Artificial Intelligence (AI).pptx
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This document provides an introduction to artificial intelligence, describing it as the development of computer systems that can perform tasks requiring human intelligence such as visual perception and decision-making. It distinguishes between weak AI, which can respond to specific situations but not think for itself, and strong AI, which could think and act like humans by learning from experiences. Examples of real-life AI applications are given such as self-driving cars and chatbots, while the benefits are said to include reducing risks to humans in areas like war, dangerous workspaces, and natural disasters or assisting with everyday tasks like cleaning and transportation.
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Artificial intelligence.pdf
Artificial intelligence (AI) is the development of computer systems that can perform tasks normally requiring human intelligence, such as visual perception and decision-making. In movies, AI is often portrayed unrealistically as robots that think and act just like humans, but in reality current AI examples include self-driving cars, navigation systems, and chatbots that can only respond to specific situations without general human-level thinking. The future of AI could include military robots, AI lawyers, and AI to help with healthcare, business and music.
DIGITAL MARKETING INSTITUTE IN BANGALORE
DIGITAL MARKETING INSTITUTE IN BANGALORE
WE’RE INDIA’S 1 AGENCY-BASED DIGITAL MARKETING INSTITUTE NIDM — Was Founded By Shri M.S.Kumar, India’s Top Digital Marketing Faculty In the year 2010 with a vision to create Successful Careers in The Digital Marketing Industry, With his expertise and guidance we have trained more than 30,000+ Students, 2500+ Batches, Students from 20+ Countries, Trainees got placed in Top MNC companies in India and guided over 100+ Startups. NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide. Our Curriculum/ Courses Are Designed with Practical knowledge and Fully For Job Orientation Bases.
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ai pdf.pdf
DIGITAL MARKETING INSTITUTE IN BANGALORE
WE’RE INDIA’S 1 AGENCY-BASED DIGITAL MARKETING INSTITUTE NIDM — Was Founded By Shri M.S.Kumar, India’s Top Digital Marketing Faculty In the year 2010 with a vision to create Successful Careers in The Digital Marketing Industry, With his expertise and guidance we have trained more than 30,000+ Students, 2500+ Batches, Students from 20+ Countries, Trainees got placed in Top MNC companies in India and guided over 100+ Startups. NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide. Our Curriculum/ Courses Are Designed with Practical knowledge and Fully For Job Orientation Bases.
Follow Us: Instagram:
Instagram:/ nidmindia_official
Facebook:/ nationalinstituteofdigitalmarketing
Twitter:/ nidmindia
LinkedIn:/ nidm-india .
Pinterest:/ nidmbangalore1
Address: No 23, Venkateshwara Complex, 1st floor, 9th B and C Main, Dr. Puneeth Rajkumar Road, KEB Colony, BTM 1st Stage, Bengaluru, Karnataka, India 560029
Location: https://goo.gl/maps/Dse7fGarbCu6iWBY8
For enquiry Contact: +91 9611361147
Email: nidmindia@gmail.com
Visit Us: https://nidmindia.com
#nidmindia #Canva #videos #music #nammabengaluru #bangalore #trending #trendingvid#digitalmarketingeo #subscribe #subscribenow #digitalmarketingcourse #tips #SocialMediaStrategy #DigitalMarketingTips #BusinessSuccess #seo #marketing #friday #principal
artificial_intelligence introduction with points
This document discusses artificial intelligence (AI) and provides definitions and examples. It defines AI as the development of computer systems able to perform tasks requiring human intelligence, such as visual perception and decision-making. Examples given include self-driving cars, navigation systems, chatbots, and human versus computer games. Weak AI is designed to respond to specific situations while strong AI would think and act like humans, though no examples of strong AI currently exist. The document also discusses machine learning, the Turing test for measuring intelligence, and potential future applications of AI in fields like the military, law, business, healthcare, and more.
rr_01_artificial_intelligence (1).pdf
The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI technologies are self-driving cars, navigation systems, humanoid robots, and chatbots. The document also discusses weak AI, which can only respond to specific situations, versus potential strong AI that may one day think and act like humans. Benefits of AI include reducing human casualties in dangerous situations and making everyday tasks easier.
A.i. presentation
The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI include self-driving cars, robotics, navigation systems, and chatbots. Weak AI is designed for specific tasks while strong AI would think and act like humans, but no systems have achieved strong AI yet. The document also discusses machine learning, the Turing test for measuring intelligence, and potential future applications of AI in fields like the military, law, business, healthcare, and more.
rr_01_artificial_intelligence.pptx information
Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.
One of the most important advances in AI research has been the development of machine learning algorithms. Machine learning algorithms allow AI systems to learn from data, without being explicitly programmed. This has led to the development of AI systems that can perform tasks such as image recognition, natural language processing, and fraud detection.
AI is also being used to develop new applications in a wide range of fields, including healthcare, finance, and manufacturing. For example, AI is being used to develop new drugs and treatments, to automate financial trading, and to improve the efficiency of manufacturing processes.
As AI continues to develop, it is likely to have a profound impact on our lives. AI systems are already being used to automate many tasks that were previously performed by humans. In the future, AI systems are likely to become even more intelligent and capable, and they could play an even greater role in our lives.
Here are some of the specific ways that AI is being used today:
In healthcare, AI is being used to develop new drugs and treatments, to diagnose diseases, and to provide personalized care to patients.
In finance, AI is being used to automate financial trading, to detect fraud, and to manage risk.
In manufacturing, AI is being used to improve the efficiency of manufacturing processes, to predict demand for products, and to develop new products.
In transportation, AI is being used to develop self-driving cars, to optimize traffic flow, and to improve safety.
In customer service, AI is being used to develop chatbots that can answer customer questions and provide support.
In education, AI is being used to develop personalized learning programs, to provide feedback to students, and to automate administrative tasks.
These are just a few examples of the many ways that AI is being used today. As AI continues to develop, we can expect to see even more innovative and groundbreaking applications of this technology.
Here are some of the challenges that AI researchers are still working to address:
Safety:
AI systems need to be designed to be safe and reliable. This means that they need to be able to handle unexpected situations and to avoid making mistakes that could have serious consequences.
Bias:
AI systems can be biased, reflecting the biases of the data that they are trained on. This can lead to unfair or discriminatory outcomes. AI researchers are working to develop methods for mitigating bias in AI systems.
Explainability:
AI systems can be complex and difficult to understand. This can make it difficult to trust them and to hold them accountable for their decisions. AI researchers are working
Recommended
Artificial intelligence.pdf
Artificial intelligence (AI) is the development of computer systems that can perform tasks normally requiring human intelligence, such as visual perception and decision-making. In movies, AI is often portrayed unrealistically as robots that think and act just like humans, but in reality current AI examples include self-driving cars, navigation systems, and chatbots that can only respond to specific situations without general human-level thinking. The future of AI could include military robots, AI lawyers, and AI to help with healthcare, business and music.
DIGITAL MARKETING INSTITUTE IN BANGALORE
DIGITAL MARKETING INSTITUTE IN BANGALORE
WE’RE INDIA’S 1 AGENCY-BASED DIGITAL MARKETING INSTITUTE NIDM — Was Founded By Shri M.S.Kumar, India’s Top Digital Marketing Faculty In the year 2010 with a vision to create Successful Careers in The Digital Marketing Industry, With his expertise and guidance we have trained more than 30,000+ Students, 2500+ Batches, Students from 20+ Countries, Trainees got placed in Top MNC companies in India and guided over 100+ Startups. NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide. Our Curriculum/ Courses Are Designed with Practical knowledge and Fully For Job Orientation Bases.
Follow Us:
Instagram: nidmindia_official
Facebook: nationalinstituteofdigitalmarketing
Twitter: nidmindia
LinkedIn: nidm-india
Pinterest: nidmbangalore1
Address:
No 23, Venkateshwara Complex, 1st floor, 9th B and C Main, Dr. Puneeth Rajkumar Road, KEB Colony, BTM 1st Stage, Bengaluru, Karnataka, India 560029
Location:
Google Maps Location
For Enquiries Contact:
Phone: +91 9611361147
Email: nidmindia@gmail.com
Visit Us:
https://nidmindia.com
#nidmindia #Canva #videos #music #nammabengaluru #bangalore #trending #trendingvid#digitalmarketingeo #subscribe #subscribenow #digitalmarketingcourse #tips #SocialMediaStrategy #DigitalMarketingTips #BusinessSuccess #seo #marketing #friday #principal
ai pdf.pdf
DIGITAL MARKETING INSTITUTE IN BANGALORE
WE’RE INDIA’S 1 AGENCY-BASED DIGITAL MARKETING INSTITUTE NIDM — Was Founded By Shri M.S.Kumar, India’s Top Digital Marketing Faculty In the year 2010 with a vision to create Successful Careers in The Digital Marketing Industry, With his expertise and guidance we have trained more than 30,000+ Students, 2500+ Batches, Students from 20+ Countries, Trainees got placed in Top MNC companies in India and guided over 100+ Startups. NIDM (National Institute Of Digital Marketing) Bangalore Is One Of The Leading Digital Marketing Institute In Bangalore, India And We Have Brand Value For The Quality Of Education Which We Provide. Our Curriculum/ Courses Are Designed with Practical knowledge and Fully For Job Orientation Bases.
Follow Us: Instagram:
Instagram:/ nidmindia_official
Facebook:/ nationalinstituteofdigitalmarketing
Twitter:/ nidmindia
LinkedIn:/ nidm-india .
Pinterest:/ nidmbangalore1
Address: No 23, Venkateshwara Complex, 1st floor, 9th B and C Main, Dr. Puneeth Rajkumar Road, KEB Colony, BTM 1st Stage, Bengaluru, Karnataka, India 560029
Location: https://goo.gl/maps/Dse7fGarbCu6iWBY8
For enquiry Contact: +91 9611361147
Email: nidmindia@gmail.com
Visit Us: https://nidmindia.com
#nidmindia #Canva #videos #music #nammabengaluru #bangalore #trending #trendingvid#digitalmarketingeo #subscribe #subscribenow #digitalmarketingcourse #tips #SocialMediaStrategy #DigitalMarketingTips #BusinessSuccess #seo #marketing #friday #principal
artificial_intelligence introduction with points
This document discusses artificial intelligence (AI) and provides definitions and examples. It defines AI as the development of computer systems able to perform tasks requiring human intelligence, such as visual perception and decision-making. Examples given include self-driving cars, navigation systems, chatbots, and human versus computer games. Weak AI is designed to respond to specific situations while strong AI would think and act like humans, though no examples of strong AI currently exist. The document also discusses machine learning, the Turing test for measuring intelligence, and potential future applications of AI in fields like the military, law, business, healthcare, and more.
rr_01_artificial_intelligence (1).pdf
The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI technologies are self-driving cars, navigation systems, humanoid robots, and chatbots. The document also discusses weak AI, which can only respond to specific situations, versus potential strong AI that may one day think and act like humans. Benefits of AI include reducing human casualties in dangerous situations and making everyday tasks easier.
A.i. presentation
The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI include self-driving cars, robotics, navigation systems, and chatbots. Weak AI is designed for specific tasks while strong AI would think and act like humans, but no systems have achieved strong AI yet. The document also discusses machine learning, the Turing test for measuring intelligence, and potential future applications of AI in fields like the military, law, business, healthcare, and more.
rr_01_artificial_intelligence.pptx information
Artificial intelligence (AI) is a branch of computer science that deals with the creation of intelligent agents, which are systems that can reason, learn, and act autonomously. AI research has been highly successful in developing effective techniques for solving a wide range of problems, from game playing to medical diagnosis.
One of the most important advances in AI research has been the development of machine learning algorithms. Machine learning algorithms allow AI systems to learn from data, without being explicitly programmed. This has led to the development of AI systems that can perform tasks such as image recognition, natural language processing, and fraud detection.
AI is also being used to develop new applications in a wide range of fields, including healthcare, finance, and manufacturing. For example, AI is being used to develop new drugs and treatments, to automate financial trading, and to improve the efficiency of manufacturing processes.
As AI continues to develop, it is likely to have a profound impact on our lives. AI systems are already being used to automate many tasks that were previously performed by humans. In the future, AI systems are likely to become even more intelligent and capable, and they could play an even greater role in our lives.
Here are some of the specific ways that AI is being used today:
In healthcare, AI is being used to develop new drugs and treatments, to diagnose diseases, and to provide personalized care to patients.
In finance, AI is being used to automate financial trading, to detect fraud, and to manage risk.
In manufacturing, AI is being used to improve the efficiency of manufacturing processes, to predict demand for products, and to develop new products.
In transportation, AI is being used to develop self-driving cars, to optimize traffic flow, and to improve safety.
In customer service, AI is being used to develop chatbots that can answer customer questions and provide support.
In education, AI is being used to develop personalized learning programs, to provide feedback to students, and to automate administrative tasks.
These are just a few examples of the many ways that AI is being used today. As AI continues to develop, we can expect to see even more innovative and groundbreaking applications of this technology.
Here are some of the challenges that AI researchers are still working to address:
Safety:
AI systems need to be designed to be safe and reliable. This means that they need to be able to handle unexpected situations and to avoid making mistakes that could have serious consequences.
Bias:
AI systems can be biased, reflecting the biases of the data that they are trained on. This can lead to unfair or discriminatory outcomes. AI researchers are working to develop methods for mitigating bias in AI systems.
Explainability:
AI systems can be complex and difficult to understand. This can make it difficult to trust them and to hold them accountable for their decisions. AI researchers are working
rr_01_artificial_intelligence.pdf
The document discusses artificial intelligence (AI) and provides examples of current AI applications. It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. Examples of current AI include self-driving cars, robotics, navigation systems, and chatbots. Weak AI is designed for specific tasks while strong AI would think and act like humans, but no systems have achieved strong AI yet. Machine learning is an application of AI that allows systems to learn without programming. The document also discusses the Turing test for measuring intelligence and the potential future of AI in fields like the military, law, business, healthcare, and more.
rr_01_artificial_intelligence.pptx
The document discusses artificial intelligence and provides examples of current and potential applications of AI technologies. It defines AI as the development of computer systems able to perform tasks requiring human intelligence, such as visual perception and decision-making. Examples of existing AI applications mentioned include self-driving cars, robotics, navigation systems, chatbots, and computer games. The document also discusses weak AI which can only respond to specific situations versus potential strong AI that may one day think and act like humans. Machine learning is presented as an application of AI that allows systems to learn without human programming.
Growing through Artificial Intelligence (AI)
This PPT presentation is about Artificial intelligence. This is Helpful for Presenting in colleges, Schools, Company etc.
Ai.pptx
Artificial intelligence (AI) is the development of computer systems that can perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Weak AI systems are designed to operate in specific contexts, while strong AI would think and act like humans. Machine learning is an application of AI that allows systems to learn without explicit programming. The Turing Test evaluates intelligence in computers by seeing if a human can distinguish it from a human. Potential benefits of AI include reducing human casualties in dangerous situations and making everyday tasks like cleaning and shopping easier.
Artificial intelligence
This document provides an overview of artificial intelligence (AI). It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. The document discusses different types of AI, including weak AI which can only respond to specific situations and strong AI which could think and act like humans. It also covers applications of AI like self-driving cars, machine learning, the Turing test for evaluating intelligence, and both benefits and potential future uses of AI in fields like the military, law, business, healthcare, and more.
Introduction to Artificial Intelligence.
Introduction to Artificial Intelligence.
Benefits of Artificial Intelligence.
Difference between Strong AI and Weak AI.
Future use of Artificial Intelligence.
Artificial intelligennce
The document provides information about artificial intelligence (AI) including key figures, types of AI, how it works, examples, uses, advantages, and disadvantages. It discusses John McCarthy as the father of AI and founder of the term. It describes artificial narrow intelligence (ANI), artificial general intelligence (AGI), and artificial super intelligence (ASI). It then explains how AI works through algorithms, hardware, and neural network training. Examples given include virtual assistants from Microsoft, Apple, and Google, as well as virtual reality games and online shopping. Advantages mentioned are faster decision making and risk taking, while disadvantages include potential job losses and becoming too dependent on AI.
ARTIFICIAL INTELLIGENCE and how it imactas
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
There are various types of AI, including narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems, such as speech recognition, image recognition, or playing chess. General AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
AI algorithms and techniques can be categorized into several subfields, including:
1. Machine Learning: Machine learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
Artificial Intelligence
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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This document provides an introduction to artificial intelligence (AI). It defines AI as the simulation of human intelligence by machines, especially computer systems. It discusses the main categories of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines some current and future applications of AI, such as virtual personal assistants, self-driving cars, agriculture, and more. Finally, it discusses roles and career domains related to the field of AI.
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This document provides an overview of artificial intelligence (AI), including its history, applications, and types. It discusses early milestones in AI development as well as modern advances in deep learning, big data, and efforts to create artificial general intelligence. The document also examines what comprises AI and how intelligent agents are structured, defined in terms of their perception, environment, actuators, and sensors (PEAS). It explores rational agents and the Turing test as a way to evaluate machine intelligence.
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This document provides an overview of artificial intelligence (AI), including its history, types, workings, applications, and pros and cons. It defines AI as the ability of computers to mimic human intelligence through tasks like problem-solving, learning, and decision making. The document outlines the major developments in AI from 1950 to present day. It describes the two main types of AI as narrow/weak AI that can perform specific tasks, versus general and super AI that may match or surpass human-level cognition. The key components and functionalities that enable AI are also summarized, along with its wide-ranging applications and the benefits and limitations of AI systems.
AI with Will and Garrison.
This document provides an introduction to artificial intelligence (AI) through a series of short passages on various topics. It discusses what AI is, the Turing test for machine intelligence, examples of AI systems like Boibot and Siri, how AI is used in video games, and concludes with sources for further information. The document includes names of the authors and their interests to help the reader get to know them.
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This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
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This document discusses several topics related to the morality of artificial intelligence. It argues that AI will likely replace many human jobs by 2050 due to advantages like not needing breaks or getting sick. However, jobs requiring emotional connections may be safe. It also discusses the possibility of robots achieving general intelligence and different levels of consciousness, though true biological consciousness involving senses and emotions is something robots will never experience. The document raises questions about whether highly intelligent robots that have achieved technological singularity should be granted rights, and how difficult it is for humans to agree on complex moral questions or values that could be programmed into AI.
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Artificial intelligence (AI) is the development of computer systems that can perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. Weak AI systems are designed to operate in specific contexts, while strong AI would think and act like humans. Machine learning is an application of AI that allows systems to learn without explicit programming. The Turing Test evaluates intelligence in computers by seeing if a human can distinguish it from a human. Potential benefits of AI include reducing human casualties in dangerous situations and making everyday tasks like cleaning and shopping easier.
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This document provides an overview of artificial intelligence (AI). It defines AI as the development of computer systems that can perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. The document discusses different types of AI, including weak AI which can only respond to specific situations and strong AI which could think and act like humans. It also covers applications of AI like self-driving cars, machine learning, the Turing test for evaluating intelligence, and both benefits and potential future uses of AI in fields like the military, law, business, healthcare, and more.
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Future use of Artificial Intelligence.
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The document provides information about artificial intelligence (AI) including key figures, types of AI, how it works, examples, uses, advantages, and disadvantages. It discusses John McCarthy as the father of AI and founder of the term. It describes artificial narrow intelligence (ANI), artificial general intelligence (AGI), and artificial super intelligence (ASI). It then explains how AI works through algorithms, hardware, and neural network training. Examples given include virtual assistants from Microsoft, Apple, and Google, as well as virtual reality games and online shopping. Advantages mentioned are faster decision making and risk taking, while disadvantages include potential job losses and becoming too dependent on AI.
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Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
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2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
Artificial Intelligence
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…..!
Artificial Intelligence.pptx
This document outlines the different types and classifications of artificial intelligence. It discusses narrow AI, which focuses on performing specific tasks, such as digital assistants. General AI, which fully replicates human intelligence by solving many types of problems without human intervention, is also mentioned. The document also notes key branches of AI like machine learning, deep learning, and robotics. It states the core components needed to build an intelligent machine are a method for comparing experiences, applying past experiences to new ones, and a memory storage system.
SARANRAJ(AI).pptx
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
Introduction of ai
This document provides an introduction to artificial intelligence (AI). It defines AI as the simulation of human intelligence by machines, especially computer systems. It discusses the main categories of AI, including artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines some current and future applications of AI, such as virtual personal assistants, self-driving cars, agriculture, and more. Finally, it discusses roles and career domains related to the field of AI.
AI (1).pdf
Artificial intelligence (AI) aims to create intelligent machines that can function like humans. AI involves techniques like machine learning and deep learning. AI is used in many applications today including smart assistants, self-driving cars, spam filters, and recommendations. Major companies and countries are investing heavily in AI research and development. Future trends may include greater use of AI in areas like cybersecurity, healthcare, transportation, and combining AI with augmented or virtual reality technologies.
Presentation-AI.pptx
This document provides an overview of artificial intelligence (AI), including its history, applications, and types. It discusses early milestones in AI development as well as modern advances in deep learning, big data, and efforts to create artificial general intelligence. The document also examines what comprises AI and how intelligent agents are structured, defined in terms of their perception, environment, actuators, and sensors (PEAS). It explores rational agents and the Turing test as a way to evaluate machine intelligence.
AI.pptx
This document provides an overview of artificial intelligence (AI), including its history, types, workings, applications, and pros and cons. It defines AI as the ability of computers to mimic human intelligence through tasks like problem-solving, learning, and decision making. The document outlines the major developments in AI from 1950 to present day. It describes the two main types of AI as narrow/weak AI that can perform specific tasks, versus general and super AI that may match or surpass human-level cognition. The key components and functionalities that enable AI are also summarized, along with its wide-ranging applications and the benefits and limitations of AI systems.
AI with Will and Garrison.
This document provides an introduction to artificial intelligence (AI) through a series of short passages on various topics. It discusses what AI is, the Turing test for machine intelligence, examples of AI systems like Boibot and Siri, how AI is used in video games, and concludes with sources for further information. The document includes names of the authors and their interests to help the reader get to know them.
AI Presentation.pptx
This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
Morality of Artificial Intelligence slidedeck
This document discusses several topics related to the morality of artificial intelligence. It argues that AI will likely replace many human jobs by 2050 due to advantages like not needing breaks or getting sick. However, jobs requiring emotional connections may be safe. It also discusses the possibility of robots achieving general intelligence and different levels of consciousness, though true biological consciousness involving senses and emotions is something robots will never experience. The document raises questions about whether highly intelligent robots that have achieved technological singularity should be granted rights, and how difficult it is for humans to agree on complex moral questions or values that could be programmed into AI.
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Artificial Intelligence (AI).pptx
- 2. What do you think Artificial Intelligence is?
- 3. Artificial Intelligence in Movies • In movies, robots are able to talk, think, have emotions, and make decisions just like humans.
- 4. What is Artificial Intelligence? • Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence. Examples of these tasks are visual perception, speech recognition, decision-making, and translation between languages.
- 5. Real Life A.I. Examples • Self Driving Cars • Boston Dynamics • Navigation Systems • ASIMO • Chatbots • Human vs Computer Games • Many More!
- 6. Weak A.I. • Machines with weak Artificial Intelligence are made to respond to specific situations, but can not think for themselves
- 7. Strong A.I. • A machine with strong A.I. is able to think and act just like a human. It is able to learn from experiences. Since there are no real life examples of strong A.I. yet, the best representation would be how Hollywood portrays robots.
- 8. Benefits of A.I. The most important purpose of A.I. is to reduce human casualties in Wars • Dangerous Workspaces • Car Accidents • Natural Disasters Or to just make everyday life easier by helping with tasks such as: • Cleaning • Shopping • Transportation
- 9. THE END