In recent years, many technology companies and automakers at home and abroad have invested a lot of R&D funds and human resources in the field of autonomous driving. Tesla launched a fully autonomous driving system in 2015, marking an important progress in autonomous driving technology. Tesla's fully autonomous driving system is mainly based on deep learning technology, which can achieve autonomous control of the vehicle, avoid traffic accidents, and improve driving safety and driving comfort.
At the same time, domestic automakers are also working hard to promote the research and development of autonomous driving technology. For example, Baidu launched the Apollo project, which is lithuania mobile database committed to building a fully autonomous driving system based on deep learning, which can achieve autonomous control and intelligent driving of vehicles, improve traffic safety and driving comfort. NIO is also continuously promoting the research and development of autonomous driving technology and plans to launch a fully autonomous driving model in 2022.
The 2010s was a decade in which deep learning technology shined. Not only did it make great progress in fields such as computer vision and natural language processing, but more and more deep learning frameworks and hardware accelerators emerged, laying the foundation for the application and popularization of deep learning technology. In 2021, Google announced the launch of LaMDA Language Model for Dialogue Applications, a conversational AI based on a language model, which can conduct more natural and flexible conversations.