What is Artificial Intelligence (AI)? How is it applied in daily life?

Today, artificial intelligence (AI) technology is extensively researched and applied in various aspects of life such as technology, machine learning, real estate, and healthcare. So, what is artificial intelligence (AI) and how is it applied in daily life? Let's find the answers with Mytour in the article below.

What is AI? Development and applications of artificial intelligence in daily life.

1. What is Artificial Intelligence (AI)?

AI (Artificial Intelligence) or artificial intelligence is a technology that simulates human thinking and knowledge acquisition processes for machines, especially computer systems. Some applications using artificial intelligence (AI) include expert systems, speech recognition applications, and machine vision applications.

Artificial Intelligence, AI, was coined by American computer scientist John McCarthy in 1956 at the Dartmouth Conference. Nowadays, the term AI also encompasses process automation through Robots and real-world Robotics.

Recently, a new term has emerged called Big Data or the increase in speed, size, and collection of diverse enterprise data. AI can perform tasks such as identifying patterns in data more efficiently than humans, allowing businesses to gain a better understanding of their data.

What is reactive AI technology?

2. Classification of Artificial Intelligence (AI)

Artificial Intelligence is classified in various ways. Here are 2 typical examples of classifying Artificial Intelligence.

Firstly, the classification of Artificial Intelligence (AI) is based on a system comprising strong or weak artificial intelligence. Weak artificial intelligence, also known as Narrow AI, is an AI system designed and trained for specific tasks. Virtual assistants like Apple's Siri are examples of weak artificial intelligence.

Strong artificial intelligence, also known as Artificial General Intelligence or synthetic intelligence, is an AI system equipped with the general cognitive ability of humans to solve unfamiliar tasks intelligently. The Turing test, developed by mathematician Alan Turing in 1950, is a method used to verify whether a computer can exhibit human-like thinking, although this method is controversial.

The second example comes from Arend Hintze, an associate professor of integrative biology and computer science and engineering at Michigan State University. He categorizes AI into 4 types, from current AI systems to sensory systems that do not yet exist.

* His categories include:

Type 1: Reactive Machines. A classic example is Deep Blue, IBM's chess program that defeated Garry Kasparov in the 1990s. Deep Blue can identify pieces on the chessboard and predict moves, but it lacks memory and cannot use past experiences to inform future decisions. It analyzes its own and its opponent's moves and selects the most strategic move. Deep Blue and Google's AlphaGo are designed for narrow purposes and cannot easily be applied to different situations.

Type 2: Limited Memory. These AI systems can use past experiences to make decisions for the future. Some decision-making functions in self-driving cars are designed based on this approach. Observations are used to anticipate actions that will occur in the near future, such as a car changing lanes. These observations are not permanently stored.

Type 3: Theory of Mind. This is a psychological term. It refers to understanding that humans have beliefs, desires, and intentions that influence their decisions. However, this type of AI does not yet exist.

Type 4: Self-Awareness. With this classification, AI systems have self-awareness. Machines with self-awareness understand their current state and can use information to infer what others are feeling. This type of AI does not yet exist.

How many types of AI are there? Details on classifying artificial intelligence (AI).

* Evolution of Artificial Intelligence

- Automation is the process of creating systems or functions that operate automatically. For example, automating processes using Robots to perform large-scale tasks that humans frequently repeat. Automation through Robots differs from IT automation in that it can adapt to various changing circumstances.

- Machine Learning is the science of enabling a computer to perform actions without being explicitly programmed. Deep Learning is a subset of Machine Learning, with relatively simple terms, which can be considered as the automation of predictive analytics.

There are 3 Machine Learning algorithms, including: Supervised Learning, where data set is labeled so that patterns are detected and used to label new data sets. Next is Unsupervised Learning, where data set is unlabeled and organized by similarity or difference. And finally, Reinforcement Learning, where data set is unlabeled, but after taking an action or some actions, the AI system is given feedback.

- Machine Vision (image-based identification and control system) is the science making computers see. Machine Vision collects and analyzes visual information using a camera, digitizing it, and processing digital signals. It is often compared to human vision, but machine vision is not constrained by biology and can be programmed to see through walls. A prime example is machine vision used in a range of applications from signature recognition to medical image analysis. Machine Vision, focusing on machine-based image processing.

- Natural Language Processing (NLP) is the process of computerized language processing of humans rather than computers. One of the most famous examples is spam detection, reading email subject lines and text, and deciding whether it is spam or not. NLP handles tasks including text translation, sentiment analysis, and speech recognition.

- Pattern recognition is a part of Machine Learning, which focuses on identifying patterns in data.

-Robotics is an engineering field focusing on designing and manufacturing robots. Robots are often used to perform difficult tasks for humans, and are used in assembly lines to manufacture cars or by NASA to transport large objects in space. More recently, researchers are using machine learning to build robots that can interact in social environments.

The integration of artificial intelligence with other technologies

3. Applications using artificial intelligence

Below are some typical applications of artificial intelligence:

- AI in Healthcare: AI contributes to improving patient health outcomes while reducing treatment costs. Companies are applying Machine Learning to diagnose more quickly and accurately than humans. IBM Watson, for example, is one of the best healthcare technologies capable of understanding natural language and providing requested answers. It leverages patient data and other available data sources to generate hypotheses and present a reliable briefing. Other AI applications include chatbots, online computer programs to answer questions and assist customers, schedule appointments, or assist patients through the payment process, and virtual medical assistants providing basic medical feedback.

- AI in Business: Process automation using Robots is applied to tasks that humans perform repetitively. Machine Learning algorithms are integrated into analytics and CRM platforms to uncover insights on how to better serve customers. Chatbots are integrated into websites to provide instant service to customers.

- AI in Education: AI can automate sorting, helping educators save significant time. AI can assess students and adapt to their needs. Additionally, AI can provide additional support for students as tutors, ensuring they stay on track.

- AI in Finance: AI is applied to personal finance applications like Mint or Turbo Tax, enhancing financial institutions. Other applications like IBM Watson apply AI to real estate transactions.

- AI in Legal Field: Sorting through legal documents can overwhelm humans. Automating this process saves time and increases efficiency. Startups are also developing virtual assistants for computers to ask and answer programmed questions. Moreover, they can filter programmed questions for answers by checking classifications.

- AI in Manufacturing Sector: This field leads in integrating robots into workflows. Industrial robots are used to perform individual tasks and have been separated from humans.

Discover the applications of artificial intelligence in daily life

4. Artificial Intelligence Applied in Life, Present, and Future

Artificial Intelligence (AI) finds numerous applications in our daily lives. Below are some examples of how AI is applied:

- Mobile Technology and Applications: Virtual assistants like Siri (Apple), Google Assistant, and Amazon Alexa use AI to understand and respond to user queries. AI is also used to suggest content, predict keywords while typing messages, and enhance user experience on mobile phones.

- Natural Language Processing (NLP): Applications like Google Translate or Google Translate use AI to translate different languages. Chatbots on websites and apps also use NLP to interact with customers.

- Virtual Assistants in Transactions: Chatbots on e-commerce websites can assist customers in searching for products, placing orders, and providing product information.

- Workflow Automation: Artificial Intelligence is utilized to automate repetitive tasks in the workplace, such as invoice processing, data management, and schedule tracking.

- Data Prediction and Analysis: AI is used to forecast trends in fields like finance, stock markets, weather, and consumer markets. It also has the ability to analyze big data to uncover important insights and hidden trends within the data.

- Machine Vision: Face recognition technology using AI has become popular in unlocking mobile phones, logging into accounts, and even in identifying criminals.

- Healthcare and Wellness: AI is employed for disease diagnosis, predicting patient health conditions, and analyzing medical images such as CT scans.

- Transportation and Autonomous Vehicles: Artificial Intelligence plays a crucial role in the development of autonomous vehicles and smart transportation systems to enhance traffic safety and efficiency.

- Manufacturing Industry: AI is utilized in the automation of manufacturing processes, product quality inspection, and production process optimization.

- Entertainment: Technology predicts user preferences based on browsing history and provides entertainment content recommendations such as movies, music, books, and more. Additionally, artificial intelligence technology is also applied by developers for photo editing, creating Anime images faster with just a few clicks.
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These are just some basic examples of how AI is applied in daily life. Artificial intelligence is becoming increasingly important and has a significant impact on many aspects of life and the economy.

This article by Mytour has just introduced you to AI - Artificial Intelligence, what it is, and its applications. You can download the Artificial Intelligence Handbook to delve deeper into this technology. If you have any contributions or questions that need answering, feel free to leave your comments below the article. Mytour will address your concerns as soon as possible.