Artificial Intelligence: The Definition, Types, Applications, And Companies
Today, Artificial Intelligence is a word commonly used in many fields from voice assistants to self-driving cars. But companies like to use the term AI to explain even the simple analytics or functionalities. Today, we will like to talk about AI in a way that will help you understand what it is, how is it evolving, where is it being used, and who are the companies making use of AI. Let’s start with the definition.
Artificial Intelligence can be defined in the most simple terms as: “DescriptionIn computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.” Artificial Intelligence (AI) refers to the induction of human intelligence in computers which are engineered to think like humans and imitate their behavior. The word may also refer to any computer that displays human mind-like characteristics such as learning and problem-solving based on that learning.
All in all, AI is the technology that makes machines “think,” which essentially means it enables them to do tasks just like humans do. It is not just remembering data and processing it as common programs do. It is enabling machines to think on their own and make logical decisions about things just like humans do. The common technologies or algorithms that make AI possible are listed below. Anything that doesn’t use these high-level algorithms can’t be regarded as AI.
- Machine Learning
- Deep Learning
- Neural Networks
- Bayesian networks
- Evolutionary algorithms
The following can also be thought of as stages of AI through which AI is evolving and is hoped to evolve and finally reach the stage just like human intelligence. We discuss the three most common types of AI below.
1. Artificial Narrow Intelligence (ANI)
Artificial Narrow Intelligence (ANI), also known as Narrow AI or Weak AI, is a form of Artificial Intelligence that performs one narrow -range or a single task. It has a limited spectrum of capabilities. For now, this is the AI that exists largely today. A machine that possesses ANI doesn’t mean it is dumb, it just means it can work with a relatively small amount of data than humans do.
2. Artificial General Intelligence (AGI)
When the term AI is used, it generally refers to AGI. If an Artificial Intelligence system is designed to completely emulate human intelligence and behavior, it is called Artificial General Intelligence. Some scientists also like to call it Strong AI and Full AI. Simply put, it is the Artificial Intelligence System that can function fully and make similar decisions like humans.
3. Artificial Super Intelligence (ASI)
Artificial Super Intelligence (ASI) is the conceptual AI, often termed as Super AI, that not only imitates human intelligence and behavior. It is the stage where computers are self-conscious and exceed human intelligence and ability. In addition to replicating human beings’ multifaceted intellect, ASI potentially would be far stronger at everything we do like maths, science, art, sports, medicine, entertainment, interpersonal relationships, everything. Ultimately, super-intelligent beings’ decision-making and problem-solving capacities would be far superior to human beings.
The following are some of the major applications of AI developed and used in the current age.
1. Knowledge reasoning
Knowledge representation and reasoning in the field of artificial intelligence dedicated to representing information about the world in a form that a computer system can utilize to solve complex tasks. This application allows a computer to collect raw data as it is compiled in different companies, institutions, and centers. It then represents it in graphical forms to extract relations and patterns in the data. A machine then finally uses this data form to take further actions just like humans would do. The most common examples of knowledge reasoning are medical diagnose, human-like speech, or theorem provers.
2. AI Planning
Automated planning, commonly referred to as AI planning, is the application of AI that deals with producing concrete steps or course of action for a specified task that optimize overall performance measures. AI planning describes steps for a described system. These algorithms make use of the way humans perform a task and then, in a way, write code for machines to do the same. Common examples include robots and autonomous systems, cognitive assistants, and service composition.
Read Full Story at https://autome.me on February 18, 2020.