AI Weirdness: the strange side of machine learning
Janelle Shane

Janelle Shane

Total 853 Posts
The neural network doesn’t understand ingredients

The neural network doesn’t understand ingredients

As the neural network learns to generate recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , it’s very clear from the ingredients it produces that it has no clue what these words actually mean, or whether the substances involved are powders, liquids, solids,
The neural network doesn’t understand pepper.

The neural network doesn’t understand pepper.

As the neural network tries to learn to generate recipes by looking at a 30MB cookbook [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] , there are certain ingredients it has to learn to deal with. One of the most confusing for the network is
What is teaspoons?

What is teaspoons?

I’m training a neural network to generate cookbook recipes [http://lewisandquark.tumblr.com/post/140219420017/the-silicon-gourmet-training-a-neural-network-to] . It looks at a bunch of recipes and has to figure out completely from scratch - no knowledge of what English words even are - how to start
The Silicon Gourmet: training a neural network to generate cooking recipes

The Silicon Gourmet: training a neural network to generate cooking recipes

Neural networks are computer learning algorithms that mimic the interconnected neurons of a living brain, managing astonishing feats of image classification [http://googleresearch.blogspot.com/2015/06/inceptionism-going-deeper-into-neural.html] , speech recognition [https://www.youtube.com/watch?v=yxxRAHVtafI], or music generation [https://highnoongmt.wordpress.com/2015/
Friday November 13, 2015

Friday November 13, 2015

Looks like a slanted surface of Martian desert cliffs, but this is actually an extreme closeup of a human hair. Nanoresearchers who try to describe their research often up comparing their devices to the size of a human hair - for good reason. At about 100 micrometers thick, a human hair
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Looks like a slanted surface of Martian desert cliffs, but this is actually an extreme closeup of a human hair. Nanoresearchers who try to describe their research often up comparing their devices to the size of a human hair - for good reason. At about 100 micrometers thick, a human hair
Sunday September 06, 2015

Sunday September 06, 2015

ucresearch [http://ucresearch.tumblr.com/post/128410787640]: > These are not the latest Muppets characters, but microscopic lasers that have been digitally enhanced with some googly-eyes. The nanolasers are built in the engineering labs at UC San Diego, and according to Janelle Shane, they have the potential to increase
(Untitled)

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ucresearch [http://ucresearch.tumblr.com/post/128410787640]: > These are not the latest Muppets characters, but microscopic lasers that have been digitally enhanced with some googly-eyes. > The nanolasers are built in the engineering labs at UC San Diego, and according to Janelle Shane, they have the potential to
Saturday August 29, 2015

Saturday August 29, 2015

These are microscopic balls of tin, imaged under scanning electron microscope (SEM) at 2500x (about 25x more magnification than the strongest optical microscope can manage). These very cool-looking tin samples are good for looking at when you’re trying to calibrate the SEM to produce the best images possible
(Untitled)

(Untitled)

These are microscopic balls of tin, imaged under scanning electron microscope (SEM) at 2500x (about 25x more magnification than the strongest optical microscope can manage). These very cool-looking tin samples are good for looking at when you’re trying to calibrate the SEM to produce the best images possible
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