The document discusses human intelligence and artificial intelligence (AI). It defines human intelligence as comprising abilities such as learning, understanding language, perceiving, reasoning, and feeling. AI is defined as the science and engineering of making machines intelligent, especially computer programs. It involves developing systems that exhibit traits associated with human intelligence such as reasoning, learning, interacting with the environment, and problem solving. The document outlines the history of AI and discusses approaches to developing systems that think like humans or rationally. It also covers applications of AI such as natural language processing, expert systems, robotics, and more.

Know Everything About Artificial Intelligence AI involves machine learning, deep learning and many other programmable capabilities. Let’s know all about the AI. What is AI: AI is intelligence exhibited by machines AI systems seek to process or respond to data in human-like ways. AI can be seen at: 1. Marketing- Here AI analyze buyer’s behavior and provide best products & deals to them. 2. Predictive systems- These AI are made to look at statistical data and form valuable conclusions. 3. Editing Softwares- Here AIs suggest the ways that can be used to make pictures and texts more attractive. 4. Research- Research AI search through complex documents and studies for specific information at the speed higher than Google’s search engine. How safe are they: • Artificial intelligence right now don’t have ability to make truly independent decisions • They can’t do anything beyond the instructions provided to them • But, the predictions through AI can be inaccurate & that can be dangerous Future of AI: • We can see the rapid adoption of AI tricks in every field of tech. • Once quantum computers become more viable, AIs will have access to unprecedented processing power and human-like AIs will become more viable. • There are various apps & softwares that can be improved with the help of AI

This document is a presentation on artificial intelligence. It begins with a definition of AI and discusses its foundations. It then covers information and applications of AI, its growth, top AI countries including the US, India, and China, and the robot Sophia. The presentation also outlines advantages such as error reduction and difficult exploration, as well as disadvantages including high costs and lack of improvement with experience. It concludes with a bibliography of sources.

This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.

This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines two categories of AI methods - symbolic AI and computational intelligence - and discusses applications of AI in domains like finance, medicine, gaming, and robotics. It also notes some achievements of AI and predicts that AI will continue growing exponentially and potentially change the world.

This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.

This document provides information about artificial intelligence and machine learning. It defines artificial intelligence as the field of computer science focused on developing intelligent machines. It discusses different types of AI like narrow AI, general AI, and artificial neural networks. Examples of applications of AI like IBM Watson and driverless cars are provided. Key components of AI like data, computer vision, and natural language processing are explained. The differences between machine learning and deep learning are summarized.

The document discusses artificial intelligence, including its history, applications, and languages. It provides an overview of AI, noting that it aims to recreate human intelligence through machine learning and problem solving. The document then covers key topics like the philosophy of AI, limits on machine intelligence, and comparisons between human and artificial brains. It also gives brief histories of AI and machine learning. The document concludes by discussing popular AI programming languages like Lisp and Prolog, as well as various applications of AI technologies.

The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.