5 Ways Artificial Intelligence is Impacting the Automotive Industry
Finding applications of artificial intelligence in the automotive industry requires only a scant reading of news headlines. From IBM Watson’s partnership with the General Motors OnStar platform to Toyota’s $1 billion investment in AI-based self-driving technology, the marriage of AI with automotive technology has surely been consummated. It seems that every stakeholder in the automotive industry is looking for a way to capitalize on recent advances in AI technology.
While artificial intelligence automotive applications that involve driverless cars receive the most attention, this is only one of many uses for artificial intelligence in the car industry. In this article, we will look at artificial intelligence automotive industry trends to see what factors are driving this explosive new market.
Although attempts to create driverless cars began in the 1970s, the lack of suitable technology kept autonomous vehicles a distant dream for decades. With the development of small, powerful computers, the GPS system, and, most notably AI, self-driving cars are now not only a possibility, they are here — almost.
While totally autonomous vehicles have not made it to the showroom floor just yet, a few companies have committed to making autonomous driving a reality in the near future. Google, the recognized leader in automated car development, and Tesla are both expending millions of dollars on technology and R&D teams. Both have test vehicles on the road and are rapidly inching toward commercialization of autonomous vehicles.
Tesla, apparently, is quite comfortable that their technology is ready for the road. In October 2016, Tesla announced that all new Tesla vehicles will come equipped with all the hardware needed for fully-automated driving. However, regulation approval and software validation is needed before the vehicles can be switched into driverless mode.