What technologies does artificial intelligence include?

What technologies does artificial intelligence include?

1. machine learning: machine learning is one of the core technologies of artificial intelligence, which refers to the ability of computers to automatically learn patterns from data and make predictions and decisions. Machine learning algorithms include supervised learning, unsupervised learning, semi-supervised learning and reinforcement learning.

2. Deep learning: Deep learning is a kind of machine learning, which uses artificial neural network to simulate the connection between human brain neurons to achieve a higher level of abstraction and reasoning. Deep learning has made remarkable achievements in the fields of image recognition, speech recognition and natural language processing.

3. Natural language processing: Natural language processing is the ability to enable computers to understand and process human language. This includes text analysis, text generation, language translation, speech recognition and so on.

4. Computer vision: Computer vision refers to the ability of computers to see and understand images and videos like humans. This includes object detection, image classification, image segmentation and so on.

5. Robotics: Robotics refers to the ability of computers to control and operate robots. This includes robot design, robot control, robot perception and so on.

6. Speech recognition: Speech recognition refers to the ability of a computer to recognize and understand human speech. This includes speech-to-text and speech synthesis.

7. Knowledge representation and reasoning: Knowledge representation and reasoning refers to the ability to make computers understand and use knowledge like human beings. This includes knowledge base construction, knowledge reasoning, common sense reasoning and so on.

8. Reinforcement learning: Reinforcement learning refers to the ability to realize self-learning and decision-making by constantly trying and optimizing computers in the environment. This includes strategy optimization, value function learning and so on.

9.GANs):GANs is a machine learning model, which consists of two neural networks, one is responsible for generating data and the other is responsible for judging whether the generated data is true or not. GANs has great application prospects in image generation, style transmission and other fields.

10, Explanatory AI(XAI): Explanatory AI refers to making the decision-making process of AI understandable by human beings, thus increasing its credibility and acceptability. XAI's technology includes visualization and interpretable models.

The above is just a part of artificial intelligence technology. In fact, artificial intelligence also includes many other technologies and branches, such as decision tree, Bayesian network, support vector machine and so on. These technologies and branches have promoted the development and application of artificial intelligence to varying degrees.