AI to Design Halloween Costumes

Artificial intelligence can be really spooky in the eve of Helloween
29 October 2018   234

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.

Intel to Present Neural Compute Stick 2

Neural Compute Stick 2 is an autonomous neural network on a USB drive
15 November 2018   116

At the Beijing conference, Intel introduced Neural Compute Stick 2, a device that facilitates the development of smart software for peripheral devices. These include not only network equipment, but also IoT systems, video cameras, industrial robots, medical systems and drones. The solution is intended primarily for projects that use computer vision.

Neural Compute Stick 2 is an autonomous neural network on a USB drive and should speed up and simplify the development of software for peripheral devices by transferring most of the computation needed for learning to the specialized Intel Movidius Myriad X processor. Neural Compute Engine, responsible for the high-speed neural network of deep learning.

The first Neural Compute Stick was created by Movidius, which was acquired by Intel in 2016. The second version is 8 times faster than the first one and can work on Linux OS. The device is connected via a USB interface to a PC, laptop or peripheral device.

Intel said that Intel NCS 2 allows to quickly create, configure and test prototypes of neural networks with deep learning. Calculations in the cloud and even access to the Internet for this is not needed.

The module with a neural network has already been released for sale at a price of $ 99. Even before the start of sales, some developers got access to Intel NCS 2. With its help, projects such as Clean Water AI, which use machine vision with a microscope to detect harmful bacteria in water, BlueScan AI, scanning the skin for signs of melanoma, and ASL Classification, real-time translates sign language into text.

Over the Movidius Myriad X VPU, Intel worked with Microsoft, which was announced at the Developer Day conference in March 2018. The AI ​​platform is expected to appear in upcoming Windows updates.