Applications of AI

Applications of AI

Artificial intelligence is a domain of computer science that deals with building intelligent systems that perform actions on human intelligence guidance. It is applied to various fields in today's world. It is considered essential since it saves time in solving complex problems with an efficient approach in various industries, such as healthcare, entertainment, finance, education, etc. Artificial intelligence, in fact, has made human lives more manageable, fast, and comfortable.

Some of the prevalent applications of Artificial intelligence are listed below:

• AI in Astronomy: Artificial intelligence plays a vital role in solving complex universe problems. Artificial intelligence technology has helped scientists understand the universe, like how it works, the origin, etc. 

• AI in Healthcare: Artificial intelligence has served the healthcare industry for a long time now. In the past decade, AI has emerged as a more valuable tool for the healthcare industry and will significantly hold this industry. The Healthcare industry applies artificial intelligence to make quicker and more accurate diagnoses than humans, which can have flaws. It also helps doctors diagnose the patients when they are sick and inform them when the condition worsens. This fetches medical help reach the patients before hospitalization. 

• AI in Gaming: Artificial intelligence is used in the gaming industry. The artificial intelligence systems can play strategic games such as chess, in which the machines have to think of a massive number of possible moves. 

• AI in Finance: Finance is closely associated with finance and makes the best match. The finance industry implements automation, chatbot, adaptive intelligence, algorithm trading, and machine learning in financial processes. 

• AI in Data Security: Data is the biggest asset in today's world. Security of data is very important for every industry since cyber attacks are proliferating in the digital world. Artificial intelligence is used to secure and save data in a better way. AEG bot, AI2 Platform are examples used to find software bugs and cyberattacks quickly and accurately. 

• AI in Social Media: Facebook, Twitter, Snapchat, and other such social media sites have billions of user-profiles that have to be stored and managed in a very efficient way. AI also organizes and manages vast amounts of data; it analyzes huge data sets to discover various users' latest trends, hashtags, and requirements. 

• AI in Transport Industry: Artificial intelligence has had a stronghold on the travel industry in recent years. It has created a high demand since it can perform different travel-related tasks such as making travel arrangements, suggesting hotels and stays, flights, and the best routes to the customers. TRavel industries use AI-designed chatbots that make human-like interactions with the customers to achieve better and faster responses. 

• AI in Automotive Industry: Automotive industries use artificial intelligence to provide virtual assistance to their customers for better performance. Tesla introduced TeslaBots, an intelligent virtual assistant. Various other companies are currently working on developing self-driven cars capable of making travel much safe and secure. 

• AI in Robotics: Robotics is tightly coupled with artificial intelligence since it plays a remarkable role in the industry. Generally, general robots are designed so that they are capable of performing some repetitive actions. With the help of artificial intelligence, the software expert can create an intelligent robot that can perform actions without human intervention, on the previous experiences without being pre-programmed to do so. The best example of artificial intelligence in robotics is Humanoid Robots. Erica and Sophia, the recently developed intelligent Humanoid robots, can talk and behave like humans. 

• AI in Entertainment: Software experts have built various artificial intelligence-based applications that are used in entertainment services such as Netflix and Amazon. These Amazon and Netflix services suggest various shows and programs to the users based on their preferences using machine learning and artificial intelligence algorithms. 

• AI in Agriculture: Agriculture sector is very vital and requires many resources such as labor, money, time, etc., for achieving the best results. In recent days, agriculture is also using digital means, and hence, artificial intelligence is emerging in this sector as well. AI has applied agriculture robots, solid and crop monitoring, predictive analysis in the agriculture sector. It has been beneficial to farmers to avoid loss and hugely benefitted them. 

• AI in E-commerce: Artificial intelligence provides a competitive edge to the e-commerce industry and is emerging as a more demanding tool in e-commerce businesses. For example, it helps the business customers discover associated products with size, color, and brand preferences in clothing. 

• AI in Education: Artificial intelligence automates grading, which helps the tutor and reduces the time invested on grading and that can be effectively used to teach. Intelligent chatbots can communicate with the students to teach them, clarify their doubts, help with assignments and required materials. It can work as a personal virtual tutor to students with advancements in technology in a short while now. This will enable students to study anytime and anywhere they want to be their personal teaching assistants. 

Artificial intelligence is categorized into two types. They are:

Based on Capabilities:

Weak AI or Narrow AI:

Narrow is an AI type that is capable of performing a dedicated action with intelligence. It is the most common and currently used type of AI in the world of artificial intelligence today. This type of AI cannot perform beyond its limitations since it is only trained to perform one single task and hence termed as weak AI. It fails in undetermined ways when it is forced to perform beyond its limits. Apple's Siri can be considered an example of a Narrow AI, but Siri operates with a limited pre-defined range of functions. IBM's Watson supercomputer is also a Narrow AI since it is using an Expert System technique encapsulated with machine learning and natural language processing. Chess, suggestions on e-commerce sites, self-driving cars, speech recognition, and image recognition are some examples of Narrow artificial intelligence. 

General AI: 

General artificial intelligence is an AI that performs intellectual actions with human-like efficiency. The primary purpose of general AI is to develop a system that can be smarter and think like a human brain on its own. There are currently o such systems available that can be categorized under general AI and can perform any operation as perfect as humans. Researchers and industry experts across the world are currently focused on developing systems with general AI. It might take a little while before such systems with high efficiency can be developed.

Super AI: 

Super AI systems are machines capable of surpassing human intelligence and can perform any assigned tasks more efficiently than humans with cognitive properties. It is an advanced outcome of general artificial intelligence. The key properties of a strong AI are the ability to think, reason, solve problems, make decisions, design, and plan, learn, and communicate. Although it is still a hypothetical concept, it can be achieved sooner with such technological development and benefit humans considerably.  

Based on Functionality 

Reactive Machines:

The most basic type of artificial intelligence is purely reactive machines. These systems do not store data or previous records for future references. These systems focus on present problems and react with the scenario's best possible operation. IBM's Deep Blue system and Google's AlphoGo are examples of reactive artificial systems. 

Limited Memory: 

Machines with limited memory can store previous records or data for a short while, and these systems use this stored data for a limited time for determined purposes. Self-driven cars are the best example of limited memory systems since the self-driven cars can store the recent speed of nearby cars, the distance of the other cars, speed limit, and other data to navigate the road. 

Theory of Mind: In AI, the theory of mind is a system capable of understanding human emotions, people, beliefs, and also capable of interacting socially as humans do. These systems are not in use, nor are they developed yet, but industry experts and researchers are putting efforts and ideas into developing such intelligent systems. 

Self-Awareness: 

Self-awareness artificial intelligent machines are the future of AI and related industries. These machines will be very intelligent, have their own understanding, sentiments, and self-awareness. These can be smarter than human intelligence. Although these machines do not exist in reality, it is possible to emerge in the future.

The free Applications of AI online certificate course offered to you by Great Learning will help you understand what AI is, the different fields that AI impacts, its future scope, and other related concepts. With the course, you will be able to understand the different technologies that use AI to operate in a better way more efficiently. You will also earn a certificate after completing the course successfully. Enroll in Great Learning's Artificial Intelligence course to earn a degree certificate online. Happy Learning!