Janelle Shane spoke about experimenting with AI on the eve of Halloween. The neural network was trained with a database with the names of costumes and it learned how to create its own. Janelle was able to do this with The New York Times: Editor Jessia Ma illustrated the results.
Last year, readers of the blog AIweirdness helped Janel to collect a base of 4.5 thousand names of suits. In 2018, she used the textgenrnn neural network and collected 7,100 samples using the New York Times publication (sent by people during the year). At the first stage, the algorithm created the word and compared it with examples from the database. In the event of a mismatch, the neural network changed the structure of the selection of letters. With each stage of the development of AI (they were called "epochs"), the generated costumes became more real to be realized.
In the first epoch, the costumes “Watand Hampir”, “Deadly Zanzai Vom” met. In the third, it was already “Greek beer” and “Darot Vader”. By the fifth stage, the AI generated a “must-have minivan”, “Princess Laya”. At the seventh stage, a “giant box” and a “cyborg baby man” met. By the ninth, a “chewing cow” and a “wild Thor-pirate” appeared. And at the eleventh stage, the neural network created already full-fledged costumes, like the “death eater” or “witch hat”.
With the growing popularity of machine learning, the complexity of tasks grows and the scope of AI is expanding. At the end of October 2018, Honda, SoundHound, and three universities — Washington, Pennsylvania, and MIT — began to develop the Curious Minded Machine, an artificial, self-learning intelligence. Scientists expect the system to understand the actions of a person and offer him more effective ways to achieve goals.