Nvidia to Represent Self-Driving Safety Report

In particular, the creators said that the main aspect of security is the autonomy of an unmanned vehicle
24 October 2018   170

NVIDIA published a report on the safety of unmanned vehicles, in which it tried to highlight all aspects of the new machines. The main thing that made the emphasis in the document - is proof of the safety of autopilots.

In the report, the company described some technical development processes. In particular, the creators said that the main aspect of security is the autonomy of an unmanned vehicle. In other words, the onboard AI must have sufficient performance not to apply for commands to the control room, but to make a decision independently in most cases. However, this is not always the case.

The report states that the safety of travel on unmanned vehicles is based on four fundamental principles.

The first is a powerful platform of artificial intelligence with the possibility of deep learning. Such a platform should be able to work with sensors, surround vision systems and other devices. Of course, this will require a powerful hardware.

The second important aspect is data processing. It is assumed that each vehicle will generate petabytes of data, so some of the information will need to be processed remotely in data centers. All this will require a completely new computing architecture and infrastructure.

Self-Driving Safety Report Illustration
Self-Driving Safety Report Illustration

The third principle is testing of unmanned vehicles in real conditions, on ordinary roads and under various driving conditions. This will allow to collect more information about the trip and supplement it with conventional computer simulation.

The fourth and last are security measures for drivers involved in testing. The NVIDIA report noted that test participants must be trained before operating such machines. 

In 2017, NVIDIA introduced a new version of the Drive PX platform for unmanned vehicles. The company claimed that it would become the basis for autonomy of the fifth level (full autonomy of unmanned vehicles), but so far this has not happened.

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.