In her delightful blog AI Weirdness, Janelle Shane entered 18,458 unique bills introduced in Massachusetts into a neural network, which then created some rather hilarious bills, including: Read the rest
How is automation in the age of smart machines going to be different than automation in the age of dumb machines? You'll find out when you watch the latest Kurzgesagt – In a Nutshell explainer video. Read the rest
And so it begins... Read the rest
Here are two bots, Estragon and Vladimr, having a conversation. Currently, 19,691 people are listening in.
My day is now officially shot. This is freakin' brilliant. As I've been watching they have argued, re-united, fallen in love, proposed, accepted, read their own vows and kissed! Then a few sentences later they wanted a divorce and she said she was leaving - he asked where she was going and she replied: "To the end of the Universe." I've had that kind of relationship - not quite as painlessly fast as theirs but --Read the rest
I thought it was a trailer for a movie, but this is a real product. It’s advertised as a virtual wife for men who live alone.
Are you looking to build out your library of Ero Guro Nansensu, Asperger’s Realism, Bigfoot Erotica, and Flarf? It could get easier, thanks to a neural network developed by researchers at Kyushu University in Japan that looks at book covers and determines their genre.
From MIT Technology Review:
Their method is straightforward. Iwana and Uchida downloaded 137,788 unique book covers from Amazon.com along with the genre of book. There are 20 possible genres but where a book was listed in more than one category, the researchers used just the first.
Next, the pair used 80 percent of the data set to train a neural network to recognize the genre by looking at the cover image. Their neural network has four layers, each with up to 512 neurons, which together learn to recognize the correlation between cover design and genre. The pair used a further 10 percent of the dataset to validate the model and then tested the neural network on the final 10 percent to see how well it categorizes covers it has never seen.