Artificial Intellegence
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The document discusses artificial intelligence, defining it as the branch of computer science focused on developing intelligent machines that think and work like humans. It was first introduced in 1956 by John McCarthy. AI works using neural networks, learning from algorithms and historical data to respond to actions. While AI has been used to develop advanced technologies in industries like finance, healthcare, education and transportation, it also poses disadvantages like potential unemployment and lack of original creativity.
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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
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This document provides an overview of artificial intelligence, including its history, domains, applications in India, pros and cons, and future. It discusses how AI aims to create intelligent machines and systems that exhibit human-like behavior. Some key points include:
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The document discusses AI chatbots and their uses in various industries like travel, food/beverage, banking, healthcare, and retail. It covers how chatbots have evolved to leverage techniques like natural language processing. Examples are provided of chatbots assisting with tasks like booking travel, making reservations, checking bank accounts, and answering healthcare questions. The document also discusses emotion AI and sentiment analysis, and provides examples of chatbots like Replika and Woebot that analyze emotion. Demonstrations are included of emotion AI chatbots and integrating chatbots with e-commerce platforms and big data analytics.
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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…..!
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- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
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The document provides an overview of artificial intelligence (AI), including its history, goals, categories, fields of application, and future scope. It discusses how AI began in the 1950s and has since been applied in many domains including medicine, industry, games, speech recognition, and expert systems. The document also outlines the goals of simulating intelligence through traits like reasoning, knowledge representation, planning, and general intelligence. It describes the main categories of AI as conventional and computational intelligence approaches. Finally, it suggests that while narrow applications will continue improving, general artificial intelligence remains a challenge, but significant progress is expected in the coming decades.
Artificial intelligence
The document provides an overview of artificial intelligence (AI), including its history, goals, categories, fields of application, and future scope. It discusses how AI originated in the 1950s and has since been applied in many domains, such as games, speech recognition, and healthcare. The document also outlines the goals of simulating intelligence through traits like reasoning, knowledge representation, and planning. It describes the two main categories of AI as conventional and computational intelligence. Finally, it proposes that while narrow applications will continue advancing, general artificial intelligence remains a long-term challenge.
Future aspects of ai by rahul abhishek
This document discusses the future of artificial intelligence. It describes how AI is currently being used in fields like robotics, gaming, and healthcare. The document outlines that in the future, AI may be able to match or surpass human-level intelligence. It also discusses potential risks of advanced AI, such as artificial intelligences that do not have human-like motivations and may pursue goals that do not align with human values. The document concludes that accurately predicting the capabilities and impacts of future AI remains challenging.
Artificial intelligence-full -report.doc
This document provides an introduction and overview of artificial intelligence (AI). It discusses the history of AI, including early programs in the 1950s-1960s and advances such as neural networks and deep learning. It defines AI and describes its goals such as reasoning, knowledge representation, planning, natural language processing, perception, and social intelligence. The document outlines two main categories of AI: conventional AI which uses symbolic and statistical methods, and computational intelligence which uses machine learning techniques like neural networks. It gives examples of applications such as pattern recognition, robotics, and game playing. Finally, it discusses related fields where AI is used such as automation, cybernetics, and intelligent control systems.
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Artificial Intellegence
- 2. WHAT IS ARTIFICIAL INTELLIGENCE ? Artificial intelligence is the branch of computer science, that emphasizes the development of intelligence, machines thinking and working like humans. It was first introduced by “JOHN MC CARTHY ’’, In the year of 1956.
- 3. WORKING: It is based on the Neural Network Concept. It has to learn how to respond certain actions and it uses algorithms and historical data. It has accuracy and speed like robots. AI is to create technology that allows computers and machines to functions in an intelligent manner. Some AI technologies modifying their source code and rewriting its own source code.
- 4. USES: Artificial Intelligence has been used to develop the advanced technology and industries including finance, health care, education, transportations and more. In military applications ,Artificial Intelligence technologies enables coordination of sensors and effectors ,it detect and identification marking of enemy positions.
- 6. TYPES: Basically Three types of Artificial intelligence 1. Artificial Narrow Intelligence ( ANI ) 2. Artificial General Intelligence ( AGI ) 3. Artificial Super Intelligence ( ASI ) Examples : Chart boards Google assistant Gmail Empower smart phones with face unlock Authentication of apps
- 7. ADVANTAGES: 24/7 Availability machines ,don’t require frequent breaks and refreshment like humans. Data to day applications Medical applications Reduction of error Handling repetitive jobs DIS ADVANTAGES: Un employment No original creativity