Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
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 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.
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
Title: Incredible developments in Artificial intelligence which was the future scenario.
Here I discussed the with the major backbones of AI (Machine learning, Neural networks) types Machine learning and type of Artificial intelligence and with some real-time examples of AI and ML & Benefits and Future of AI with some pros and Cons of Artificial Intelligence.
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 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.
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. AI can perform tasks like humans or even better than humans through activities like speech recognition, decision making, and translation. There are two main categories of AI: narrow AI, which is dedicated to a specific task, and strong/general AI, which does not currently exist but is being researched to allow machines to think like humans through their own intelligence and self-awareness. AI has many applications across industries like healthcare, transportation, education, and more. The evolution of AI began in the 1940s and important milestones include the invention of the Turing test in 1950, the development of machine learning in the 1950
Artificial intelligence (AI) is the study and creation of intelligent machines and software. The document discusses the history and goals of AI, including how it was founded in the 1950s and experienced periods of increased and decreased funding. It also covers what intelligence is, definitions of artificial intelligence, tools and applications of AI in various industries, as well as the pros and cons of AI technology.
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.
The document discusses artificial intelligence (AI), defining it as the ability of computers to think and learn like humans. It provides a brief history of AI, describing its current uses in technologies like mobile phones, video games, voice recognition, and robotics. The future of AI is discussed, suggesting uses like self-driving cars, improved medical facilities and customer service. Both pros and cons of AI are outlined, such as its precision but lack of creativity. In conclusion, AI is defined as the intelligence of machines and the goal of designing intelligent agents.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
This document provides an overview of artificial intelligence (AI), including its history, categories, branches, applications, and tools. It discusses how AI has evolved through different generations of computing. Key topics covered include expert systems, neural networks, programming languages used in AI, the American Association for Artificial Intelligence (AAAI), and perspectives on AI's future potential impacts and applications.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence (AI) is the study and creation of intelligent machines and software. The document discusses the history and goals of AI, including how it was founded in the 1950s and experienced periods of increased and decreased funding. It also covers what intelligence is, definitions of artificial intelligence, tools and applications of AI in various industries, as well as the pros and cons of AI technology.
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.
The document discusses artificial intelligence (AI), defining it as the ability of computers to think and learn like humans. It provides a brief history of AI, describing its current uses in technologies like mobile phones, video games, voice recognition, and robotics. The future of AI is discussed, suggesting uses like self-driving cars, improved medical facilities and customer service. Both pros and cons of AI are outlined, such as its precision but lack of creativity. In conclusion, AI is defined as the intelligence of machines and the goal of designing intelligent agents.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
This document discusses artificial intelligence and its applications. It defines AI as the science and engineering of making intelligent machines. It then lists some pros and cons of AI, such as it helping with laborious tasks but also the risk of robots superseding humans. The document also outlines different types of AI like game playing, speech recognition, computer vision, and expert systems. It notes applications of AI in areas like surgery simulators and fraud detection. The document concludes with some quotes expressing concerns about the development of advanced AI and the need for regulatory oversight to avoid potential risks.
This document provides an introduction to artificial intelligence (AI) including definitions, goals, branches, and applications. It defines AI as computers with the ability to mimic human intelligence through learning from experience and handling complex problems. The main goals of AI are to better understand human intelligence by writing programs that emulate it and to create useful programs to do tasks normally requiring human experts. Branches of AI discussed include vision systems, learning systems, robotics, expert systems, and neural networks. The document also outlines some present and future aspects of AI as well as ethics and risks.
The document provides a history of artificial intelligence, key figures in AI development, and examples of modern AI technologies. It discusses how the idea of AI originated in ancient Greece and how Alan Turing introduced the Turing test in 1937. Examples of modern AI include Sophia, a humanoid robot created by Hanson Robotics, and Rashmi, an Indian humanoid robot that can speak three languages. The document outlines advances in AI and its applications in fields such as military technology, space exploration, healthcare, and more.
The document provides an overview of artificial intelligence (AI), including:
- Definitions of AI and a brief history of the field from early computers through modern machine learning advances.
- Descriptions of how AI works using artificial neural networks and logic-based systems, as well as examples like expert systems and current applications in areas such as personal assistants, robotics, and computer vision.
- A discussion of the current status and future potential of AI, along with challenges for developing true human-level intelligence and comparisons between human and artificial forms of intelligence.
This presitation include
INTRODUCTION TO (AI)
EXAMPLES OF (AI)
Types of (AI)
RISE OF (AI)
FUTURE OF (AI)
Advantages /Disadvantages OF (AI)
How safe is (AI)
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
This document provides an overview of artificial intelligence, including its branches and fields of application. It discusses how AI aims to create intelligent machines through approaches like symbolic and statistical AI. The document also outlines key differences between human and artificial intelligence, noting that AI is non-creative, consistent, precise, and able to multitask, while humans are more creative but can contain errors or inconsistencies. It concludes by stating that combining knowledge from different fields including computer science, mathematics, psychology and more will benefit progress in creating intelligent artificial beings.
Artificial intelligence refers to machines performing tasks that normally require human intelligence, such as recognizing speech, making decisions, and learning from experience. The field of AI was founded in 1956 and has experienced periods of intense research and reduced interest. John McCarthy is considered the father of AI for coining the term. There are several types of AI including machine learning, neural networks, expert systems, computer vision, and natural language processing. AI has many applications across industries like healthcare, finance, and transportation but also faces challenges regarding data privacy, bias, and limitations.
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial intelligence (AI) is the ability of digital computers or robots to perform tasks commonly associated with intelligent beings. The idea of AI has its origins in ancient Greece but the field began in the 1950s. Today, AI is used in applications like IBM's Watson, driverless cars, automated assembly lines, surgical robots, and traffic control systems. The future of AI depends on whether researchers can achieve human-level or superhuman intelligence through techniques like whole brain emulation. Critics argue key challenges remain in replicating general human intelligence and consciousness with technology.
This document provides an overview of artificial intelligence (AI), including its history, categories, branches, applications, and tools. It discusses how AI has evolved through different generations of computing. Key topics covered include expert systems, neural networks, programming languages used in AI, the American Association for Artificial Intelligence (AAAI), and perspectives on AI's future potential impacts and applications.
Artificial intelligence dr bhanu ppt 13 09-2020BhanuSagar3
The document discusses a webinar on using artificial intelligence to advance pharmacy and healthcare in India. It will take place on September 13, 2020 from 2-3 pm, hosted by Prof. Bhanu P. S. Sagar. The webinar will cover the history of medical innovations using AI, how AI is applied in various fields like natural language processing and machine learning. It will also discuss the advantages of AI, such as reducing errors and facilitating difficult tasks. The types and applications of AI technology in the pharmaceutical industry will also be presented.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence is mimicking human cognitive abilities through machine learning and big data. It is currently being applied in many areas like computer vision, speech recognition, and robotics. While current AI is narrow, focused on specific tasks, the future may bring more general strong AI with human-level cognition. AI is impacting society positively by improving efficiency, creating new jobs, enhancing lifestyle through applications like smart homes, and improving access to healthcare through technologies like telemedicine.
Artificial intelligence (AI) broadly refers to any human-like behavior displayed by a machine or system. AI has progressed from enabling computers to play games like checkers against humans to now being part of our daily lives through solutions in areas like healthcare, manufacturing, financial services, and entertainment. HPE is pioneering AI by harnessing data and gaining insights at the edge to help customers realize the value of their data faster and leverage opportunities for innovation, growth, and success. A brief history of AI discusses its early development in the 1950s and milestones like defeating chess masters and developing speech recognition.
The A_Z of Artificial Intelligence Types and Principles_1687569150.pdfssuseredfe14
This document provides an overview of various types and principles of artificial intelligence. It contains 27 different types of AI categorized alphabetically from A to Z. For each type, it provides a brief 1-2 sentence definition of what the type is and potential applications. The types covered include ambient AI, adaptive AI, Bayesian AI, big data AI, conversational AI, creative AI, deep learning, and others. It aims to be an introductory guide to the different areas and techniques within the field of artificial intelligence.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxhealdkathaleen
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
NEURAL NETWORKING:
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make their task much easier.
KEYWORDS
Artificial Intelligence Technology, Internationa ...
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
The document discusses artificial intelligence (AI) and its applications. It defines AI as the ability of computers to perform tasks usually requiring human intelligence. John McCarthy is identified as the father of AI, coining the term in 1955. AI is classified based on functionality into reactive machines, limited theory, theory of mind, and self-aware AI, and based on capabilities into artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. The document then outlines several applications of AI in areas such as e-commerce, education, lifestyle, navigation, robotics, human resources, healthcare, agriculture, gaming, automobiles, and social media. Finally, it lists the top 10 AI companies.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. The history of AI began in 1956 when the term was coined and the first conference was held. Notable developments include the first mobile robot in 1969, a chess-playing computer defeating a champion in 1997, and today's applications in areas like speech recognition, robotics, healthcare, and more. AI can be categorized into narrow, general, and super AI based on its capabilities. It provides advantages like more powerful computers and new problem-solving techniques but also faces challenges such as high costs and an inability to duplicate human creativity.
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.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtificiMalikPinckney86
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the ...
Running Head ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMSArtifici.docxtoddr4
Running Head: ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEMS
Artificial Intelligence and Expert System
Artificial Intelligence and Expert systems
ABSTRACT:
· What is artificial intelligence?
· Characteristics of AI
· The field of AI
· How the AI field evolved
· What is Expert System?
KEYWORDS:
· Artificial intelligence Technology
· International Technology Transfers
· Expert Systems
· Applied Artificial Intelligence Human Experts
INTRODUCTION:
· AI to Predict and Adapt
· Making Decisions
· Continuous Learning
· Capability of Motion and Perception
OVERVIEW OF APPLIED ARTIFICIAL INTELLIGENCE:
· Natural language processing
· Robotics
· Computer vision
· Speech Recognition
· Machine learning
EXPERIMENT:
APPLICATIONS OF EXPERT SYSTEMS:
· Troubleshooting and Diagnosis
· Financial decision making
· Knowledge Publishing
· Design and Manufacturing
EXPERT SYSTEMS IN ORGANISATION:
BENEFITS AND LIMITATIONS OF AI ALONG WITH EXPERT SYSTEMS:
LIMITATIONS OF EXPERT SYSTEMS:
NEURAL NETWORKING:
· Artificial neural networking
· Training Data
Artificial Intelligence and Expert Systems
Sapana Dahal
CSCI 303
Texas A& M University Commerce
Artificial Intelligence (AI) in the current technological crazed world has been on the center stage. AI has commendable gained notable popularity and visibility that is very string in the public domain, business community, Educations and various other special fields. Now the most successful business in the world have not hesitated to fully take advantage of AI to better their products, through presented AI to the consumer in a cheaper state. This is the example Amazon Alexa AI, Apples Siri AI and Microsoft’s Cortana (Kaplan & Haenlein 2019). These are aperfect example of the use of AI to make things easier for the consumer, all these considered to be “personal assistants. Expert Systems (ES) on the other hand are a dominant filed in AI, basically the largest field in AI currently, this is because it offers scientific, commercial and military application of AI. This paper is aimed at looking at and explaining the AI concepts and ES applications that have been able to make the life of every individual in different field easier. Like ROSS the Ai attorney, or the Dendral expert system in medicine. The Implementation of AI technology cannot be ignored in our daily lives cannot be ignored because of the impact that such a technology is bringing to our world. Never have machines been able to mimic the human brain and be able to tackles decision making or problem-solving instance as better or just as the human brain. These aspects have caused a major quagmire of mixed feelings. Mainly because the AI and ESs will make our lives easier bhut at the same time it will step in the place of human experts that will mean they will be replaced. The paper clearly discusses on this fact on how the ESs and Ai are not here to replace the Human experts, especially the white-collar jobs but only to make the.
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4. ARTIFICIAL INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
Intelligence: “The capacity to learn and solve problems”
Artificial Intelligence: Artificial intelligence (AI) is the
simulation of human intelligence by machines.
• The ability to solve problems
• The ability to act rationally
• The ability to act like humans
5. • The artificial intelligence term was used in the year 1956, and the
concept was used from the year 1950, under the topics of problem
solving and symbolic methods.
• Artificial Intelligence is the branch of engineering & computer
science which deals with making of intelligent machines or systems
that can function intelligently and independently, especially intelligent
computer programs.
• Artificial Intelligence is the ability of a computer or a robotic
computer enabled system to process the given information and
produce outcomes in a manner similar to the attention process of
humans in learning, decision making, reasoning, self-correction and
solving problems. Artificial intelligence is becomes an essential part of
the technology industry. Research associated with artificial
intelligence is highly technical and specialized.
6. Year Milestone
1943 Neurons can do logical operations like “and”, “or” or “not”, when they
are connected as a network. This process was proved by Walter Pitts and
Warren McCulloch.
1951 First neuronal network, which solved a problem from the real world i.e.
SNARC (Stochastic Neural Analog, Reinforcement Computer) was by
Marvin Minsky.
1956 At Dartmouth college conference the term “Artificial Intelligence” was
coined.
1958 Perceptrons (neuronal networks that transmit information in one
direction) was created by the Frank Rosenblatt which is the origin for
todays AI progress.
1969 Minsky supported the symbolic representation of problems in his book -
“Perceptrons”.
Mile stones in the artificial intelligence process
7. Year Milestone
1974 -
1980
During this period, interest on AI was dropped, which is called as
“First AI Winter”.
1986 Back propagation algorithm design was developed by Georey Hinton
which is widely using in deep learning nowadays.
1987 -
1993
This phase is called as “AI winter”
1997 This year IBM Deep blue defeated the Garry Kasparov (Russian
grandmaster).
2013 Google used the British technology to perform efficient research on
photos.
2016 Google DeepMind, software AlphaGo defeated the Go Champion Lee
Sedol.
2016 Humanoid robot developed by Hong Kong based company Hanson
Robotics Sophia was activated on February 14, 2016
9. EARLY HISTORY
OF A.I.
1950 : “CAN MACHINES
THINK??????”
1956 : THE TERM
“ARTIFICIALINTELLIGENCE”
WAS FIRST INTRODUCED.
10. • Analyse Satellite
Images to identify
which areas have the
highest poverty level
• Gate allocationfor
plane while landing
• Tickt price
determination
• Companies are
creating robots to
teach subjects
A.I. FOR GOOD AVIATION EDUCATION
11. • Solving a variety of
problems of patients,
hospitals & healthcare
industry overall.
• Using Avatars in place of
patients.
• Robots have become
very common in many
industries
• Can do repetitive
laborious tasks
• Algorithmic Trading
• Market analysis &
data mining
• Personal Finance
• Portfolio management
HEALTH CARE HEAVY INDUSTRY FINANCE
12. • To develop algorithms that human use.
• Algorithms can require enormous
computational resources and problem
goes beyond a certain size
• Knowledge Representation :
To build machine with the capability
of making working assumption and
common sense.
13. • Planning :
In classical planning problems, the agent can
assume that it is the only system acting on the
world
Multi-agent planning uses the cooperation and
competition of many agents to achieve the
given goal.
• Learning :
Machine learning is the fundamental concept
of AI search.
Unsupervised learning is the ability to find
patterns in s stream of input
Supervised learning includes both
classification and numerical regression
14. To understand what artificial intelligence is, we need to know
how it works and what are the Subfields and components that make
machines work intelligently.
Speech Recognition
Humans can speak and listen to communicate through language; this is
the field of speech recognition. Since speech recognition is statistically
based, hence it’s called statistical learning.
Natural Language Processing
Humans can write and read the text in a language; this is the field of
NLP or natural language processing.
Working, Subfields and Components
15. Machine Vision
Humans can see with their eyes and process what they see; this is the
field of computer vision. Computer vision falls under the symbolic
way for computers to process information.
Moreover, they can recognize the surroundings around them
through their eyes which create images of that world. This field of
image processing which even though is not directly related to AI is
required for computer vision.
Robotics
Humans can understand their environment and move around
fluidly; this is the field of robotics.
Pattern Recognition
Humans can see patterns such as grouping of like objects; this is the
field of pattern recognition. Machines are even better at pattern
recognition because they can use more data and dimensions of data,
this is the field of machine learning.
16. Types of artificial intelligence:-
Artificial Intelligence is a wide-ranging concept and can be classified
into a number of ways. Based upon their caliber:-
1. Weak intelligence or Artificial narrow intelligence (ANI): This
system is designed and trained to perform a narrow task, such as facial
recognition, driving a car, playing chess, traffic signaling.
E.g.: Apple SIRI virtual personal assistance, tagging in social media.
2. Artificial General Intelligence (AGI) or Strong AI : It is also
called as Human Level AI. It has the ability to simplify human
intellectual abilities. Due to this, when it exposed to an unfamiliar task,
it has the ability to find the solution. AGI can perform all the things as
humans.
3. Artificial Super intelligence (ASI): It is a brain power, which is
more active than smart humans drawing, mathematics, space, etc; in
each and every field from science to art. It ranges from the computer
just little than the human to trillion times smarter than humans.
20. Drug discovery process
Health support and medication assistance
Attainment of in person and online consultation
Helping in repetitive jobs
Maintaining of medical records
Accuracy of medicine
Diagnostic and imaging sector
Competition & prizes
Automotive
Finance &Economics
Video games
Applications of Artificial Intelligence:
21. Health care application Representative company
AI Technology platform Key benefits
Analytics 4 life is pioneering digital
health using AI to develop a completely
new form of medical imaging. With an
initial focus on coronary artery disease
(CAD). It is a novel radiation free and
exercise free cardiac imaging
technology.
Physicians can noninvasively assess
the presence of significant CAD in a
single office visit without radiation,
exercise or pharmacological stressors
using physiologic signals naturally
emitted by the body.
By using this platform to cardiac phase
space tomography analysis (cPSTA) data
and paired coronary angiography results
it developed its initial product focused
on CAD.
Delivers an improved diagnostic solution
previously available only through
invasive, expensive tests providing
immediate and measurable benefits to
patients, payers and providers.
Intelligent diagnostics
22. Health care application Representative company
AI Technology platform Key benefits
It offers a machine intelligence software
platform, Topological data analysis
(TDA), that enables organizations to
analyze and build predictive models
using big data or highly dimensional data
sets.
It allow healthcare providers and
pharmaceutical companies to
automatically stratify complex data
and uncover relationships to optimize
patent care paths., procedures and
protocols for personalized medicine
leading to faster and more effective
outcomes.
The TDA platform draws on a range of
machine learning statistical and genomic
algorithms to combine and synthesize
them in accordance with the data.
Patient and provider data base
23. Health care application Representative company
AI Technology platform Key benefits
It uses it's advanced proprietary AI that
can be applied to manage publicly and
privately available noisy data.
Helps uncover valuable biology not
easily translated by the traditional
approaches enabling faster lead design
and candidate identification while
reducing development costs and
attrition rates.
It developed a technology that can
model most important absorption,
distribution, metabolism and excretion
properties in the drug development
process
Drug discovery process with
advanced analytics
24. Health care application Representative company
AI Technology platform Key benefits
It developed robotic assisted surgical
products with a platform that includes
advanced imaging, robotics, big data
management and machine learning to
provide advanced surgical tools and
capabilities to surgeons.
Expected to be only 20% the size of
and considerably less expensive than
current systems, while improving quality
of precision and patient outcomes
significantly.
Focus on improving and standardizing
the outcomes in challenging procedures
such as thoracic lobectomy, gastrectomy
and low anterior resection.
Medical devices and robotics
25. Health care application Representative company
AI Technology platform Key benefits
It uses AI to contextualize data
regarding a patient’s health status and
self management behavior to provide
early detection of potentially harmful
health events.
Significantly impacts health care
quality and cost by improving self-
management and enabling proactive
interventions.
At the core of Ibis platform lies Scio, an
AI brain which allows complex health
management via a continuous five-step
AI process including observation,
learning, discovering, anticipating and
prompting
With this system, upto 80% comply
with their care plan versus a control
50% norm.
Significantly reduces acute care
utilization.
Home health using A. I.
27. Error Reduction - Artificial Intelligence helps human beings to reduce the error
and increases the chance of reaching accuracy with more precision.
Daily Application - Artificial Intelligence is useful for the daily application
purpose. Everyone widely uses the GPS system, which is helpful in long Drives.
Digital Assistants - Artificial Intelligence systems ‘avatar’ which are models of
digital assistants are used by advanced organizations to reduce the need for human
resources. The avatars are free of emotional thinking, so they think logically and
take right decisions. Human emotions are generally associated with moods that
disturb the judgments and affect the human efficiency.
Repetitive Jobs & multi - tasking - Humans can do only one task at a time.
Machines can perform multi-tasking and can think faster than human beings.
Machines can perform dangerous tasks and their parameters can be adjusted i.e.
speed and time.
No Breaks - Humans can work 8 hours per day with 2 or 3 breaks. Unlike human
beings machines do not require frequent breaks and refreshment.
28. Medical Applications - Nowadays, the physicians are assessing the patients and
analyzing the health risks with the help of Artificial Intelligence. Artificial
Intelligence program is educating the physicians about various medicines and
their side effects. Training surgeons are gaining knowledge with the help of
simulators of artificial surgery. They are trained with the help of artificial surgery
simulators viz., brain simulation, heart simulation, GIT simulation etc.
No risk of harm - when human beings are working at the fire stations, if some
mishap happens, it causes harm to the personnel. While in the case of machines,
they don’t feel and have emotions. Also, If machines are broken, it is possible to
mantle the parts.
Act as aids - Machines which have AI technology can be used to serve children
with disability or the elders on a 24/7 basis. They act as a source for teaching and
learning. They are also useful in security alerting in fires, robbery in banks and in
difficult climatic conditions.
Limitless functions - Machines do not have any boundaries; they do everything
better than humans. They are emotionless, more efficient, more accurate and
provide more free time to us.
29. High cost
Decrease in demand for human labour
AI may be programmed to do somethingdevastating
Machine Ethics
Thestorage and access are not
as effective as human brains
No improvement with
experience
Disadvantages of A.I.
30.
31. Improved speech, voice, image, video
recognition will change the way devices.
Personal assistants will become more
personal and context aware.
More and more systems will run
autonomously to a point
The positive impact AI research can
have on humanity, will start to be
across many walks of life - much of it
behind the scenes
32. CONCLUSION
A.I. is a common topic in both Science Fiction & Projection.
The future of Technology & society.
Rivals Human Intelligence.
Raises difficult Ethical Issues
33. A.I. Is like two edged sword, at one end they can solve
problems intelligently, at another end they pose a problem
themselves…. So we have to handle it properly.
I Am Good Or Bad ???
It’s Depends on who Created