
As the earliest domestic technology company that laid out artificial intelligence, Baidu has increased its R&D structure in recent years to attract top talent and promote the development of artificial intelligence. In January 2013, Baidu established the Institute of Deep Learning. At present, it has been developed into the Baidu Research Institute, which has established leading research and development institutions such as artificial intelligence laboratories, deep learning laboratories, and big data laboratories. In the aspect of talent introduction, outstanding scientists in the field of artificial intelligence Wu Enda, former Facebook senior scientist Xu Wei, former NEC Research Institute scientist Lin Yuanqing and other top international technical talents have joined Baidu. In September of this year, Baidu released its artificial intelligence core—Baidu’s brain—through its artificial intelligence algorithms, calculations, and data, optimizing its voice, image, natural language processing, and user portraits. In the areas of unmanned vehicles, smart medical services, augmented reality, and secret robots, Baidu is fully empowered. Among them, Deep Speech 2, which already has deep learning capabilities and developed to the second generation of Baidu's deep speech recognition technology, was selected in the “Top Ten Breakthrough Technologies in 2016†by MIT Technology Review, with an accuracy rate of 97%, which has reached, Sometimes even exceeds the ability of people to recognize speech. In this paper, language learning is called the next major goal of artificial intelligence. The tremendous advancements in language and picture recognition have made the technology expected to help computers more efficiently understand and generate languages. In this field, Baidu also made a considerable breakthrough. The secret robot with this ability learned the past basketball game commentary and commentary, constantly understood the game, explained the basketball game during the Olympics, and successfully translated the boring data into a commentary. The language of the staff has become the first "smart commentator" in history. In addition, the paper also introduced the advantages of reinforcement learning. Positive reinforcement learning also has a wide range of applications in many real scenarios, such as the use of this technology to solve practical problems such as autopilot and industrial robots. It is worth mentioning that Baidu’s unmanned vehicles made rapid progress last year. At the 2016 World Internet Conference, 18 Baidu unmanned vehicles were first automated in Wuzhen, under the complex road conditions of fully opened city roads. From road tests to trial operations, Baidu spent only one year. Prior to this, Baidu also obtained a driverless drive test license issued by the United States, California, to a certain extent, proved that Baidu unmanned vehicles have strong technical strength. MIT Technology Review released AI's top five forecasts Baidu helped China's AI flourish From the current point of view, Baidu Autopilot has environmental awareness, behavioral prediction, planning and control, operating systems, smart interconnection, automotive hardware, human-computer interaction, and high-precision positioning. Ten core technologies such as high-precision maps and system security. Baidu unmanned vehicle detection accuracy rate of 92.65% in the international KITTI data set, ranking first in the world. As of the end of November 2016, the number of patent applications for Baidu's automatic driving technology has reached 605. Baidu's explosive power in the Chinese AI field is driving the burgeoning Chinese AI.
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