Artificial Intelligence: Basic AI Theory

Artificial Intelligence: Basic AI Theory

• Course Overview
• What Is Artificial Intelligence?
• Types of Intelligent Systems
• Importance of Data in AI Development
• History of AI
• Recent Breakthroughs in AI
• Popular Environments for AI Development
• Big Data as a Catalyst for AI Development
• Ethical Use of Big Data
• Reliability of Intelligent Systems
• Importance of Testing AI
• What Can Go Wrong with AI?
• Efficient Use of AI
• Course Summary

Artificial intelligence (AI) is transforming the way businesses and governments are developing and using information. This course offers an overview of AI, its history, and its use in real-world situations; prior knowledge of machine learning, neural network, and probabilistic approaches is recommended. There are multiple definitions of AI, but the most common view is that it is software which enables a machine to think and act like a human, and to think and act rationally. Because AI differs from plain programing, the programming language used will depend on the application. In this series of videos, you will be introduced to multiple tools and techniques used in AI development. Also discussed are important issues in its application, such as the ethics and reliability of its use. You will set up a programing environment for developing AI applications and learn the best approaches to developing AI, as well as common mistakes. Gain the ability to communicate the value AI can bring to businesses today, along with multiple areas where AI is already being used.

Artificial Intelligence: Types of Artificial Intelligence

Artificial Intelligence: Types of Artificial Intelligence

• discover the key concepts covered in this course
• compare multiple approaches to AI development to distinguish key differences between them
• define reactive and limited memory systems and describe reactive AI, limited memory AI, and a combination of both
• define artificial narrow intelligence, describe multiple areas of its use in the modern world, and recognize the latest research
• describe how using AI tools can enable even further breakthroughs in the fields of human health and environment and list examples of successful AI uses in agriculture, medicine, and philanthropy
• describe basic uses of AI in robotics and aviation and identify potential threats and possible advantages to using AI in military
• specify how use of big data gave rise to social and financial AI and list examples of successful use of AI in the government
• recognize state of the art AI research and identify opportunities for more advanced uses of AI
• define interaction machines using the concept of theory of mind and list opportunities for AI development in this area
• describe true research on self-aware AI and compare it with common views on the future of AI
• describe the possibilities provided by further research in AI and list areas in which ANI systems will supersede humans in the near future
• define general intelligence in terms of AI tools known today and recognize the amount of work needed to achieve any AGI
• compare artificial super intelligence with artificial general intelligence and specify the multiple factors needed to achieve them
• summarize the key concepts covered in this course

This course covers simple and complex types of AI (artificial intelligence) available in today’s market. In it, you will explore theories of mind research, self-aware AI, artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. First, learn the ways in which AI is used today in agriculture, medicine, by the military, in financial services, and by governments. As a special field of computer science that uses mathematics, statistics, cognitive and behavioral sciences, AI uses unique applications to perform actions based on data it uses as an input, and does so by mimicking the activity within the human brain. No data can be 100 percent accurate, bringing a certain degree of uncertainty to any kind of AI application. So this course seeks to explain how and why AI needs to be developed for a particular use scenario, helping you understand the many aspects involved in AI programming and how AI performance needs to be good enough to complete a certain task.