Artificial intelligence has paved its way into several industries and areas today. From gaming to healthcare, the application of AI has increased immensely. Did you know that the Google Maps applications and facial recognition such as on the iPhone are all using AI technology to function? AI is all around us and is part of our daily lives more than we know it. If you wish to learn more about AI, you can take up the PGP Artificial Intelligence and Machine Learning Course offered by Great Learning. Here are a few applications of Artificial Intelligence.
Best Applications of Artificial Intelligence in 2020
Google’s AI-powered predictions (Google Maps)
Ride-sharing applications (Uber, Lyft)
AI Autopilot in Commercial Flights
Spam filters on Emails
Plagiarism checkers and tools
Smart personal assistants (Siri, Alexa)
Fraud protection and prevention
Now that we know these are the areas where AI is applied. Let us understand these in a more detailed way. Google has partnered with DeepMind to improve the accuracy of traffic predictions. With the help of historical traffic data as well as the live data, they can make accurate predictions through AI technology and machine learning algorithms. An intelligent personal assistant can perform tasks based on commands given by us. It is a software agent and can perform tasks such as sending messages, performing a google search, recording a voice note, chatbots, and more.
Goals of Artificial Intelligence
So far, you’ve seen what AI means, the different levels of AI, and its applications. But what are the goals of AI? What is the result that we aim to achieve through AI? The overall goal would be to allow machines and computers to learn and function intelligently. Some of the other goals of AI are as follows:
Problem-solving: Researchers developed algorithms that were able to imitate the step-by-step process that humans use while solving a puzzle. In the late 1980s and 1990s, research had reached a stage wherein methods had been developed to deal with incomplete or uncertain information. But for difficult problems, there is a need for enormous computational resources and memory power. Thus, the search for efficient problem-solving algorithms is one of the goals of artificial intelligence.
Knowledge representation: Machines are expected to solve problems that require extensive knowledge. Thus, knowledge representation is central to AI. Artificial intelligence represents objects, properties, events, cause and effect, and much more.
Planning: One of the goals of AI should be to set intelligent goals and achieve them. Being able to make predictions about how actions will impact change, and what are the choices available. An AI agent will need to assess its environment and accordingly make predictions. This is why planning is important and can be considered as a goal of AI.
Learning: One of the fundamental concepts of AI, machine learning, is the study of computer algorithms that continue to improve over time through experience. There are different types of ML. The commonly known types of are Unsupervised Machine Learning and Supervised Machine Learning. To learn more about these concepts, you can read our blog on what ML means and how it works.
Social Intelligence: Affective computing is essentially the study of systems that can interpret, recognize, and process human efforts. It is a confluence of computer science, psychology, and cognitive science. Social intelligence is another goal of AI as it is important to understand these fields before building algorithms.
Thus, the overall goal of AI is to create technologies that can incorporate the above goals and create an intelligent machine that can help us work efficiently, make decisions faster, and improve security.