Using math and logic, a computer system simulates the reasoning that humans use to learn from new information and make decisions.
An artificially intelligent computer system makes predictions or takes actions based on patterns in existing data and can then learn from its errors to increase its accuracy. A mature AI processes new information extremely quickly and accurately, which makes it useful for complex scenarios such as self-driving cars, image recognition programs, and virtual assistants.
How AI relates to machine learning
Machine learning is considered a subset of AI. Machine learning focuses on training machines to analyze and learn from data the way humans do. Therefore, machine learning is a technique that helps develop AI systems.
How AI relates to cognitive APIs
APIs application programming interfaces connect applications to other systems, services, or applications. When you use cognitive APIs, you’re requesting access to a library of domain-specific intelligent models.
How AI relates to data science
AI and data science both involve gathering, analyzing, and collecting large data sets but they have different goals. AI focuses on how computers can make decisions based on data. Data science, on the other hand, focuses on the use of mathematics, statistics, and machine learning to extract insights from data.
How AI relates to robotics
A robot typically has both a physical form and the software that controls it. Robots that are controlled by AI software move autonomously they don’t need direct instruction from a human. But not all robots are controlled by AI, and not all AI requires a physical form.
Types of artificial intelligence
Artificial narrow intelligence (Narrow AI)
Artificial narrow intelligence sometimes called “weak AI” refers to the ability of a computer system to perform a narrowly defined task better than a human can.
Narrow AI is the highest level of AI development that humanity has reached so far, and every example of AI that you see in the real world falls into this category including autonomous vehicles and personal digital assistants. That’s because even when it seems like AI is thinking for itself in real-time, it’s actually coordinating several narrow processes and making decisions within a pre-determined framework. The AI’s “thinking” doesn’t involve consciousness or emotion.
Artificial general intelligence (General AI)
Artificial general intelligence sometimes called “strong AI” or “human-level AI” refers to the ability of a computer system to outperform humans in any intellectual task. It’s the type of AI that you see in movies where robots have conscious thoughts and act on their own motives.
In theory, a computer system that has achieved general AI would be able to solve deeply complex problems, apply judgment in uncertain situations, and incorporate prior knowledge into its current reasoning. It would be capable of creativity and imagination on par with humans and could take on a far wider range of tasks than narrow AI.
Artificial superintelligence (ASI)
A computer system that has achieved artificial superintelligence would have the ability to outperform humans in almost every field, including scientific creativity, general wisdom, and social skills.
Examples of artificial intelligence
Businesses around the world already use AI in a wide variety of applications, and intelligent technology is a growing field. Here are some examples of AI in action today: