한어Русский языкEnglishFrançaisIndonesianSanskrit日本語DeutschPortuguêsΕλληνικάespañolItalianoSuomalainenLatina

in the 1970s, the first self-driving car composed of electronic equipment was born, which marked the advancement of human understanding and technology of transportation. however, even today, autonomous driving remains a challenging and unrealized dream.

in recent years, with the development of science and technology, intelligence has become a new trend in the automotive industry. from traditional electric and autonomous driving to the integration of artificial intelligence (ai), the automotive industry is entering a new era.

in 2018, tesla released the model 3 autonomous driving system, which sparked global enthusiasm for autonomous driving technology. today, autonomous driving technology is no longer a dream, but a reality.

chinese automobile companies are also actively embracing artificial intelligence and using it as a key factor in driving automotive changes.

zhang yongwei, vice chairman and secretary-general of the china electric vehicles association of 100, is a well-known automotive industry expert. he believes that intelligence has moved from simple functional upgrades to deeper innovations. "traditional intelligence has ushered in new automobile intelligence driven by artificial intelligence. the changes in the past have not yet been completed, and new changes are about to begin. this superimposed development has become the new normal for the development of the automobile industry."

the application scope of ai is becoming more and more extensive, not only in cockpits, intelligent driving, etc., but also changing the entire lifestyle of practitioners in the automotive industry.

zhang yongwei said that compared with tesla, the gap between chinese car companies and tesla is obvious in terms of computing power and algorithm teams. “without a computing power cluster with thousands or tens of thousands of cards, and without an algorithm team with thousands or tens of thousands of cards, it will be difficult for companies to become competitive on the new track.”

in addition, data-driven is an essential element in the era of artificial intelligence. "to train software and systems, it is not enough to rely on the amount of data from a single car company. in the ai ​​era, all competitiveness must be trained by data, and the problem of large-scale data must be solved. this requires creating our mechanism to promote data aggregation. , allowing everyone to input data into the platform in accordance with market-oriented principles, and use data in accordance with market-oriented principles to solve the current small-scale obstacle of data. "

the automotive industry is in the midst of a new technological revolution. in order to succeed in this era, companies must quickly learn and adapt to new technologies, actively explore new directions, and ultimately create their own competitive advantages.