Traditional industries will rely on artificial intelligence to introduce new formats and business models, and usher in leaps and bounds. Artificial intelligence can be widely used in manufacturing, agricultural education, finance, transportation, medical care, sports and entertainment, public management and other fields, and can also drive the rapid development of industrial robots, unmanned vehicles, VR, drones and other companies in the introduction period of the industrial life cycle.
In the next 5 to 10 years, artificial intelligence will be as ubiquitous and indispensable as water and electricity we have today.
Well, we are ready to study abroad students,How to give yourself a "good question" for your portfolioIn fact, the direction of artificial intelligence is also a good choice
Artificial intelligence majors in UK universities
Popular schools in the UK that have opened artificial intelligence majors include MSC Artificial Intelligence at Queen Mary University of London, MSC Artificial Intelligence at the University of Southampton, etc., including the four-year BSC Artificial Intelligence major at the University of Edinburgh.
The overseas AI courses are designed to provide students with cutting-edge training in AI and enhance their employability, and the course content covers five of the most popular AI topics:Games, robots, vision, and language,Each project is supported by QMUL's world-class research group.
The admission requirements for master's degree are basically computer science, programming, software engineering, artificial intelligence, mathematics and computing and other related majors, and there are also certain requirements for linear algebra (or other mathematics courses) and programming.
Artificial intelligence major in North American universities
Carnegie Mellon University, the Massachusetts Institute of Technology, Stanford University, and the University of California, Berkeley, which are well-known CS powerhouses, have consistently performed well in AI rankings.
As the first university in the United States to offer an undergraduate program in artificial intelligence, Carnegie Mellon University has been at the forefront of AI education and innovation. In addition, the University of Washington in Seattle, the University of California, San Diego, and New York University are also popular universities for study abroad applications.
In Canada, the University of Waterloo is the main one
Artificial intelligence software recommendation
chatgpt：This is a GPT-4 based chatbot that can be used for user research, demand analysis, feedback collection in the design industry, communicate with users through natural language, understand user preferences, pain points, expectations, etc., so as to improve the quality and efficiency of design.
new bing：This is a new type of search engine, which can be used for information retrieval, knowledge acquisition, inspiration, etc. in the design industry, by providing a list of links to the search experience, integrating reliable resources on the network, giving simple answers, and helping designers quickly find the information you need.
stable diffusion:This is an open-source machine learning model that can also be used to generate text-based image tasks, or to modify, complete, transform, etc. existing images, and can be used in the design industry for material making, style transfer, and detail enhancement, to reach a description, and to generate or modify an imageGive designers the freedom to create or improve their work
A six-step thinking approach to AI projects
1.Set the issue
Clarify the goals of the AI project, the problems to be solved, and the desired outcomes.
2.Data preparation
Collect relevant data and data formats, and complete data cleaning, filtering, and preprocessing.
3.Model design
Solve the problem by building appropriate neural network models, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
4.Train the model
Use machine learning algorithms to train the model and adjust the parameters to ensure that the model product or output can achieve good accuracy and efficiency.
5.Model testing
Use the test dataset to test the model and evaluate the accuracy and effectiveness of the model.