How the future of artificial neural networks will change our lives.

1, customer service industry / administrative assistant

Traditional customer service, internal administration, this mechanical, repetitive, programmed repetitive physical labor work will be replaced by professional administrative / customer service robot.

2, the translation industry

Breaking down linguistic boundaries and helping human beings to carry out cross-ethnic, cross-language and cross-cultural exchanges has always been the sacred accusation of the professional field of "translation", and is y relied upon in the tide of globalization.

3, serving the public **** transportation drivers, bus drivers

Transportation has changed the sense of space and time of human existence, the development of the transportation industry and the speed and efficiency of the enhancement of the efficiency of the community has greatly enhanced the efficiency of the human life experience. However, the ever-increasing number of automobiles each year and the consequent rapid rise in traffic accidents have also caused irreparable loss of life and property.

4, manufacturing assembly line workers

Artificial intelligence is most often conjured up in the technology field, no doubt robots, especially in the field of industrial manufacturing robots. Industrial robots are now standard in high-end technology manufacturing, precision machinery manufacturing, mainstream automotive production and even cell phone production lines. The plethora of industrial application stories has clearly pointed the way to the future of industrial production.

5, basic medical services and auxiliary medical

In recent years in the medical industry, a number of companies have been constantly injecting a large amount of money into the direction of the application of artificial intelligence technology, especially in the field of reducing health care costs, increasing the effectiveness of medical care, enhancing medical efficiency, and improving the health of patients.

In some cases, the deep learning ability of AI has surpassed that of doctors. Experts predict continued growth in healthcare AI in 2020, especially in the areas of imaging, diagnostics, predictive analytics, and management.

6, financial auditing and risk control

Artificial Intelligence knowledge graph, deep learning, big data processing and other technologies have been widely used in the financial industry, through the depth of the application of professional strategies, the monitoring of data in the field of financial data and data analysis, decision-making direction greatly improves the efficiency of business processing, and in the daily new and In the daily new and historical financial massive data, the efficiency of artificial intelligence is artificial unattainable.

7, convenience store cashier

No salesman supermarket, also known as unmanned supermarket. Responsible for collecting money is not a salesman, but an automatic cash register robot with a camera, face recognition, machine interaction terminals, code scanning equipment. This kind of physical store without the need to line up to check out: brush your phone to enter the store, select products, take goods, and then walk away! This kind of black technology has long been a reality in 2016, with the official launch of the Amazon Go unmanned supermarket.

Features Advantages:

The characteristics and superiority of artificial neural networks, mainly in three aspects:

1, with self-learning function

For example, to achieve image recognition, only in the first of the first many different image samples and the corresponding should be recognized as a result of input into the artificial neural network, the network will be slowly learn to recognize similar images through the self-learning function.

The self-learning function is particularly important for prediction. It is expected that future artificial neural network computers will provide human beings with economic forecasts, market forecasts, and benefit forecasts, and the future of their application is very promising.

2, with associative storage function

With the feedback network of artificial neural network can realize this association.

3, with the ability to find the optimization solution at high speed

Finding the optimization solution of a complex problem often requires a large amount of computation, using a feedback artificial neural network designed for a certain problem, play the high-speed computing power of the computer, may soon find the optimization solution.