This Presentation talks about AI technology and elaborates, how we are already surrounded by this. it also talks about what are the pros and cons of this technology.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
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).
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.
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.
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.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
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).
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.
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.
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.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Artificial Intelligence and the Future of HumanityGerd Leonhard
A collection from Gerd's recent keynotes and presentation. See www.gerdtube.com for videos and www.techvshuman.com for more details about the book 'technology vs humanity'
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
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.
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
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.
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.
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 (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 is the field of computer science that deals with creating intelligent machines. It involves giving computers abilities like human intelligence such as understanding language, learning, reasoning and problem solving. The goals of AI are to build systems that exhibit intelligent behavior and to understand intelligence in order to model it. Some applications of AI discussed include smart cars that can recognize speech, provide navigation assistance and warn of hazards, as well as military robots that can operate in combat zones with little human supervision. Advantages of AI include machines being able to do complex, stressful and repetitive work faster than humans while disadvantages are that AI currently lacks human qualities and could potentially replace some human jobs.
The document provides an overview of the history and evolution of artificial intelligence (AI). It begins with definitions of AI as studying how to make computers perform tasks that people are better at, such as handling large data sets without errors. Early milestones included the Logic Theorist program in 1956 and games programs that solved checkers and eventually beat top chess players. Symbolic AI used data structures to represent concepts like knowledge, while subsymbolic AI modeled intelligence at the neural level. Knowledge representation and acquisition were major challenges, including representing commonsense knowledge and learning concepts from examples and language. Reasoning techniques discussed include search, logic, and expert systems that applied rules to domains like medicine.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an introduction to artificial intelligence and machine learning. It discusses key concepts like supervised vs unsupervised learning and common machine learning algorithms like linear regression, logistic regression, clustering, random forests and neural networks. It also covers example applications like price prediction, medical diagnosis and image recognition. Programming languages for machine learning like Python, R and Java are listed. The machine learning process of collecting data, selecting algorithms, building models and making predictions is summarized.
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.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
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 plays a major role in digital marketing. There are different types of AI:
Reactive machines simply react to input with output without learning. Limited memory types can store previous data and predictions to make better forecasts. Theory of mind AI is beginning to interact with human thoughts and emotions, as seen in self-driving cars interacting with other drivers. The final type is hypothetical self-aware AI that could achieve independent intelligence and potential negotiation with humans.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
Power point presentation on basic of Artificial Intelligent Vishal Singh
The document provides an overview of artificial intelligence (AI). It defines AI as the study of computer systems that attempt to model human intelligence. The early history of AI is discussed, noting Alan Turing's 1950 paper that asked if machines can think. The current status of AI includes intelligent personal assistants on mobile devices, as well as applications in video games, navigation, robotics, and deep learning. Key challenges for AI are computing power, intuitive thinking, and judgment. The future of AI is seen in self-driving cars, improved healthcare, and new areas of exploration.
Artificial intelligence (AI) is the study of computer systems that attempt to model and apply human intelligence. Early pioneers like Alan Turing asked if machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Modern AI has made advances in digital assistants like Siri, robotics, deep learning, and self-driving cars. However, challenges remain around computing power, intuitive thinking, and human-level judgment. The future of AI may include improved healthcare, exploration, and automation, but risks include unemployment, diminished human abilities, and potential misuse if it falls into the wrong hands.
Artificial intelligence (AI) is defined and its early history is discussed. Current applications of AI include digital assistants (Siri, Cortana), robotics, and machine learning used by Google. Challenges to AI include computing power, intuitive thinking, and judging ability. The future of AI is predicted to include self-driving cars, improved healthcare, and space exploration. Both pros and cons of AI are provided, such as precision but lack of creativity, and unemployment but ability to do repetitive tasks.
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.
Artificial intelligence is the simulation of human intelligence by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition, and machine vision. The document discusses three types of AI: artificial narrow intelligence, artificial general intelligence, and artificial super intelligence. It also outlines several advantages of AI such as low error rates, precision, and ability to complete dangerous tasks. The document explores fields where AI is used like machine translation, facial recognition, virtual assistants, and self-driving cars.
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.
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.
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 (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 is the field of computer science that deals with creating intelligent machines. It involves giving computers abilities like human intelligence such as understanding language, learning, reasoning and problem solving. The goals of AI are to build systems that exhibit intelligent behavior and to understand intelligence in order to model it. Some applications of AI discussed include smart cars that can recognize speech, provide navigation assistance and warn of hazards, as well as military robots that can operate in combat zones with little human supervision. Advantages of AI include machines being able to do complex, stressful and repetitive work faster than humans while disadvantages are that AI currently lacks human qualities and could potentially replace some human jobs.
The document provides an overview of the history and evolution of artificial intelligence (AI). It begins with definitions of AI as studying how to make computers perform tasks that people are better at, such as handling large data sets without errors. Early milestones included the Logic Theorist program in 1956 and games programs that solved checkers and eventually beat top chess players. Symbolic AI used data structures to represent concepts like knowledge, while subsymbolic AI modeled intelligence at the neural level. Knowledge representation and acquisition were major challenges, including representing commonsense knowledge and learning concepts from examples and language. Reasoning techniques discussed include search, logic, and expert systems that applied rules to domains like medicine.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an introduction to artificial intelligence and machine learning. It discusses key concepts like supervised vs unsupervised learning and common machine learning algorithms like linear regression, logistic regression, clustering, random forests and neural networks. It also covers example applications like price prediction, medical diagnosis and image recognition. Programming languages for machine learning like Python, R and Java are listed. The machine learning process of collecting data, selecting algorithms, building models and making predictions is summarized.
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.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
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 plays a major role in digital marketing. There are different types of AI:
Reactive machines simply react to input with output without learning. Limited memory types can store previous data and predictions to make better forecasts. Theory of mind AI is beginning to interact with human thoughts and emotions, as seen in self-driving cars interacting with other drivers. The final type is hypothetical self-aware AI that could achieve independent intelligence and potential negotiation with humans.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
Artificial intelligence (AI) is the field of computer science that develops machines or software with human-like intelligence. There are two types of AI: narrow AI, which is limited to specific tasks, and strong AI, which would have general human-level intelligence. AI is being applied in many areas including healthcare, transportation, education, and more. Some key developments in AI history include the invention of the Turing test in 1950 to measure machine intelligence, IBM's Deep Blue beating the chess champion in 1997, and IBM Watson winning Jeopardy in 2011. Cognitive computing systems like Watson are aimed at simulating human thought processes.
1) Artificial intelligence is the science and engineering of making intelligent machines that can perceive and take actions to maximize their success.
2) Early AI programs included the Logic Theorist which solved math theorems, and programs for playing checkers that learned from experience.
3) Recent advances in data, computing power, and techniques like machine learning, deep learning and neural networks have greatly expanded what AI can accomplish, with applications including computer vision, speech recognition, translation and more.
4) While current AI is specialized or "weak," the goal is to develop "strong" or general human-level AI that can perform any intellectual task, but this poses risks that must be addressed to ensure such systems remain
Power point presentation on basic of Artificial Intelligent Vishal Singh
The document provides an overview of artificial intelligence (AI). It defines AI as the study of computer systems that attempt to model human intelligence. The early history of AI is discussed, noting Alan Turing's 1950 paper that asked if machines can think. The current status of AI includes intelligent personal assistants on mobile devices, as well as applications in video games, navigation, robotics, and deep learning. Key challenges for AI are computing power, intuitive thinking, and judgment. The future of AI is seen in self-driving cars, improved healthcare, and new areas of exploration.
Artificial intelligence (AI) is the study of computer systems that attempt to model and apply human intelligence. Early pioneers like Alan Turing asked if machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Modern AI has made advances in digital assistants like Siri, robotics, deep learning, and self-driving cars. However, challenges remain around computing power, intuitive thinking, and human-level judgment. The future of AI may include improved healthcare, exploration, and automation, but risks include unemployment, diminished human abilities, and potential misuse if it falls into the wrong hands.
Artificial intelligence (AI) is defined and its early history is discussed. Current applications of AI include digital assistants (Siri, Cortana), robotics, and machine learning used by Google. Challenges to AI include computing power, intuitive thinking, and judging ability. The future of AI is predicted to include self-driving cars, improved healthcare, and space exploration. Both pros and cons of AI are provided, such as precision but lack of creativity, and unemployment but ability to do repetitive tasks.
New Seminar 1674884334777445774322235.pdfAlokPradhan59
Artificial intelligence (AI) is defined as computer systems that attempt to model human intelligence. The document discusses the early history of AI from Alan Turing's 1950 paper asking if machines can think to John McCarthy coining the term "artificial intelligence" in 1956. Current applications of AI include digital assistants like Siri, advances in machine learning and deep learning, and uses in areas like self-driving cars, medical diagnosis, and space exploration. Challenges for AI include computing power, intuitive thinking, and judging ability. The future of AI is promising but also presents risks if not developed responsibly.
Artificial intelligence (AI) is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing asked if machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Current AI includes intelligent digital assistants, self-driving cars, and medical applications. Challenges remain around computing power, intuitive thinking, and judging ability. The future of AI may include improved transportation, healthcare, and exploration through precision and reduced costs, though risks include unemployment and over-reliance on machines.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, current applications, challenges, and the future of AI. It discusses early pioneers in AI like Alan Turing and John McCarthy and how AI has progressed from theoretical discussions to applications in digital assistants, games, robotics, and more through advances in deep learning. Both pros and cons of AI are presented, with the future of AI predicted to include self-driving cars, improved healthcare, and space exploration. The document concludes that AI aims to create machine intelligence through studying and designing intelligent agents.
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and more. Challenges for AI include computing power, intuitive thinking, and judging ability. The future of AI is predicted to include self-driving cars, medical advances, and exploration. Pros are precision and repetitive tasks while cons include costs, lack of creativity, and potential job losses or human dependence on machines. The conclusion restates that AI aims to create machine intelligence through designing intelligent agents.
Artificial intelligence is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing explored whether machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Today, AI is used widely in digital assistants, self-driving cars, medical diagnosis, and more. However, it still faces challenges such as matching human intuitive thinking and common sense. The future of AI is promising but uncertain, as it could revolutionize many fields while also disrupting the workforce and potentially becoming too independent from human values.
presentation by faizan[1] [Read-Only].pptxkhfaizan534
Artificial intelligence (AI) is the study of computer systems that attempt to mimic human intelligence. Early pioneers like Alan Turing asked if machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Current AI includes intelligent digital assistants, self-driving cars, and medical applications. Challenges remain around computing power, intuitive thinking, and judgment. The future of AI may include improved transportation, healthcare, and exploration, though jobs could be lost and emotional intelligence remains limited.
Artificial Intelligence - Forwarded by Jeff CampauJeff Campau
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document also covers challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided such as precision and costs/unemployment. The conclusion restates that AI aims to create machine intelligence.
Power Point Presentation on Artificial Intelligence Anushka Ghosh
Its a Power Point Presentation on Artificial Intelligence.I hope you will find this helpful. Thank you.
You can also find out my another PPT on Artificial Intelligence.The link is given below--
https://www.slideshare.net/AnushkaGhosh5/ppt-presentation-on-artificial-intelligence
Anushka Ghosh
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document outlines challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided, such as precision but lack of human touch. The conclusion restates that AI aims to create machine intelligence.
AI 838686868686892868255383432434356.pptxChetanRaut43
This document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses early pioneers like Alan Turing and John McCarthy. Currently, AI is used in digital assistants like Siri, intelligent games, robotics, and other applications. The document outlines challenges for AI like computing power and intuitive thinking. It predicts future advances in self-driving cars, medical care, and space exploration. Both pros and cons of AI are provided, such as precision but lack of human touch. The conclusion restates that AI aims to create machine intelligence.
Artificial intelligence (AI) is the study and creation of computer systems that can perform tasks normally requiring human intelligence, such as visual perception, speech recognition, and decision-making. The document discusses the early history of AI from Alan Turing's 1950 paper asking if machines can think to John McCarthy coining the term "artificial intelligence" in 1956. It also covers current applications of AI like digital assistants Siri, Google Now, and Cortana, as well as challenges, future areas like self-driving cars and medical applications, and pros and cons of AI development.
ARTIFICIAL INTELLIGENCE - SHAPING THE FUTURE.pptxShubhamSagar67
The document defines artificial intelligence and discusses its history and current applications. It begins with definitions of AI and discusses its early history, including Alan Turing's seminal 1950 paper asking if machines can think. The document then summarizes the current status of AI, including applications in mobile phones, video games, GPS, robotics, and Google's work in deep learning. It outlines challenges for AI, the future potential of self-driving cars and medical advances, as well as pros and cons. It concludes by defining AI as the study and design of intelligent agents.
Artificial intelligence is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.
This document provides an overview of artificial intelligence (AI). It defines AI as the study of computer systems that attempt to model human intelligence. The document outlines the early history of AI beginning in 1950 with Alan Turing's paper on machine intelligence. It describes the current status of AI in applications such as mobile phones, video games, GPS, and robotics. Challenges for AI are discussed as well as the future potential in areas like self-driving cars and medical care. Both pros and cons of AI are presented before the document concludes with a definition of AI as the study and design of intelligent agents.
This PPT gives you more than enough introduction to artificial intelligence and makes you to learn yourself artificial intelligence creating interest upon it
Philippine Edukasyong Pantahanan at Pangkabuhayan (EPP) CurriculumMJDuyan
(𝐓𝐋𝐄 𝟏𝟎𝟎) (𝐋𝐞𝐬𝐬𝐨𝐧 𝟏)-𝐏𝐫𝐞𝐥𝐢𝐦𝐬
𝐃𝐢𝐬𝐜𝐮𝐬𝐬 𝐭𝐡𝐞 𝐄𝐏𝐏 𝐂𝐮𝐫𝐫𝐢𝐜𝐮𝐥𝐮𝐦 𝐢𝐧 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬:
- Understand the goals and objectives of the Edukasyong Pantahanan at Pangkabuhayan (EPP) curriculum, recognizing its importance in fostering practical life skills and values among students. Students will also be able to identify the key components and subjects covered, such as agriculture, home economics, industrial arts, and information and communication technology.
𝐄𝐱𝐩𝐥𝐚𝐢𝐧 𝐭𝐡𝐞 𝐍𝐚𝐭𝐮𝐫𝐞 𝐚𝐧𝐝 𝐒𝐜𝐨𝐩𝐞 𝐨𝐟 𝐚𝐧 𝐄𝐧𝐭𝐫𝐞𝐩𝐫𝐞𝐧𝐞𝐮𝐫:
-Define entrepreneurship, distinguishing it from general business activities by emphasizing its focus on innovation, risk-taking, and value creation. Students will describe the characteristics and traits of successful entrepreneurs, including their roles and responsibilities, and discuss the broader economic and social impacts of entrepreneurial activities on both local and global scales.
A Visual Guide to 1 Samuel | A Tale of Two HeartsSteve Thomason
These slides walk through the story of 1 Samuel. Samuel is the last judge of Israel. The people reject God and want a king. Saul is anointed as the first king, but he is not a good king. David, the shepherd boy is anointed and Saul is envious of him. David shows honor while Saul continues to self destruct.
This presentation was provided by Racquel Jemison, Ph.D., Christina MacLaughlin, Ph.D., and Paulomi Majumder. Ph.D., all of the American Chemical Society, for the second session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session Two: 'Expanding Pathways to Publishing Careers,' was held June 13, 2024.
Gender and Mental Health - Counselling and Family Therapy Applications and In...PsychoTech Services
A proprietary approach developed by bringing together the best of learning theories from Psychology, design principles from the world of visualization, and pedagogical methods from over a decade of training experience, that enables you to: Learn better, faster!
THE SACRIFICE HOW PRO-PALESTINE PROTESTS STUDENTS ARE SACRIFICING TO CHANGE T...indexPub
The recent surge in pro-Palestine student activism has prompted significant responses from universities, ranging from negotiations and divestment commitments to increased transparency about investments in companies supporting the war on Gaza. This activism has led to the cessation of student encampments but also highlighted the substantial sacrifices made by students, including academic disruptions and personal risks. The primary drivers of these protests are poor university administration, lack of transparency, and inadequate communication between officials and students. This study examines the profound emotional, psychological, and professional impacts on students engaged in pro-Palestine protests, focusing on Generation Z's (Gen-Z) activism dynamics. This paper explores the significant sacrifices made by these students and even the professors supporting the pro-Palestine movement, with a focus on recent global movements. Through an in-depth analysis of printed and electronic media, the study examines the impacts of these sacrifices on the academic and personal lives of those involved. The paper highlights examples from various universities, demonstrating student activism's long-term and short-term effects, including disciplinary actions, social backlash, and career implications. The researchers also explore the broader implications of student sacrifices. The findings reveal that these sacrifices are driven by a profound commitment to justice and human rights, and are influenced by the increasing availability of information, peer interactions, and personal convictions. The study also discusses the broader implications of this activism, comparing it to historical precedents and assessing its potential to influence policy and public opinion. The emotional and psychological toll on student activists is significant, but their sense of purpose and community support mitigates some of these challenges. However, the researchers call for acknowledging the broader Impact of these sacrifices on the future global movement of FreePalestine.
Andreas Schleicher presents PISA 2022 Volume III - Creative Thinking - 18 Jun...EduSkills OECD
Andreas Schleicher, Director of Education and Skills at the OECD presents at the launch of PISA 2022 Volume III - Creative Minds, Creative Schools on 18 June 2024.
Elevate Your Nonprofit's Online Presence_ A Guide to Effective SEO Strategies...TechSoup
Whether you're new to SEO or looking to refine your existing strategies, this webinar will provide you with actionable insights and practical tips to elevate your nonprofit's online presence.
2. Contents
• Definition
• Early History
• Current status of AI
• Challenges for AI
• Future of AI
• Pros & Cons
• AI Based Platform
• AI Based Lesson Plan
3. 1)The study of computer systems that attempt to model and apply the intelligence
of the human mind.
2)A branch of computer science dealing with the simulation of intelligent behaviour in
computers.
3) The capability of a machine to imitate intelligent human behaviour.
4. Google Now, Siri
and Cortana are all intelligent
digital personal assistants on
various platforms (iOS,
Android, and Windows
Mobile). In short, they help find
useful information when we
ask for it using our voice.
We can use them to make calls, send messages, set reminders, take notes,
recognize music, find great restaurants, check your calendar, and more.
5. Early History
In 1950 English mathematician
Alan Turing wrote a landmark
paper titled “Computing
Machinery and Intelligence” that
asked the question: “Can
machines think?”
Further work came out of a 1956
workshop at Dartmouth
sponsored by John McCarthy. In
the proposal for that workshop,
he coined the phrase a “study of
Artificial Intelligence”
7. AI have taken many shapes and forms over recent years
o Mobile Phones ( Siri/ Cortana)
o Video Games Characters
o GPS/ Voice Recognition
o Robotics
Google has been a major play on AI transcendence and Deep Learning.
o Deep learning is a machine learning based on algorithms.
9. FUTURE OF AI
• Beyond negotiation, Moore says CMU is betting several other AI areas are
going to be hugely important in the near future.
• Self Driving Cars.
• Improved Medical Care & Treatment.
• Open up doors to future explorations.
• Etc.
10. PROS & CONS
• Precision and Accuracy Cost incurred in the maintenance and repair
• Space exploration Not able to act any different
• Used for mining process Lack the human touch
• Can do laborious tasks Lack a creative mind
• Fraud detection, manage records. Lack common sense
• Lacking the emotional side Unemployment
• Can do repetitive and time-consuming tasks Abilities of humans may diminish
• Robotic pets, Robotic radiosurgery. Robots superseding humans
• Function without stopping, Risk Reducing. Humans may became dependent on machines.
• Diagnosis and Treatment Wrong hands causes destruction
11. Various AI Based Platforms
• 1. Arloopa
• 2. Inklewriter
• 3. Poem-generator.com
• 4. akinator.com
• 5. Semantris
• 6. Ethics in AI
• 7. AI Modeling
• 8. Google Map
• 9. Emoji Scavenger Hunt