Shulou(Shulou.com)06/02 Report--

2016 was an important turning point in the development of artificial intelligence, when faster and stronger computing power and explosive growth of databases pushed deep learning into the limelight.

The algorithm innovation of the basic support layer took place in the late 1980s, and the basic technologies based on it are computer vision, speech recognition and natural language understanding. machines try to understand and understand the human world, communicate with humans with human language, and study the laws of human intelligent activities. Telephone robots are also based on this system.

Is the phone robot easy to use? Whether the landing of the telephone robot agent can be realized, through an overview of the artificial intelligence technology graph, we may find the answer.

Speech recognition technology pattern diagram and corresponding enterprise diagram

Speech recognition is a technology which takes speech as the research object, makes the machine automatically recognize and understand the human oral language through signal processing and recognition technology, and then converts the speech signal into the corresponding text or command. Speech interaction, which is the combination of speech recognition and speech synthesis, natural language understanding, semantic network and other technologies, is gradually becoming the main way of multi-channel and multimedia intelligent human-computer interaction.

Application of Natural language understanding: search engine and Machine Translation

Natural language understanding, that is, text understanding, is essentially different from the pattern recognition technology of speech images. Language, as the carrier of knowledge, carries a complex amount of information and is highly abstract. The understanding of language belongs to the cognitive level and cannot be accomplished only by pattern matching.

The opportunity and Challenge of artificial Intelligence Technology landing in specific Market

Looking back in essence, artificial intelligence is a tool to reduce costs and increase efficiency and empower industries to upgrade, but it is different from the attention it has received in various industries-either over-sought after or quietly. We can see the possibility of reducing cost and increasing efficiency from the three fields of health care, education and telemarketing. We can see that the changes in these markets are related to the urgent needs of the general public, and we can also see the potential effects behind these changes.

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