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katastrofa
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Re: Random photo's

April 1st, 2018, 10:10 am

It looks like France is desperately trying to take the UK's lead in the European AI research. If people they manage to recruit won't die from anaphylactic shock at Gare du Nord and learn French in 2 weeks (this is how long one can survive without water), they may have a non-zero chance to succeed.

Villani: Finally, our digital society could not be governed by black box algorithms: artificial intelligence is going to play a decisive role in critical domains for human flourishing (health, banking, housing, etc) and there is currently a high risk of embedding existing discrimination into AI algorithms or creating new areas where it might occur. Further, we also run the risk that normalization may spread attitudes that could lead to the general development of algorithms within artificial intelligence. It should be possible to open these black boxes, but equally to think ahead about the ethical issues that may be raised by algorithms within artificial intelligence.
A meaningful AI finally implies that AI should be explainable: explaining this technology to the public so as to demystify it — and the role of the media is vital from this point of view — but also explaining artificial intelligence by extending research into explicability itself. AI specialists themselves frequently maintain that significant advances could be made on this subject.

Honestly, I haven't encountered a more concise concept than machine learning in my whole research life (and I haven't worked on anything particularly complicated). It amounts to building a very complex model, namely with a large number of free parameters. This calls for some parsimonious validation criterion, which under above circumstances requires both a lot computational power and a method to estimate. The method is a stochastic steepest descent. Everything is statistically sound here, even if some particular "guts" lack a theoretical proof. The whole process is the most illustrative example of a statistical model validation I can imagine.

Talking about "opening the black box" always makes me feel uneasy. In my personal view, statistical models are supposed to be black boxes, which make no sense when opened - or at least there are no statistical grounds to ascribe any meaning to what one could see inside. I believe this is particularly applicable to NNs.
 
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Traden4Alpha
Posts: 23951
Joined: September 20th, 2002, 8:30 pm

Re: Random photo's

April 1st, 2018, 12:46 pm

Tricky!

The interactions of ML and ethics are interesting with regard to whether these machines will learn racism, sexism, and other enlightened secular society bogeymen -isms from the data they are given.

So does the data reflect "the truth" or does it reflect the consequences of an set of ugly falsehoods built on millennia of prejudice? Or what if it's somewhere in the middle and people are more equal than they are being treated but not quite as equal as ethicists would want us to believe?

At another level, though, the opening of the black box means turning the keys of the machine over to the political class who profit from their position of power. Worse, letting people take control means trusting an even less-explicable blackbox -- the human mind.
 
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tagoma
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Re: Random photo's

April 15th, 2018, 10:31 am

Image
 
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Cuchulainn
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Re: Random photo's

April 15th, 2018, 6:50 pm

Image
Amin's car?
http://www.datasimfinancial.com
http://www.datasim.nl

Approach your problem from the right end and begin with the answers. Then one day, perhaps you will find the final question..
R. van Gulik
 
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tagoma
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Re: Random photo's

April 24th, 2018, 8:23 am

Image
 
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Traden4Alpha
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Re: Random photo's

April 24th, 2018, 11:34 am

LOL! Amusing juxtapositions are actually an extremely common error committed by amateur photographers. The photographer's brain, having a 3-D visual model of the world owing to binocular vision, movement through the world, and seeing many images from many perspectives knows instinctively that the distant background cloud is not part of the nearby foreground tree. And yet the single-shot, static, monocular view seems to show them together and linked.

The tendency to try to train an AI using a database of monocular snapshots rather than binocular video clips really makes image recognition much much harder for the AI. Not only does the AI get data lacking in crucial cues about foreground-background distance separation in the scene, the images typically lack any distance information and therefore any object scale information. That "tree+cloud" image looks remarkably like the growth pattern of a slime mold (on a scale of a few centimeters) as well as a river delta (on a scale of tens of kilometers) but without scale data, the AI is likely to to confuse the three objects.
 
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katastrofa
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Re: Random photo's

May 6th, 2018, 11:54 pm

 
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Alan
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Re: Random photo's

May 13th, 2018, 3:49 am

Kilauea 2018
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frolloos
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Location: Netherlands

Re: Random photo's

May 13th, 2018, 5:31 am

Kilauea 2018
Image
Cool photo, and nice proof of continental drift theory.
 
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Alan
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Re: Random photo's

May 13th, 2018, 7:54 pm

Sure. This one is a nice proof of the Hawaiian island hotspot theory

Image
 
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tw
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Re: Random photo's

June 1st, 2018, 3:56 pm

I really love this photo. It really reminds me of those Jeff Koons' portraits from the 1980s.

Image
 
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ppauper
Posts: 70239
Joined: November 15th, 2001, 1:29 pm

Re: Random photo's

June 1st, 2018, 4:52 pm

I really love this photo. It really reminds me of those Jeff Koons' portraits from the 1980s.

Image

you can buy those sheets of notes at the mint in DC
 
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katastrofa
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Re: Random photo's

June 5th, 2018, 9:47 pm

My fridge today:
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tagoma
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Re: Random photo's

June 5th, 2018, 10:00 pm

My fridge today:
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I would like to say something to comfort you, but I just don't get what this picture represents.
 
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outrun
Posts: 4573
Joined: April 29th, 2016, 1:40 pm

Re: Random photo's

June 5th, 2018, 10:23 pm

It's settings > date & time, and then
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