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Is driverless taxi an opportunity or a crisis, or is it an opportunity and a crisis？
Recently, Baidu launched the "Carrot Run" driverless taxi in Wuhan, Changsha, Fuzhou and other major cities for trial operation. As soon as it was ...
Development status and trends of deep learning
In 2017, the ImageNet image classification competition announced the completion of its last session. But this does not mean that deep learning has ceased. On the contrary, the research and application of deep learning have broken away from the previous stage of "classification problems" as the research theme and entered a stage of extensive development. At the same time, the number of submissions to international conferences related to deep learning has increased exponentially year by year, which also shows that more and more researchers and engineers are devoted to the development and application of deep learning algorithms.
The impact of autonomous driving robot car technology on the driverless field of new energy vehicles
the impact of autonomous robot technology in the field of driverless new energy vehicles is complex and far-reaching. It brings many opportunities and advantages, but also faces some challenges and problems. I believe that with the continuous advancement of technology and the continuous expansion of application scenarios, I believe there will be more innovations and breakthroughs in this field in the future.