AI AND MACHINE LEARNING
AI doesn’t have to be evil to destroy human beings. If AI has a goal and human beings just block its way, it will naturally destroy human beings, even without thinking about it.
——Elon Musk, technology entrepreneur
Artificial Intelligence
- It is easy to confuse the three terms of artificial intelligence, machine learning and deep learning. First of all, we should know that they are not one thing. Artificial intelligence (AI), machine learning (ML) and deep learning (DL) are three things.
- AI is a science like number. It studies the methods of building intelligent programs and machines that can solve problems creatively.
- Machine learning is a subset of artificial intelligence (AI). It provides the system with the ability to learn and improve automatically from experience without explicit programming. In ML, there are different algorithms (such as neural networks) that can help solve problems.
Machine Learning
- Reactive machine: a technology that can respond to external stimuli in real time, but cannot build a memory bank and store information for future use.
- Memory robot: a machine that can store knowledge and use it to learn and train future tasks.
- Mental theory: the concept of artificial intelligence, which can sense and respond to human emotions and perform tasks of limited memory machines.
- Self-awareness: In the final stage of AI, machines can not only recognize others’ emotions, but also have self-consciousness and human intelligence.
How Do Machines Learn?
- Machine learning is a subset of the larger field of artificial intelligence (AI), which “focuses on teaching computers how to learn without programming for specific tasks”. The key idea behind ML is that it can create algorithms to learn and predict from data.
- Datasets. Machine learning systems are trained on a special set of samples called data sets. These samples can include numbers, images, text, or any other type of data. Creating a good dataset usually requires a lot of time and effort.
- Algorithm. It is possible to use different algorithms to solve the same task. According to different algorithms, the accuracy or speed of the results may be different. Sometimes in order to achieve better performance, we will combine different algorithms.
Machine learning and deep learning algorithm
TIn neural networks, information is transferred from one layer to another through connection channels. They are called weighted channels because each of them has an added value.
All neurons have a unique number called bias. This offset is added to the weighted sum of the inputs to the neuron, and then an activation function is applied to it. The result of this function determines whether the neuron is activated. Each activated neuron will transmit information to the following layers. Then the second layer, until the last layer, generates output for the program.
Frequently Asked Questions
Still open questions?
Vehicle-road coordination is the use of advanced wireless communication and new-generation Internet technologies to comprehensively implement vehicle-vehicle and vehicle-road dynamic real-time information interaction, and to carry out vehicle active safety control and road traffic control on the basis of full-time and spatial dynamic traffic information collection and integration. Collaborative management fully realizes the effective coordination of people, vehicles and roads, ensures traffic safety, improves traffic efficiency, and thus forms a safe, efficient and environmentally friendly road traffic system.
Data analysis refers to the use of appropriate statistical analysis methods to analyze a large amount of collected data, summarize, understand and digest them, in order to maximize the development of data functions and play the role of data. Data analysis is the process of studying and summarizing data in detail in order to extract useful information and form conclusions.
Digital twin is a universally applicable theoretical and technical system that can be applied in many fields, especially in product design, product manufacturing, medical analysis, engineering construction and other fields.
It is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, natural language processing and expert systems, etc.
The awareness of energy conservation in the energy management department of an enterprise can come from various aspects as mentioned above, and it doesn’t matter which aspect it comes from for energy management projects. It is important to convince the top management of the enterprise to establish a project so that they can firmly support the project and approve the required financial and human resources. Remember, no one makes promises to a target unless he is convinced of it.
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