By Naaziyah IsmailWed. 07 Feb. 20243min Read

5 Main Types of Artificial Intelligence

There are 5 main types of artificial intelligence. Learn about the five main types of artificial intelligence and how they are utilized in different applications.
5 Main Types of Artificial Intelligence

Artificial Intelligence (AI) stands at the forefront, revolutionizing how we interact with technology daily. AI has become an indispensable part of the digital landscape, from the smart assistants in our homes to the sophisticated algorithms that power our favorite online platforms.

But what exactly constitutes AI, and how does it manifest in the tools we use every day, such as PDF Reader Pro?

Naaziyah Ismail
Blog Author - B2B SaaS Content Writer
Naaziyah has written many tutorials on apps and software such as, Jira, Asana, Trello, and PDF Reader Pro. She excels at engagingly simplifying complex processes.

5 Main Types of Artificial Intelligence

Artificial Intelligence (AI) encompasses various technologies and techniques that enable machines to simulate human intelligence. Here are the five main types of AI, categorized based on capabilities and functionalities:

1. Reactive Machines

Description: These are the simplest types of AI systems that react to inputs without storing memories or past experiences to influence decisions. They focus solely on current scenarios and perform a specific task.



Example: IBM’s Deep Blue, which defeated chess grandmaster Garry Kasparov, operates solely by analyzing possible moves—it cannot learn from past games.

2. Limited Memory

Description: These AI systems can store previous data and predictions, learning from history to make better predictions or decisions in the future. They use this data temporarily and update it as they gather more information.



Example: Self-driving cars that adjust their actions based on the dynamic data they continuously collect, such as the speed of nearby vehicles, distances, and other real-time navigational data.

3. Theory of Mind

Description: This is a more advanced class of AI that researchers are actively developing, which refers to systems that understand human emotions, beliefs, thoughts, and expectations. These AIs can better interact with humans by understanding these aspects.



Example: While fully functional Theory of Mind AI has not yet been achieved, experimental robots and systems designed to interact with humans emotionally, like advanced chatbots or virtual healthcare assistants, are stepping stones towards this type.

4. Advanced Machine Learning (AML)

Description: Advanced Machine Learning refers to the next level of machine learning models that incorporate deep learning and neural networks to process complex data with greater accuracy and efficiency. These models excel at identifying patterns and making predictions from large datasets beyond traditional algorithms.



Example: Real-world applications of AML include sophisticated natural language processing tools like the latest GPT models from OpenAI, which understand and generate human-like text. Other examples are advanced image recognition systems used in autonomous vehicles that accurately detect and respond to dynamic road conditions.

"Before discovering PDF Reader Pro, I was merely grazing the surface of PDF tool capabilities. Now, I've achieved complete command over my documents, experiencing document management on an entirely new level."
Theodore Cipolla
B2B SaaS Content Marketer
Source: LinkedIn

5. Artificial Narrow Intelligence (ANI)

Description: Also known as Weak AI, this type of AI is specialized in one area and can perform tasks better than humans but only in its narrowly defined field.



Example: Most existing AI systems, such as language translation apps, recommendation systems like those on Netflix or Amazon, and customer service chatbots, fall into this category.

Check out the list of AI software that helps with writing!

How AI Impacts Our Daily Lives

Each type of Artificial Intelligence (AI) has specific applications that impact different aspects of daily life. Here’s how each type contributes to our everyday experiences:

1. Reactive Machines

Daily Life Impact: Reactive machines are often used in gaming and basic customer service applications. For instance, AI in games like chess or non-player characters in video games that react to player actions without changing their strategies based on past interactions. In customer service, they can handle routine inquiries without adapting to the context beyond the current interaction.

2. Limited Memory AI

Daily Life Impact: This type of AI enhances experiences with applications like personal digital assistants and navigation apps. For example, voice assistants like Siri and Alexa learn from your previous commands to better predict and respond to your needs. Navigation apps use real-time traffic data and past trip information to optimize route suggestions.

3. Theory of Mind AI

Daily Life Impact: Although still in development, this AI aims to better understand and interact with humans emotionally, which would be revolutionary in healthcare and social services. For instance, AI in therapeutic bots could one day recognize emotional cues from patients to provide better support, or in customer service, they could understand customer moods and react more empathetically.

4. Advanced Machine Learning (AML)

Daily Life Impact: AML powers more complex decision-making tools used in financial services for fraud detection systems and in healthcare for more accurate diagnosis systems. These applications learn from vast amounts of data to identify patterns that might be too complex for human analysts or traditional computing methods.

5. Artificial Narrow Intelligence (ANI)

Daily Life Impact: ANI is the most commonly experienced type of AI daily. It's in recommendation systems used by streaming services like Netflix or e-commerce platforms like Amazon, suggesting movies or products based on your past behavior. Similarly, spam filters that keep unwanted emails out of your inbox are another practical application of ANI.

How to Use PDF Reader Pro's AI

Step 1: Initiate Document Upload

Simply drag and drop your file, or use the upload button to select your document.

PDF Reader Pro  Ai feature

Image Source: PDF Reader Pro

Step 2: Engage with AI for Document Insights

Once your document is uploaded, engage with our AI assistant to inquire about your document's details or request services such as brief summaries and beyond.

PDF Reader Pro AI

Image Source: PDF Reader Pro

The AI Summarize feature in PDF Reader Pro significantly enhances my productivity by quickly condensing long documents into concise summaries, allowing me to grasp key concepts without reading the entire text.

This feature is incredibly helpful for efficiently reviewing large volumes of information, which is crucial in my work as a content writer.

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Additionally, the annotation tools in PDF Reader Pro enable me to mark important details, add notes, and highlight sections directly on the PDF, making it easy to reference key points and organize my thoughts during the writing and editing process.

Main Artificial Intelligence: FAQ

"PDF Reader Pro is an amazing tool for individuals and for business. It's annotation and editing help me with my daily tasks and allows for collaboration amongst my team and I."
Naaziyah Ismail
B2B SaaS Content Writer
Source: LinkedIn

What are the applications of AI?

AI applications include various domains such as healthcare (for diagnosing diseases), finance (for credit scoring and algorithmic trading), autonomous vehicles (such as drones and self-driving cars), customer service (through chatbots), and many more. It's also used extensively in education, manufacturing, and logistics sectors.

What are the benefits of AI?

The primary benefits of AI are its ability to process information and provide insights that are beyond human capabilities. AI can analyze big data faster and more accurately, improving efficiency, automating tasks, personalizing experiences, enhancing decision-making, and solving complex problems.

What are the risks of AI?

Potential risks include privacy issues, unemployment due to automation, and the ethical implications of AI decisions. Advanced AI systems might also develop behaviors that are unintended by their creators. Ensuring that AI systems do what they are supposed to do without unintended consequences is a significant challenge in AI development.

How is AI regulated?

AI regulation is still an emerging area, and there is significant debate about how much and what type of regulation is appropriate. Some countries have started developing guidelines and frameworks to manage the development and deployment of AI technologies to ensure safety, transparency, and fairness.

What is the future of AI?

The future of AI is seen as highly influential, potentially ushering in a new era of industry and human capability. Ongoing advancements in AI technologies are expected to continue, leading to more sophisticated and integrated systems capable of more autonomously functioning applications.

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