Dr. James H. Thompson, Qualcomm’s Chief Technology Officer revealed that the company has worked on the development of artificial intelligence in the last decade but its focus is not only on cloud AI but also on low power consumption. He said that deep neural networks and deep learning run on small battery-powered terminals.
Thompson elaborated that 5G technology promises not only high speed but also low latency along with other characteristics. Overall, it adds a lot of possibilities for the application of artificial intelligence in the technology. Thompson believes that 5G and AI are crucial combinations.
He said that although today’s mobile communication technology can connect terminals and clouds, network delays inevitably affect the user experience and this is one of the core reasons that many users do not want to use cloud services. He believed that if the delay problem is solved, it is likely to bring good application results.
Further, Qualcomm CTO explained that his belief with an example of an intelligent traffic scenario where a large number of cameras at road intersections observe traffic conditions from multiple angles. Eventually, the camera and radar-equipped with the car itself can also obtain road information.
In addition, he mentioned that these data can be integrated through 5G networks and can be used to predict the situation of pedestrians on the road to avoid accidents. Thompson revealed a shocking stat that on a yearly basis, about 1.2 million people die from road traffic accidents.
He further said that the “5G+AI” dose will be widely used in smart manufacturing, smart home, smart security, and other fields. According to a recently conducted research, by 2025, the commercial value of artificial intelligence will touch 510 million US $ dollars and by 2035, 5G will generate 12.3 trillion US $ dollars of economic output globally.
