Understand what AI artificial intelligence is in three minutes? Development trends, applications in various fields and careers - AI4kids

The impact and importance of artificial intelligence (AI) on the future are self-evident. Within ten years, it is foreseeable that AI technology will accelerate the transformation of all industries and change our way of life. So, how should we understand AI and adapt to the changes of the times?

What is AI (Artificial Intelligence)?

Artificial Intelligence (AI), if explained in one sentence, means that machines made by humans can exhibit intelligence. It usually means that computers can "simulate" human thinking processes or "display" human behavioral capabilities. For example: reasoning, knowledge, planning, learning, communication, perception, the ability to move objects, use tools and operate machinery, etc.

Is ChatGPT also a product of AI artificial intelligence?

The hottest topic recently is "ChatGPT". I believe everyone's idea of ​​the existence of this number is: an AI system that can converse naturally like humans, can produce articles quickly, can collect information from various fields more quickly, etc. ChatGPT is a large language model launched by OpenAI, an artificial intelligence research company. Its full English name is Chat Generative Pre-trained Transformer. Friends who have had text conversations with ChatGPT will definitely feel that they are talking to real people, because ChatGPT simulates the process of human language generation, and uses a large amount of conversation data to understand the intention and logic of each of your sentences, and then provide the content you need in response. This is a kind of deep learning. However, ChatGPT is not yet fully mature and still requires a period of learning and training. There is still a lot of room for improvement in answering some more difficult questions. There are still some language deviations, logical errors and other computational problems. There are still many controversial issues, such as intellectual property rights, which are controversial points that have not yet been determined.

We can find that AI is gradually becoming more and more relevant to our lives. It is definitely a key trend in the future in all fields and aspects. Next, we will take you to further understand the applications, technologies and examples of AI (Artificial Intelligence)!

In what fields, technologies and examples is AI artificial intelligence applied?

AI is not the future, it is happening now, and it’s progressing very fast! You may not feel it, but AI has already been realized in our lives. For example: The artificial intelligence that is most relevant to our lives is mobile phones and computers. As long as you speak into the phone, there will be a voice response that can help confirm your itinerary or make a call, and provide the most appropriate driving route planning. Recommended videos on YouTube, Line chatbots, self-driving cars, cancer identification and diagnosis, smart surveillance and crime prevention, etc., are all attributed to the advancement of artificial intelligence. Artificial intelligence application services are becoming more and more widespread and integrated into the operation of modern society. There are many mobile phone applications with built-in voice assistants and chatbots. They use artificial intelligence technology to recognize what you say and make inferred responses.

AI applied in medical industry

The field of digital health includes mobile health (mHealth), health information technology (Health IT), wearable devices, telehealth and telemedicine, personalized medicine and other application areas.

AI in business

Using data analysis to improve customer service through customer relationship management (CRM), smart stores use facial and motion recognition technology, combined with RFID smart shelf data collection to infer and analyze customer purchasing behavior, and then combine it with IoT technology and related smart devices, electronic payment, etc. to digitize physical stores.

AI in Education

By using AI facial recognition, body recognition, brain wave detection, and breathing patterns in the classroom, we can track and analyze students' concentration and learning outcomes. By creating smart blackboards and virtual scenarios such as AR and VR, we can increase students' interaction and understanding of teaching materials and create a new learning experience.

AI in finance

Smart finance is built on the foundation of the financial Internet of Things. Through the financial cloud, the financial industry can achieve a comprehensive and intelligent upgrade in terms of business processes, business development, and customer service, thus realizing the intelligence of financial business, management, and information security protection.

AI in the legal field

The advantage of applying AI in the legal field is that the machine can collect and mine big data to derive relevant legal opinions and make dynamic comparisons for judges to refer to. In addition, legal AI robots can also predict the results of judgments. In addition to significantly reducing the costs of collecting, storing, processing and analyzing legal text information, AI will also enable predictions based on deep learning to be far superior to current manual analysis of judgment texts. It is foreseeable that lawyers will engage in a high degree of human-machine collaboration with AI in the future. AI is bound to become a new assistant and substitute for lawyers, and will be applied in four major areas: legal retrieval, document review, case prediction, and basic legal consulting services.

AI in manufacturing: Collaborative robots simplify manual processes...

The greatest help AI brings to the manufacturing industry is to enable machines to have the same judgment ability as humans. Not only can they automatically complete various manufacturing processes, but through training and learning from big data, they can also judge, predict, and take appropriate responses. For example, AI’s process analysis and parameter optimization technologies have been applied in the optoelectronic semiconductor industry, AI visual recognition technology has achieved automated defect detection, and self-learning robot arms have created production benefits for smart unmanned factories.

AI in transportation

AI applications in transportation include: road safety management, vehicle monitoring, license plate recognition (ANPR) and vehicle type recognition (MMR)

It monitors traffic abnormalities such as speeding, running red lights, overloading, etc., and also provides solutions for real-time traffic status management, public parking lot management, station passenger flow and carrying capacity management, and vehicle illegal lane change monitoring. Especially under traffic control, public transportation operators can flexibly respond to peak hours and predict emergencies, properly allocate control and maintenance resources, and ensure passenger safety. The automotive industry is developing self-driving cars, using multiple sensors combined with image object recognition technology to monitor road conditions and implement functions such as automatic following, lane departure warning, and automatic driving, thereby reducing the chance of traffic accidents.

AI applied in information security

With the assistance of AI, information security engineers can solve information security problems fully or semi-automatically, and can also perform predictive analysis. In addition, how to verify the specifications of AI systems and how to ensure the functionality, security, robustness and fairness of AI are also important issues in the application of AI in cybersecurity.

What are the future development prospects of artificial intelligence?

Artificial intelligence will be relevant to all industries in the future. It is good at handling repetitive tasks and large amounts of data, especially workloads that humans cannot afford. AI-related technologies such as precision control, computer vision, edge computing, natural language processing, etc., integrate these applications, not only can the processing be completed in an instant, but errors and problems can also be found one step earlier. Such excellent assistants may indeed replace humans one day, causing some people to lose their jobs. However, artificial intelligence cannot replace human creativity and thinking, nor can it establish a close emotional connection with people. Therefore, we must learn the knowledge and skills of artificial intelligence and use the high efficiency of artificial intelligence to complete many tasks. Of course, it may also create more new jobs!

What are the job responsibilities or careers of AI engineers, and what programming skills do they need to develop?

As technology becomes more and more advanced, artificial intelligence can be seen everywhere in our daily lives, and AI engineers have become a hot job. AI engineers must have programming skills, crawling and data cleaning skills, image recognition/text recognition skills, statistics and machine learning skills, and their work content tends to be data collection and analysis, or designing corresponding neural networks according to system requirements, analyzing the accuracy and error rates of actual applications, and even theoretical derivation of network models and algorithm development. Of course, in addition to AI engineers, in the future, "human-machine collaboration" - humans working together with intelligent machines or computers - will inevitably occur in our work field, using the efficiency of artificial intelligence to completely change the way we work, and to assist and expand people's capabilities. Through this collaborative intelligence, humans and artificial intelligence can enhance and complement each other. The advantages of both sides include humans' leadership, teamwork, creativity, and social skills; artificial intelligence has speed, scalability, and quantification capabilities. Both of these capabilities are what future companies will need.

Python AI artificial intelligence introductory course recommendation

The core technologies of artificial intelligence are "machine learning" and "deep learning". In the process of building artificial intelligence, programming ability is indeed indispensable. Whether it is the initial data collection, data analysis, training AI models, to optimizing AI predictions, they all need to be processed through programs, especially the Python programming language, which is most commonly used in the fields of data science and machine learning. Python is simple and easy to learn, has a wide range of applications, and has a gentle learning curve. It is suitable as the first entry-level programming language. Through rich and practical packages such as pandas, SciPy/NumPy, scikit-learn, matplotlib and statsmodels, data analysis can be performed, which is suitable for various types of AI integration projects.

To understand the application of Python language, beginners can refer to the two online courses " Introduction to Python Programming Language Basics " and " Python Programming Language Data Science ". Before entering the AI ​​technology hall, you should prepare the ability to implement Python programming.

Summarize

AI technology is advancing by leaps and bounds. All countries regard AI talent cultivation and AI technology research and development as important national strategies. It is expected that more AI talents will be needed in the workplace in the future, such as machine learning engineers, predictive modelers, business analysts, data scientists, computer vision engineers, computer linguists, information strategists and other AI professionals. This is an age of lifelong learning. If you want to participate in the technological advancement of this era, you can start learning now!

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AI Programming Courses

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