Facebook to Use AI to Recognize Videos

Facebook created VideoStory, a new dataset for video descriptions intended to help train systems that can automatically tell stories
01 November 2018   187

Videos have long been the main content of social networks. However, not all people can use them due to physical limitations. Therefore, Facebook developed the VideoStory system for teaching artificial intelligence so that it “automatically tells stories”.

The basis is a system that analyzes the video and creates detailed descriptions of the video. Technically, this is a set of sentences that describe in some detail what is happening. For data processing, a recurrent neural network was used, and about 20 thousand videos and 123 thousand sentences with descriptions were made as “educational material”. To do this, select the popular video from social networks.

The neural network itself had to take into account the connection between past and future events on the video, for which the researchers added an understanding of the context.

At the first stage, the system generated descriptions, although the proposals were often not related. However, potentially VideoStory can serve as a good guide for creating future systems describing what is happening on the screen. So far, the project itself has not been declared as commercial, therefore it is not known when it will be released as a finished application.

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.