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

How to understand and understand artificial intelligence? Many novices are not very clear about this. In order to help you solve this problem, the following editor will explain it in detail. People with this need can come and learn. I hope you can gain something.

The understanding and understanding of artificial intelligence are: 1, covering many research areas; 2, tending to deep learning, reinforcement learning, natural language processing; 3, a wide range of applications in the future; 3, becoming a new economic factor.

Understanding and understanding of artificial intelligence:

Since the 1950s, computer scientists have devoted themselves to developing programs similar to human intelligence. When these programs are developed to a certain level, they can replace humans in some specific application scenarios. They are called artificial intelligence (AI) and cognitive computing.

In the 1980s, people trumpeted the concept, but then ushered in the "winter of artificial intelligence", announcing the disillusionment of this good wish. Until recently, some breakthroughs in this field have finally convinced the academic community that artificial intelligence will not only bring about intelligent machines that liberate people, but also give birth to new technologies.

1. Covers many research fields: computer science, psychology, philosophy, neuroscience, sociology, mathematics, biology

In computer science, artificial intelligence is an interdisciplinary research field. According to the different research objectives, it involves solutions in mathematics, informatics, speech recognition, computer vision, robotics and other disciplines. Since developers began to teach computers to understand emotions such as compassion, happiness and willingness to help, psychological and philosophical models have also been included in the study. In addition, since the computer program also needs to make decisions in tasks such as autonomous driving or the management of insurance companies, it must also be able to answer questions in the legal field, especially those relating to liability claims.

2. Research trend of artificial intelligence.

Trend 1: deep learning

Deep learning refers to learning through multi-layer artificial neural networks. This network model is based on the human nervous system. In the human brain, the more neural pathways are used, the more active they become, and the same applies to software networks.

Trend 2: reinforcement learning

The traditional machine learning model focuses on finding fixed patterns in the data, while the reinforcement learning program goes a step further. They make decisions to achieve specific goals as much as possible. This reflects the transition from predictive analysis to instructive analysis.

Trend 3: natural language processing

Natural language processing and automatic language recognition are both the most widely used artificial intelligence technologies. Whether it's Google's search function, Siri's voice commands, or Amazon Alexa's control of household appliances, they are all based on voice recognition and understanding.

3. Future applications of artificial intelligence: industrial and service robots, office software, interconnected electric transportation, medical diagnosis software.

In the future, robots that can learn simple processes with the help of artificial intelligence will be used to support workers in factories, warehouses, hospitals and nursing homes. Programs that can make their own decisions will soon be able to handle simple management tasks such as archiving and standardizing program communications. In the field of interconnected electric transportation, autonomous vehicles will coordinate with each other to optimize road traffic. This can save big cities from traffic paralysis and make them more livable. Experts have also found that intelligent medical diagnosis systems can bring great benefits to people. After training, these systems can be used to detect anomalies and provide preliminary analysis.

4. New economic factors

Experts believe that artificial intelligence technology is bringing fundamental changes to economic activity. Now, the key factor of economic growth is no longer capital or labor, but depends on how industrial countries make full use of the opportunities brought about by artificial intelligence technology. This new growth model is based on data. In the future, the value of data to the business and work environment is comparable to that of mineral oil in the 1970s. At the same time, data is the basis of machine learning: the more data a program processes, the more accurately it can perform operations such as fault detection, prediction, speech recognition or motion.

Is it helpful for you to read the above content? If you want to know more about the relevant knowledge or read more related articles, please follow the industry information channel, thank you for your support.

Welcome to subscribe "Shulou Technology Information " to get latest news, interesting things and hot topics in the IT industry, and controls the hottest and latest Internet news, technology news and IT industry trends.