"AI is not the science of building artificial people. It's not the science of understanding human intelligence. It's not even the science of trying to build artifacts that can imitate human behavior well enough to fool someone that the machine is human, as proposed in the famous Turing test…AI is the science of making machines do tasks that humans can do or try to do…you could argue…that much of computer science and engineering is included in this definition…that's probably right…(but) the field (of AI) focuses on the more complex things that people do"
--James F. Allen
Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you'll learn the basics of modern AI as well as some of the representative applications of AI. You will also learn about the numerous applications and huge possibilities in the field of AI, which continues to expand human capability beyond our imagination.
Artificial Intelligence is a branch of Science which deals with helping machines find solutions to complex problems in a more human-like fashion. This generally involves borrowing characteristics from human intelligence, and applying them as algorithms in a computer friendly way. A more or less flexible or efficient approach can be taken depending on the requirements established, which influences how artificial the intelligent behaviour appears.
Computers are fundamentally well suited to performing mechanical computations, using fixed programmed rules. This allows artificial machines to perform simple monotonous tasks efficiently and reliably, which humans are ill-suited to. For more complex problems, things get more difficult... Unlike humans, computers have trouble understanding specific situations, and adapting to new situations. Artificial Intelligence aims to improve machine behaviour in tackling such complex tasks.
Artificial Intelligence (AI) technology is increasingly prevalent in our everyday lives. It has uses in a variety of industries from gaming, journalism/media, to finance, as well as in the state-of-the-art research fields from robotics, medical diagnosis, and quantum science. In this course you'll learn the basics and applications of AI.
Some of the topics in Introduction to Artificial Intelligence will build on probability theory and linear algebra.