Unlock the Seven Types of Artificial Intelligence You Should Know!
Table Of Content
Types of Artificial Intelligence: Purpose, Use Cases and More
What are the 7 Types of Artificial Intelligence?
Other Types of Artificial Intelligence Based on Technology
Become an AI Expert with Jaro Education
Final Thoughts
Frequently Asked Questions
Types of Artificial Intelligence: Purpose, Use Cases and More
Our understanding of Artificial Intelligence has evolved over the years, and data scientists are still at work to explore its scope. The study and implementation of the different types of Artificial Intelligence can be complex to understand. However, to understand its value, let’s take a look at its scope.
Source: medium.com
The types of Artificial Intelligence tools in businesses offer transformative potential in the decision-making process, with the goal of improving customer-centricity and long-term growth.
- Automation: The 7 types of artificial intelligence all help in one way or another to manage repetitive tasks. With Robotic Process Automation (RPA), AI frees up time spent here for big picture activities. Your team can focus on strategizing product design, marketing, sales, and overall growth. For example, with the best AI chatbots, customer service agents can focus only on the bigger issues while leaving the easy ones to automated responses.
- Data-Driven Decisions: AI helps gather, organize, analyze, and interpret large amounts of data about the market, competitors, and customers. Using predictive analytics models, you can understand the data and make informed decisions. For example, a retail e-commerce site uses different types of Artificial Intelligence to predict customer demands based on past trends and adjust supply accordingly.
- Operational Efficiency: AI can optimize workflow by understanding available resources and allocating them in the most efficient way. For example, AI can keep tabs on a machine’s working capabilities, warning the operator about maintenance before complete failure. This saves time.
- Personalization: The different types of Artificial Intelligence help analyze customer preferences and behavior. This way, businesses can deliver personalized services based on what customers want. Streaming platforms use recommendation algorithms to suggest content based on user history. This increases satisfaction.
- Increased Security: AI can identify cybersecurity threats in real-time, keeping business integrity intact. For example, financial companies use types of Artificial Intelligence to identify fraud and scams.
What are the 7 Types of Artificial Intelligence?
The seven types of Intelligence in AI can be categorized in a broad spectrum. From functionality and technology to degree of capability, this spectrum goes from basic types of Artificial Intelligence to highly advanced. Let’s dive deep into these 7 types of Artificial Intelligence and how they are used by various industries.
Source: javatpoint.com
Category: Functional Types of Artificial Intelligence
The seven types of artificial intelligence can be distinguished based on their uses and how they fit into organizational operations. Here’s how:
1. Reactive Machines
Reactive AI is a type of Artificial Intelligence that focuses on immediate responses. Here, past experiences or the idea of “memory” do not come into play. These systems can only perform limited and specific tasks but lack the ability to understand complex context or predict the future.
For example, Spotify uses reactive AI models to understand what the user is currently listening to (music, podcasts, books) and provide recommendations based on that. If the current listening style starts off with Bollywood, then this type of Artificial Intelligence will recommend more Bollywood playlists. But if the user switches over to another genre, like alt-pop, the immediate recommendations will also change to alt-pop playlists, with no memory of previous listening patterns.
2. Limited Memory
Limited Memory is a type of Artificial Intelligence that can look at past data to make informed decisions and create a short-term memory that does not get retained indefinitely. These Machine Learning models analyze patterns to make decisions but require continuous training and data to learn and improve.
For example, generative AI tools like ChatGPT and conversational AI tools like Alexa and Siri rely on limited memory and data to predict the solution to a question or problem.
3. Theory of Mind
This type of Artificial Intelligence provides space for the potential of AI tools to be more advanced, designed to understand human emotions, thoughts, and interactions. It aims to base AI responses on user emotions and intentions.
For example, health apps that detect anxiety in a person’s voice can offer ways to regulate breathing or call an emergency service. This type of AI is still in developmental phases but has the potential to make AI more intuitive and empathetic.
4. Self-Aware AI
Self-Aware AI is a hypothetical type of Artificial Intelligence that data scientists consider as the ultimate end goal for AI. It would have human-like attributes such as consciousness, emotions, and perception, but is not yet a reality.
While no self-aware AI models exist yet, generative AI tools like Alexa or Siri are steps towards humanizing AI. Ethical, legal, and technical frameworks are needed to make this a possibility in the future.
Category 2: Capabilities of the Types of Artificial Intelligence
AI can also be categorized based on the extent of its capabilities. Here are the three main types based on its capabilities:
5. Narrow AI
This type of AI, also known as “weak AI,” is designed to perform a specific task and lacks general intelligence. It excels in particular areas but cannot look beyond the task it is programmed for.
Examples include voice assistants like Siri, which follow a set of predefined commands, and AI tools in healthcare, such as MRI machines, which assist in detecting abnormalities.
6. General AI
General AI, also called Strong AI, would possess human-level understanding and reasoning with complex problem-solving abilities. While there are no specific use cases yet, General AI could perform a wide range of tasks and adapt to situations as needed.
7. Super AI
Super AI would surpass human capabilities and has the potential to revolutionize industries. However, strict regulations, ethical considerations, and human autonomy need to be established to ensure its safe development and use.
Other Types of Artificial Intelligence Based on Technology
Apart from the seven types of intelligence, there are AI classifications also based on technology. This includes:
1. Machine Learning
AI and ML are terms often used together because Machine Learning enables AI to process and interpret patterns in data. It equips AI to become more and more accurate with continuous data interpretation and lesser human intervention. For example, ML and this type of Artificial Intelligence can be vital in predictions in the stock market based on past data.
2. Deep Learning
Going one step further from Machine learning, this type of Artificial Intelligence uses neural networks to process huge chunks of data for more complex pattern recognition. This could include financial risk assessments and stock predictions at a grander level.
3. Natural Language Processing
NLP technology enables AI to understand and generate language, so any generative AI examples all work seamlessly with this technology. Chatbots, ChatGPT, Gemini, etc., are perfect use cases.
4. Computer Vision
This type of Artificial Intelligence uses visual cues, processes them and provides accurate information and predictions. For example, facial recognition technology could use computer vision and AI to read complex data and keep security intact.
Source: getronics.com
| Distinction | Type of Artificial Intelligence | Table DefinitionHeader | Example |
|---|---|---|---|
| Functionality | Reactive AI | Focuses on immediate responses without considering past memory and data | Self Aware |
| Limited Memory | Focuses on responses considering short term memory and data for decisions | Generative AI tools like ChatGPT, Gemini | |
| Theory of Mind | Hypothetical type where AI becomes human-like in processing information | Hypothetical type where AI becomes human-like in processing information | |
| Self Aware | Hypothetical type of Artificial Intelligence that is sentient | ||
| Technologies | Machine Learning | AI uses Machine Learning to understand complex data and reduce human dependency | Stock market predictions with past data |
| Deep Learning | Using neural networks to enable deep information processing | Used for large-scale financial risk assessment | |
| NLP | Helping AI understand language | Any generative or communicative AI | |
| Computer Vision | Using visual information for data interpretation | Security tools like facial recognition |
Become an AI Expert with Jaro Education
Learning the 7 types of Artificial Intelligence is the need of the hour for anyone in the computer, tech or data industry. Understanding how to improve its accuracy, predictions, and decision-making abilities can give you the much-needed career boost.
Jaro Education has exclusive collaborations with the best tech schools in the country like top IITs and IIMs to offer online certification courses on AI and ML. Apply through our portal and gain access to the country’s top universities as well as our career guidance services. We work with market data to understand what kinds of AI courses professionals need and partner with universities to bring them to you. Learn more here.
Final Thoughts
The seven types of artificial intelligence are continuously learning and adapting with improved technology to become better and more accurate every day. Continuous efforts to learn and grow with it can put both professionals and organizations ahead of the curve.
