesegeraete/

Sparkassen: https://www.sparkassen-shop.de/home/shop/tan-generatoren,375...
sdl
·10 か月前·議論
So basically the map projection problem [1] in higher dimensions?

[1] https://en.m.wikipedia.org/wiki/Map_projection
sdl
·昨年·議論
And in Reinforcement Learning:

POET (Paired Open-Ended Trailblazer): https://www.uber.com/en-DE/blog/poet-open-ended-deep-learnin...

SCoE (Scenario co-evolution): https://dl.acm.org/doi/10.1145/3321707.3321831
sdl
·昨年·議論
Evil and careless can be one and the same. They (FB) could not care-less about the consequences of their actions on other peoples' lives.

"The opposite of love is not hate, it's indifference." - Elie Wiesel
sdl
·2 年前·議論
In 2015, when I was asked by friends if I'm worried about Self driving Cars and AI, I answered: "I'll start worrying about AI when my Tesla starts listening to the radio because it's bored." ... that didn't take too long
sdl
·2 年前·議論
I like the Bayesian Surprise definition for this. It's not about predicting the exact next state of the world (or the next frame of the noisy TV) but about how much the next state changes your model of the world.

https://papers.nips.cc/paper_files/paper/2005/hash/0172d289d...
sdl
·3 年前·議論
I spent some (too much) time trying to get pretty much the same thing running using GOW [1]. Was quite a bit harder than I thought, requiring a hdmi dummy plug to get the xserver config right etc.

1: https://github.com/games-on-whales/gow
sdl
·3 年前·議論
See e.g. Ian Osband's work (he calls it 'risk' VS 'uncertainty' for some good examples that help in differentiating this: https://scholar.google.com/citations?view_op=view_citation&h...
sdl
·3 年前·議論
"Probabilistic Machine Learning" by Kevin Murphy is all you need. ... only half joking ;) https://probml.github.io/pml-book/