Artificial intelligence has already had a huge impact on many industries, including aviation, manufacturing, and technology. This is because the technologies used in artificial intelligence such as machine learning and deep learning can improve efficiency, help companies plan their equipment maintenance in advance, and even improve the overall performance of digital marketing.
However, there is an industry that has been deeply affected by artificial intelligence. This is the automotive industry. Artificial intelligence is creating new ways for us to travel. Soon, it will affect the manufacturing of automobiles and even change the way we manage urban transportation. The following are three points that artificial intelligence may have on the automotive industry in the future.
There is no doubt that the brunt of this is driverless cars.
The most widely discussed artificial intelligence applications in the automotive industry are semi-automatic driving and fully automated driving. Each year, automakers and technology companies add more and more AI capabilities to cars, and some companies are rapidly advancing the development of such technologies, such as Nvidia and Rainbow's unmanned company Waymo.
At the end of 2017, NVIDIA launched an artificial intelligence supercomputer DrivePXPegasus for autonomous driving applications, which has been able to give vehicles the ability to drive semi-automatically. According to Nvidia’s official disclosure, over 10 companies will use this computing platform to develop fully-autonomous driving cars in the next five years. The core of Pegasus is actually Nvidia's high-end graphics processor, and it is very suitable for real-time processing of complex image information (such as the position of pedestrians and parking signboards). Nvidia's management believes that by 2025, driverless cars will create market opportunities for a total of $8 billion.
For many people, it will take at least a few decades before a driverless car can truly become a part of our lives. But Waymo may be able to make this day even earlier. With the help of artificial intelligence, the self-driving car of Waymo can learn actively, for example, at a complicated intersection where a yellow flashing signal light is installed. With virtual simulation tests, computers have learned to slowly turn at such junctions, and this knowledge can be quickly shared with other autonomous vehicles so that all unmanned vehicles can successfully handle similar scenarios.
Currently, Waymo has traveled more than 5 million miles on public roads. Not too long ago, Waymo officials also announced that they will be opening up to the public on the basis of self-driving car-based dating services earlier this year.
Waymo's Automated Driving Schedule Service in Phoenix, Arizona, USA
Driverless cars look cool, but artificial intelligence will have another important role in the future. When driving on the street are driverless cars, artificial intelligence helps to reduce the number of casualties caused by motor vehicle traffic accidents. Intel believes that between 2035 and 2045, the development of semi-autonomous and fully-automated vehicles will allow more than 500,000 people to survive traffic accidents. After the acquisition of Mobileye last year, Intel has been promoting the development of driverless cars. Intel believes that with the help of artificial intelligence, driverless cars will create a new market and a new "passenger economy." They believe that by 2050, the new market generated by driverless technology will reach 7 trillion US dollars.
Automotive industry will usher in a huge increase
In media reports, self-driving cars almost grabbed the headlines, but artificial intelligence will in fact also change the way cars are manufactured and managed, and this technology will also improve quality control in the car manufacturing process.
A research report released by McKinsey at the end of 2017 indicates that artificial intelligence will reduce downtime during automotive manufacturing because sensors and algorithms can continuously monitor the equipment. In this report, write:
An artificial intelligence-based algorithm can acquire and process large amounts of data from a large number of sensors and other data sources, can detect an abnormal event at the first time, and can determine the degree of wear of the device and predict whether the device will be damaged in the short term.
This preventive maintenance approach can ultimately increase the operating time of the equipment by 20%, reduce the cost of equipment maintenance by 25%, and save 10% of equipment maintenance costs per year.
The report also pointed out that because the ability of artificial intelligence to detect cockroaches is 90% higher than that of humans, the quality of cars in the future will also be improved. In addition, artificial intelligence can also be used to predict consumer demand in the market, thus reducing the backlog inventory by up to 50%. In the process of car production and sales, high-quality quality control and demand forecasting can save the OEM cost.
Artificial intelligence will manage traffic in a whole new way
Artificial intelligence has another, more subtle, influence on the automotive industry: the development of smart cities. Nvidia created an artificial intelligence platform to build a smart city named Metropolis. The platform can access the city's cameras and use intelligent video analytics to manage traffic, allowing drivers to find parking more efficiently and also reduce traffic pollution.
Nvidia said that this technology can calculate pedestrian traffic and adjust traffic lights based on this data to reduce traffic jams on the street. The company also believes that due to the ease of traffic jams, the number of vehicles stopping while the engine is running decreases, so the pollutants emitted by the vehicle will also decrease. Metropolis can also cooperate with traffic cameras to improve accident reporting and processing speed, and analyze the road conditions to improve road maintenance efficiency.
At present, Redwood City, California, has used the Metropolis platform to build parking systems. Through the use of IVA and networked cameras, it can provide drivers with information on the available parking spaces in real time.
Nvidia Metropolis to Cloud IVA Platform
Share a little artificial intelligence investment advice
Artificial intelligence will change the current automotive industry in many key areas, but investors still need to be patient. Nvidia, Alphabet, Intel and other companies will still need some time to use their own technology to bring returns to investors. For example, although Nvidia’s graphics processors have brought innovations that can help us bring driverless cars and smart cities, the company’s revenue in the automotive sector accounts for only about 5% of the company’s total revenue. The same is true of Waymo, and the company hopes to eventually be able to make money from their driverless car taxi services, but the revenue they can bring to Alphabet is simply incomparable to Google’s advertising business.
It does not mean that there will be no winners in this field, and winners will eventually appear. However, when investors invest in artificial intelligence technology companies in the automotive field, they must maintain patience and be prepared for a protracted war.
Multi-Port Type-C Charger,Desktop Usb Charging Station,Usb Fast Charging Station,Multi Device Charger Organizer
shenzhen ns-idae technology co.,ltd , https://www.szbestchargers.com