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How will artificial intelligence develop in 2018?
How will artificial intelligence develop in 2018?
Year after year, Blockbuster's movies are full of artificial intelligence, which is no exception in the past year. From the 2049 "Blade Runner" to "Marjorie", then to "Star Wars: the last of the Jedi", it seems that the public to truly intelligent artificial intelligence is the description of the insatiable.
Watching and reading science fiction is very interesting, but it is important to recognize where the technology is really improving the goods and services, where it is just a dramatic performance.
Where is the effect of practice
1. chat robot based on decision making
If there is a recent pause that is worth noting, it is the development of a decision based chat robot. From the airline to the customer service, and then to the wholesale, all walks of life have used chat robots to the various stages of interaction with the customers.
As expected, as the darling of the world's communication applications, China is standing at the forefront of chat robot reaction, showing the potential of Chatbots to improve operation efficiency automatically. For example, the Baidu medical brain Melody is a medical assistant based on artificial intelligence that collects information for doctors and sometimes offers initiatives. Similar to the information collection robot currently used in the customer service industry, Melody can reduce patient's time to explain problems, and also reduce the probability that patients can repeatedly explain problems to assistants, nurses or other doctors.
Other industries (especially tourism industry) also followed this trend, for example, by collecting basic chat robot customer information, whether customers want to go visit the interrogation, they want to order what goods from room service, or their next purchase what color clothes.
2. personalized assistant application
Chatting robots tend to have negative characteristics when they are facing the crowd, which is surprising. However, when they learn from a much smaller sample, it is a completely different situation. From X.ai to 24Me, many personal assistant applications have been presented, they can accomplish simple personalized tasks, and also use predictive analysis to simplify user's life. Even so, we should be aware of a problem: personal assistant applications have better effects in the way of chatting, not by voice instructions. In the next year, we will see more and more applications of simple, small, chat based personalization assistants.
What has not been completed
1. chatting robots learning the machine
Chat robots, who interact with a large number of users, have a tendency to show disgust in human characteristics. For example, the Turing robot is an open platform, which claims that the accuracy of its Chinese speech recognition reaches 94.7%. However, the company has recently encountered trouble, and its chat robot "BabyQ" presents questions on a number of questions and answers. With machine learning chatting robots being thrown into the public, such embarrassment is a potential trap that keeps us from forgetting Tay.
When Chatbots are used in highly purposeful places, such as collecting information, guiding users to find suitable agents, allowing users to help themselves, etc., they may be perfectly faultless. But when we give chatting robots too much autonomy, they often show human characteristics that we don't want to see on the machine.
2. natural speech disposal / understanding
Although some chat robots used to move users to move through a decision tree based on user input, speech recognition is far from mature. In 2017, Siri became the most popular voice virtual assistant, but its application decreased by 17% compared with the previous year, which means its monthly active user number was reduced by 7 million 300 thousand. Although the use of family virtual assistant system has increased, such as Alexa, it is more likely that they are a new technology rather than a positive example of the natural speech processing ability of the system.
In fact, Alexa has been disturbed by the burlesque in a year. Last January, a video showed a child asking Alexa to play "Digger Digger" (a song), while Alexa would broadcast a series of keywords related to pornography. Just a few days later, a news reporter reported that a six year old girl ordered a toy house and 4 pounds of sugar biscuits from Alexa, which prompted many Alexas to hear the same news after hearing the news report.
In addition to a funny example, in fact, although Alexa is one of the most impressive techniques for natural speech disposal, it is still unable to truly deal with speech. Although automated voice menus must be improved, artificial intelligence still falls behind chatting robots in the understanding of attempts.
Among people between the ages of 16 and 24, as long as 25% of the people use voice search on their phones, as long as 7% of the people have intelligent speakers. There is no doubt that these numbers will increase, but for their current low level, there is one.