Deng Li, chief scientist of Microsoft artificial intelligence, said in an interview with CSDN that deep reinforcement learning is the key technology of AIBots. In this article published in venturebeat, he analyzed in detail why AIBots, AIBots implementation, and deep enhancement are needed. Learn how to make a difference. In March of this year, Microsoft CEOSatya Nadella talked about the future industry trend of more commonly using human language to interact with computer devices, which he called the Conversationasa Platform. At the same time, he also announced several Bot projects, including Microsoft Bot architecture (botframework); in April, Facebook released the Bots-based chat robot platform MessengerPlatform; in May, Google announced the attempt to develop AI-driven Bots, and named GoogleAssistant . At this point, Bots has been widely regarded as a new user interface (UI) that will fundamentally change the human-computer interaction experience. Problems with Apps and Web models? The Apps platform was developed by Apple for smartphones years ago, and Google subsequently launched GooglePlayStore. The application platform is based on a unified resource model (the model specifies the memory and processing speed required for the phone to meet the demand), but the disadvantage is that a large number of applications are flooding the user's mobile phone screen, although they often use less than 20 APPS. Around. In fact, the total number of commonly used smartphone apps is actually declining. In general, although millions of applications have been developed, most of them have never been used. This will undoubtedly result in a lot of waste of device resources and user time (for downloading, installing, and managing Apps). Web models perform worse on mobile interfaces. The amount of access to web services through mobile devices is low. This lower usage stems from the fact that many popular websites are designed and optimized to cater to non-mobile PCs, while PCs are typically typical broadband access.
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