One of the main methods is machine learning, which allows computers to learn from data and improve performance over time. It relies on building mathematical models and using algorithms to understand and analyze data. A common form of machine learning is deep learning, in which large artificial neural networks are used to process information and learn from large datasets. It also utilizes many other techniques such as natural language processing (NLP), where computers are able to understand and generate natural language. Natural language processing systems can understand and generate text, speak, and interact with humans using natural language.<\/span><\/p>\n Artificial intelligence can be categorized into three different types of systems: analytical, human-inspired, and artificial intelligence. To function, it requires rich input data and appropriate algorithms. The model training process typically demands a large amount of data and powerful computing capabilities.<\/span><\/p>\n <\/p>\n In transportation: Used in autonomous vehicles and traffic management systems to improve traffic safety and efficiency.<\/span><\/p>\n In healthcare: It is used to analyze medical data and assist doctors in diagnosing diseases and predicting treatment outcomes, analyzing medical images, predicting treatment results, and detecting abnormalities in medical data. Additionally, it can be applied to develop intelligent virtual assistants and chatbots, helping to provide medical information, health advice, and support human-machine interaction in the healthcare field.<\/span><\/p>\n In the banking sector, Mr. Nguyen Viet Phuong, Director of Software Development at Techcombank, stated that the bank's application of AI technology has helped verify information and identify customers through eKYC. In the context of the COVID-19 pandemic, when many customers were unable to visit banks in person, this application significantly increased the number of customers opening accounts.<\/span><\/p>\n Industry: Used to optimize production processes, reduce time, and increase productivity, from production planning to inventory management and quality control. It helps manage the supply chain, monitor and detect safety risks in the workplace, from visual surveillance to detect hazardous behavior to predicting and preventing workplace accidents. In particular, AI is applied to automate product quality checks.<\/span><\/p>\n In the restaurant industry, Mr. Nguyen Anh Nguyen, Chairman and CTO of Hatto Group, stated that AI and machine learning applications can help predict or mitigate risks related to food safety and hygiene before food reaches the table. Using AI, machine learning, and computer vision, the freshness and quality of fruits and vegetables can be monitored, helping to eliminate substandard produce.\u00a0<\/span><\/p>\n In education: It is used to provide a wealth of useful data to help students choose the best courses for themselves. It helps teachers advise, suggest teaching methods, and automate classroom management tasks. In addition, many games and educational software programs have been developed to help students interact and learn in an engaging way.<\/span><\/p>\n In the trade and travel industries: AI is changing the way businesses operate, making trade more efficient and less costly. It's developing reliable, paperless electronic applications, faster identity verification, data sharing, and standardized digital document archiving procedures. The entry of AI into the trade sector will require the development of a range of new standards, enabling improved inventory management, demand prediction, and greater accuracy in manufacturing and on-time shipping.<\/span><\/p>\n <\/p>\n AI technology can assist in discovering new knowledge and advancing across many scientific and research fields. It can search for patterns, detect relationships, and make new discoveries that humans might overlook, contributing to an improved quality of life.<\/span><\/p>\n According to Mr. Le Quoc Minh, Editor-in-Chief of Nhan Dan newspaper and President of the Vietnam Journalists Association, the opportunities of using AI technology, especially ChatGPT (short for Chat Generative Pre-training Transformer), a virtual assistant created by OpenAI, launched as a prototype in November 2022 and quickly gained attention for its ability to respond in detail and fluently across a wide range of knowledge areas.<\/a> in particular, is currently very popular. For example ChatGPT (short for Chat Generative Pre-training Transformer), a virtual assistant created by OpenAI, launched as a prototype in November 2022 and quickly gained attention for its ability to respond in detail and fluently across a wide range of knowledge areas.<\/a> can generate very complex text content from simple user commands, increasing interaction with readers and improving the user experience by answering questions and addressing customer concerns. Furthermore, when discussing the application of ChatGPT (short for Chat Generative Pre-training Transformer), a virtual assistant created by OpenAI, launched as a prototype in November 2022 and quickly gained attention for its ability to respond in detail and fluently across a wide range of knowledge areas.<\/a> in the context of a newspaper editorial office, Deputy Editor-in-Chief of Vietnamplus Nguyen Hoang Nhat believes this tool is very suitable for becoming an editorial assistant. Accordingly, ChatGPT (short for Chat Generative Pre-training Transformer), a virtual assistant created by OpenAI, launched as a prototype in November 2022 and quickly gained attention for its ability to respond in detail and fluently across a wide range of knowledge areas.<\/a> ChatGPT can be beneficial in pre-processing activities such as brainstorming and conducting initial research on a topic. Simultaneously, it can be used for post-processing, such as creating social media posts, summarizing, and optimizing a topic. With this saved time, reporters and editors can dedicate it to more in-depth research and deliver higher-quality content.<\/span><\/p>\n Many companies have recognized the power of Artificial Intelligence. Businesses have used applications to scale up, adding programming modules related to input data, training data, change data, partner management data, and technology data.\u00a0<\/span><\/p>\n In Vietnam, several Artificial Intelligence Centers have been established at universities and research institutes to encourage the development of AI technology. These centers provide support and resources to researchers and collaborate with industry partners to develop AI solutions for various fields.<\/span><\/p>\n It can support disease diagnosis, medical image analysis, epidemic prediction, and the provision of intelligent healthcare services. It can help boost the efficiency and quality of healthcare, contributing to improved healthcare in Vietnam.<\/span><\/p>\n AI technology requires large amounts of high-quality data to achieve good performance. However, collecting and accessing suitable data can be challenging, and if the data is inaccurate or not representative, its results may be unreliable.<\/span><\/p>\n While AI technology will create new and more dynamic job opportunities, it also has the potential to disrupt existing jobs. For example, the increasing use of robots, with robots and machines capable of performing many tasks currently done by humans, will lead to job losses.<\/span><\/p>\n AI technology is not evenly distributed, and access to it can create social inequality. Technical and financial disparities can lead to differences in access to and use of AI technology across countries, social classes, and regions.<\/span><\/p>\n A major challenge in AI technology is the ability to explain and understand the workings of models. In some cases, AI may produce accurate results but cannot explain how it made the decision, making it difficult for users to trust it and to detect fraud or errors.<\/span><\/p>\n For AI deployment and use, reliance on technology is a challenge. AI systems are complex and require appropriate infrastructure and resources to operate effectively. This can create a barrier for organizations and countries with limited resources.<\/span><\/p>\n AI is like a double-edged sword; it can force news organizations to cut staff to save costs, and it can even change business models that have existed for decades in the digital advertising industry.<\/span><\/p>\n <\/p>\n2. Practical applications<\/b><\/h3>\n
3. Opportunities and Challenges<\/b><\/h3>\n
Opportunities<\/b><\/h4>\n
Challenges<\/b><\/h4>\n
4. Some achievements of AI technology<\/b><\/h3>\n
ChatGPT (short for Chat Generative Pre-training Transformer), a virtual assistant created by OpenAI, launched as a prototype in November 2022 and quickly gained attention for its ability to respond in detail and fluently across a wide range of knowledge areas.<\/b><\/h4>\n
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