And therefore, machine learning training and therefore inference needs to be informed by this key information source.

Smart car (HUD), Autonomous self-driving mode vehicle on metro city road iot concept with graphic sensor radar signal system and internet sensor connect. Also known as autonomous vehicles, cars and trucks with self-driving capabilities are becoming increasingly prevalent in the new car market. Features like adaptive cruise control with low-speed follow, which can slow a vehicle and even bring it to a stop while leaving cruise control engaged, are found on Mazdas, Hondas and other makes that sell millions of new cars every year. The success of these features has apparently persuaded some drivers to change their tunes about self-driving cars. The latest AAA Autonomous Vehicle Consumer Survey found that the number of U.S. drivers who say they are afraid to drive in self-driving cars has declined from 78 percent to 63 percent over the last year.

China may be gearing up to pull ahead of the U.S. in the race to overhaul road delivery with fleets of self-driving long-haul trucks. A number of companies are developing automation technologies that promise to lower costs, reduce accidents, and improve overall efficiency for the trucking industry by allowing drivers to make longer trips that include periods of rest. In Europe and the U.S., Volvo, Daimler, Uber, and others are testing trucks capable of driving themselves under expert supervision. But several Chinese-based companies are working on automated trucks, and lenient regulations as well as a desire to overhaul the country's chaotic trucking industry may smooth the way for the technology's introduction. This could provide a handy edge in the race to develop a lucrative new way of hauling goods.