With the emergence and popularity of products such as smart home appliances, wearable devices, and intelligent robots , artificial intelligence technology has entered various fields of life, causing more and more attention. So, what areas of artificial intelligence are currently applied and what technical principles are used?
What is artificial intelligence?
Artificial intelligence is a new technical science that studies and develops theories, methods, techniques and application systems for simulating, extending and extending human intelligence. It is the process of cognition, decision-making and feedback.
There have been many people who joked that artificial intelligence is like a train. You are looking forward to it. It finally comes, and then it whizzes past and leaves you behind. Although this is a kind of joke, it also reflects the rapid and unimaginable speed of the development of artificial intelligence technology. It may be a carelessness, and you are left behind.
What are the subdivisions of artificial intelligence technology?
Segmentation of artificial intelligence technology applications: deep learning, computer vision, intelligent robots , virtual personal assistants, natural language processing - speech recognition, natural language processing - general, real-time speech translation, context-aware computing, gesture control, automatic recognition of visual content , recommendation engine, etc.
1, deep learning
As an application branch of artificial intelligence, deep learning is an important application field from the perspective of the number of companies on the market or the investment preferences of investors. When it comes to deep learning, the first thing that everyone thinks of is AlphaGo. Through learning and updating algorithms again and again, they finally defeated the master of the game, Li Shishi, in the human-machine war. Baidu's robot "small degree" has repeatedly participated in the "human-machine war" of the strongest brain, and won the victory, which is also the result of deep learning.
The technical principle of deep learning:
1. Build a network and randomly initialize the weights of all connections;
2. Output a large amount of data to this network;
3. The network processes these actions and learns;
4. If this action conforms to the specified action, the weight will be enhanced, and if it does not match, the weight will be reduced;
5. The system adjusts the weights by the above process;
6. Exceeding human performance after thousands of studies;
2, computer vision
Computer vision refers to the ability of a computer to recognize objects, scenes, and activities from images. Computer vision has a wide range of subdivision applications, including medical imaging analysis to improve disease prediction, diagnosis, and treatment; face recognition is used by Alipay or online self-service to automatically identify people in photos. At the same time, there are many applications in the field of security and surveillance...
The technical principle of computer vision:
Computer vision technology uses sequences of image processing operations and other techniques to decompose image analysis tasks into small, easy-to-manage tasks. For example, some techniques can detect the edges and texture of an object from an image. Classification techniques can be used to determine if the identified features are representative of a class of objects known to the system.
The category introduction of Solar Light can be elaborated from multiple dimensions. The following is a comprehensive category introduction:
Solar Light, taken literally, refers to the light produced by solar energy, i.e., sunlight or daylight. However, in the commercial and technical fields, the category of Solar Light may more broadly cover solar related lighting equipment, inspection equipment, and various products that use solar energy for light conversion and applications.
Solar Light products usually have the following technical characteristics:
Environmental protection and energy saving: The use of renewable energy - solar energy to work, reduce dependence on traditional energy and environmental pollution.
Intelligent control: Some products have intelligent control function, which can automatically adjust the working state according to the lighting intensity, time and other conditions.
High efficiency and stability: The use of advanced conversion technology and materials to improve energy conversion efficiency and product stability.
Portable and easy to use: Some portable solar equipment such as flashlights, lamps and other small design, easy to carry and use.
With the global attention to renewable energy and the continuous progress of Solar energy technology, the market prospect of Solar Light is very broad. Especially in the home, commercial, industrial and other fields of application will continue to expand, to contribute to energy saving and sustainable development. At the same time, with the continuous innovation of technology and the continuous upgrading of products, Solar Light products will be more intelligent, efficient and convenient to meet the growing needs of people.
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