Artificial intelligence is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision.
How does AI work?
As the hype around AI has accelerated, vendors have been scrambling to promote how their products and services use AI. Often what they refer to as AI is simply one component of AI, such as machine learning.
AI requires a foundation of specialized hardware and software for writing and training machine learning algorithms. No one programming language is synonymous with AI, but a few, including Python, R and Java, are popular.
In general, AI systems work by ingesting large amounts of labeled training data, analyzing the data for correlations and patterns, and using these patterns to make predictions about future states.
In this way, a chatbot that is fed examples of text chats can learn to produce lifelike exchanges with people, or an image recognition tool can learn to identify and describe objects in images by reviewing millions of examples.
AI programming focuses on three cognitive skills: learning, reasoning and self-correction.
Learning processes. This aspect of AI programming focuses on acquiring data and creating rules for how to turn the data into actionable information.
The rules, which are called algorithms, provide computing devices with step-by-step instructions for how to complete a specific task.
What Is AI?
Less than a decade after helping the Allied forces win World War II by breaking the Nazi encryption machine Enigma, mathematician Alan Turing changed history a second time with a simple question: “Can machines think?”
Turing’s 1950 paper “Computing Machinery and Intelligence” and its subsequent Turing Test established the fundamental goal and vision of AI.
At its core, AI is the branch of computer science that aims to answer Turing’s question in the affirmative. It is the endeavor to replicate or simulate human intelligence in machines.
The expansive goal of AI has given rise to many questions and debates. So much so that no singular definition of the field is universally accepted.
Artificial intelligence, and here we’re going to explore how AI actually works.
As part of this discussion, we’ll cover what artificial intelligence is, what fields or disciplines AI uses, what technologies are involved in AI operations, and how AI solutions are being applied in the modern economy.
After you’ve learned all about how AI really works, fill out our information request form to receive additional details about CSU Global’s 100% online Master’s Degree in Artificial Intelligence and Machine Learning, or if you’re ready to get started, submit your application today.
What Actually Is Artificial Intelligence?
Before we can explain how AI works, let’s first define what AI is:
Artificial Intelligence is a technology that allows machines and computer applications to mimic human intelligence, learning from experience via iterative processing and algorithmic training.
You can think of AI as being a form of intelligence that is used to solve problems, come up with solutions, answer questions, make predictions, or offer strategic suggestions.
Because AI can do all these things, it’s become incredibly important to modern businesses and other types of organizations.
What is AI Really Doing?
AI systems work by combining large sets of data with intelligent, iterative processing algorithms to learn from patterns and features in the data that they analyze.
Each time an AI system runs a round of data processing, it tests and measures its own performance and develops additional expertise.
Because AI never needs a break, it can run through hundreds, thousands, or even millions of tasks extremely quickly, learning a great deal in very little time, and becoming extremely capable at whatever it’s being trained to accomplish.
But the trick to understanding how AI truly works is understanding the idea that AI isn’t just a single computer program or application, but an entire discipline, or a science.
The goal of AI science is to build a computer system that is capable of modeling human behavior so that it can use human-like thinking processes to solve complex problems.
To accomplish this objective, AI systems utilize a whole series of techniques and processes, as well as a vast array of different technologies.
By looking at these techniques and technologies, we can begin to really understand what AI actually does, and thus, how it works, so let’s take a look at those next.
What Disciplines Make Up the Field of AI?
There are many different components to an AI system, which you can think of as sub-fields of the overarching science of artificial intelligence
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