Artificial intelligence is applied in many domains including finance, hospitals, heavy industry, telecommunications, gaming, music, and antivirus software. In finance, AI is used for operations, investing, loan investigations and ATM design. In hospitals, AI organizes bed schedules, staff rotation, and provides medical information. Robots are effectively used in heavy industry for dangerous, repetitive, or degrading jobs. Telecommunications companies use AI for workforce scheduling. AI is also applied to video games through bots and to music composition, performance, and sound processing. Antivirus detection has increasingly integrated AI techniques to improve performance.
Artificial intelligence (AI) is an area of computer science focused on creating intelligent machines that can perform tasks like humans. The field was born in 1956 at a workshop where Allen Newell, Herbert Simon, John McCarthy, Marvin Minsky, and Arthur Samuel became the founders of AI research. They and their students produced early programs that could learn checkers strategies, solve word problems in algebra, prove logical theorems, and speak English. By the 1960s, AI research was heavily funded by the Department of Defense and laboratories were established worldwide.
This document defines artificial intelligence and discusses its applications and impact on the future. It provides definitions of AI as the ability of computers to perform tasks commonly associated with human intelligence and simulate human problem solving. The document also discusses how AI will change various industries like entertainment, medicine, cybersecurity and transportation by 2050 through applications like personalized healthcare, autonomous vehicles, enhanced cybersecurity tools and customized virtual entertainment. It emphasizes the importance of AI in enabling computers to harness massive data to make optimal decisions and discoveries faster than humans.
Artificial intelligence (AI) is an area of computer science that emphasizes creating intelligent machines that work like humans. AI involves programming computers for traits like perception, learning, planning, problem solving and knowledge. While initially developed in 1956, AI has grown in demand due to big data. AI can be categorized into weak AI, which is designed for specific tasks, and strong AI, which aims for general intelligence. AI has many applications in fields like law, education, business, finance, healthcare and manufacturing. It provides advantages such as increasing work efficiency and reducing costs and errors, but also faces disadvantages like potential misuse if not properly programmed. The future of AI is focused on developing smarter systems through advances in machine learning and deep learning.
The document provides an introduction to artificial intelligence (AI). It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses what intelligence is, including the ability to learn and solve problems, act rationally, and act like humans. It also covers what is involved in intelligence, such as interacting with the real world, reasoning and planning, and learning and adaptation. The document discusses production systems, components of production systems, characteristics of production systems, and types of production systems. It also covers the evolution of AI from neural networks to machine learning to deep learning. Finally, it discusses applications and the future of AI.
Information technology has significantly contributed to India's economic growth. IT allows for the storage, study, retrieval, transmission and manipulation of data. India's IT sector began growing rapidly in the 1990s due to telecom deregulation, the Y2K issue, and the dot-com boom. Today, India has the sixth fastest growing economy in the world, with the IT sector accounting for over 7.5% of GDP and 35% of exports. The IT industry employs over 3 million people and is expected to attract billions in foreign direct investment, demonstrating the important role IT plays in India's economic development.
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
all information about Artificial intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Advantages of AI. Disadvantages of AI. Future best scope of AI. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
Artificial intelligence is applied in many domains including finance, hospitals, heavy industry, telecommunications, gaming, music, and antivirus software. In finance, AI is used for operations, investing, loan investigations and ATM design. In hospitals, AI organizes bed schedules, staff rotation, and provides medical information. Robots are effectively used in heavy industry for dangerous, repetitive, or degrading jobs. Telecommunications companies use AI for workforce scheduling. AI is also applied to video games through bots and to music composition, performance, and sound processing. Antivirus detection has increasingly integrated AI techniques to improve performance.
Artificial intelligence (AI) is an area of computer science focused on creating intelligent machines that can perform tasks like humans. The field was born in 1956 at a workshop where Allen Newell, Herbert Simon, John McCarthy, Marvin Minsky, and Arthur Samuel became the founders of AI research. They and their students produced early programs that could learn checkers strategies, solve word problems in algebra, prove logical theorems, and speak English. By the 1960s, AI research was heavily funded by the Department of Defense and laboratories were established worldwide.
This document defines artificial intelligence and discusses its applications and impact on the future. It provides definitions of AI as the ability of computers to perform tasks commonly associated with human intelligence and simulate human problem solving. The document also discusses how AI will change various industries like entertainment, medicine, cybersecurity and transportation by 2050 through applications like personalized healthcare, autonomous vehicles, enhanced cybersecurity tools and customized virtual entertainment. It emphasizes the importance of AI in enabling computers to harness massive data to make optimal decisions and discoveries faster than humans.
Artificial intelligence (AI) is an area of computer science that emphasizes creating intelligent machines that work like humans. AI involves programming computers for traits like perception, learning, planning, problem solving and knowledge. While initially developed in 1956, AI has grown in demand due to big data. AI can be categorized into weak AI, which is designed for specific tasks, and strong AI, which aims for general intelligence. AI has many applications in fields like law, education, business, finance, healthcare and manufacturing. It provides advantages such as increasing work efficiency and reducing costs and errors, but also faces disadvantages like potential misuse if not properly programmed. The future of AI is focused on developing smarter systems through advances in machine learning and deep learning.
The document provides an introduction to artificial intelligence (AI). It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. It discusses what intelligence is, including the ability to learn and solve problems, act rationally, and act like humans. It also covers what is involved in intelligence, such as interacting with the real world, reasoning and planning, and learning and adaptation. The document discusses production systems, components of production systems, characteristics of production systems, and types of production systems. It also covers the evolution of AI from neural networks to machine learning to deep learning. Finally, it discusses applications and the future of AI.
Information technology has significantly contributed to India's economic growth. IT allows for the storage, study, retrieval, transmission and manipulation of data. India's IT sector began growing rapidly in the 1990s due to telecom deregulation, the Y2K issue, and the dot-com boom. Today, India has the sixth fastest growing economy in the world, with the IT sector accounting for over 7.5% of GDP and 35% of exports. The IT industry employs over 3 million people and is expected to attract billions in foreign direct investment, demonstrating the important role IT plays in India's economic development.
The document discusses the history, goals, current status, and future of artificial intelligence. It defines AI as making computers think intelligently like humans by studying the human brain. The goals of AI are to create expert systems that exhibit intelligent behavior and implement human intelligence in machines. The history of AI includes early foundations in the 1940s and milestones like Deep Blue beating Kasparov in 1997. Current AI is demonstrated in technologies like mobile assistants, robots, and self-driving cars. The future of AI is expected to include more human-level speech recognition and practical applications that digitally recreate human intelligence.
all information about Artificial intelligence.Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving. Advantages of AI. Disadvantages of AI. Future best scope of AI. The ideal characteristic of artificial intelligence is its ability to rationalize and take actions that have the best chance of achieving a specific goal.
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.
Artificial Intelligence Vs Human IntelligenceManikant Rai
While AI researchers are trying to replicate our mental functions, many people are scared that AI will replace them. Hundreds of jobs such as drivers, radiologists and cashiers are facing substitution with machines in the next 5 years. Who’s next? To get a better idea what is coming we need a better understanding in which domains AI is stronger than humans and vice-versa.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
Artificial intelligence pursues creating intelligent machines like humans. Its goals are expert systems that exhibit intelligent behavior and implementing human intelligence in machines. AI contributes to applications like gaming, natural language processing, vision systems, speech recognition, handwriting recognition, and intelligent robots. Cognitive science studies how the mind works and is related to AI. Robotics applies engineering principles to design and build intelligent robots.
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 seminar report discusses artificial intelligence. [1] It provides an introduction defining AI as the intelligence demonstrated by machines and the aim to create machine intelligence. [2] It then outlines some key problems that can be solved through AI like deduction, reasoning, and problem solving. [3] The report also briefly discusses approaches like cybernetics and brain simulation, symbolic approaches, tools like search and optimization, logic, and control theory, as well as languages developed for AI research.
An overview of artificial intelligence from the perspective of a potential venture capital investment: what it is, its history, how it can be used, and what it could mean for the future of various industries and humanity.
Information technology involves the use of computers and software to store, process, transmit, and retrieve information. I.T. has made information widely available through the internet and broadband, allowing automatic operations and saving time. Public opinion recognizes that computer skills are important for school and help students learn at their own pace. I.T. has transformed how people work and created, with applications across industries, education, and in developing countries.
This Provides the Adequate knowledge on Artificial Intelligence (AI). It contains all the design issues to be kept in mind for a new designer of AI with different approaches. Also there are many more applications than specified.. Also for some typical terms pl go through note under the slide which helps in understanding the terms in the slide
Also this PPT is very useful for the students or professors who working on machine learning or AI... As both are go on parallel lines.. after referring to this ppt you may get a clear idea about what is AI and how it is Developed
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.
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
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
PPT presentation on ARTIFICIAL INTELLIGENCEAnushka Ghosh
The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.
Artificial intelligence (AI) is the study of intelligent machines and computer systems that can exhibit human-like intelligence. Some key applications of AI include planning, pattern recognition, robotics, and artificial neural networks. While today's AI systems can perform tasks like face recognition and machine translation, they still cannot understand language as robustly as humans or interpret arbitrary visual scenes. Future advances in AI may allow greater use of expert systems, AI research assistants, and machines that can pass the Turing Test.
Artificial intelligence (AI) is the study and design of intelligent agents, with no single goal. It aims to put human-level intelligence into machines. The document traces the history of AI from its origins in 1941 to modern applications in areas like military, science, business, and entertainment. It discusses early developments like the Dartmouth conference that defined the field, and the creation of languages like Lisp and Prolog. Future developments may lead to more sophisticated AI in video games, self-governing robot societies, and abilities that surpass humans in games like chess, but this also raises ethical questions about controlling advanced AI.
Artificial intelligence (AI) is the field of computer science focusing on creating intelligent machines. Researchers are developing systems that can understand speech, beat humans at chess, and perform other intelligent tasks. The term was first coined in 1956, and since then AI has made advances in areas like machine learning, natural language processing, and robotics. However, fully human-level AI remains an ongoing challenge. Researchers take different approaches, such as attempting to replicate the human brain through neural networks or developing intelligent programs through symbolic reasoning. AI is used today for applications like logistics, data mining, and medical diagnosis.
How artificial intelligence changing the worldUSM Systems
Artificial intelligence is rapidly evolving and changing the world in many ways. AI is being used by many companies to power applications like recommendations, customer service, and advertising. Machine learning allows computers to learn from data and solve complex problems. As AI capabilities continue to advance, it may one day match or exceed human-level intelligence, raising questions around how humans will work with intelligent machines in the future.
https://www.youtube.com/watch?v=wbXEXGT3I9I&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=8
Link of video:
https://www.youtube.com/watch?v=wbXEXGT3I9I
This is a review of the keynote presented by Eric Horvitz, Managing Director, Microsoft, Redmond.
This keynote was presented at Computing Community Consortium in Washington DC on June-07-2016.
Eric has discussed about 3 things in his keynote: Healthcare, Agriculture and Transport.
Mainly he has focussed on Health care.
The goal of AI
Broad Spectrum of Opportunities for AI
Healthcare
Sciences
Transportation
Agriculture
Sustainability
Education
Governance
Criminal justice
Privacy & security
Emergency management
A work conducted in John Hopkins University
References:
http://research.microsoft.com/en-us/um/people/horvitz/AI_supporting_people_and_society_Eric_Horvitz.pdf
https://www.youtube.com/watch?v=rek3jjbYRLo
https://en.wikipedia.org/wiki/Artificial_intelligence
https://en.wikipedia.org/wiki/AI_winter
http://research.microsoft.com/en-us/um/people/horvitz/
This document outlines an introduction to artificial intelligence (AI). It defines AI as the study of intelligent machines and computer programs that can mimic human intelligence. It compares human and AI intelligence and describes various AI methods like knowledge-based systems and neural networks. It discusses the motivation for AI and its wide-ranging applications in fields like finance, medicine, industries, telecommunications, music, robotics and more. It also addresses the explosive growth of AI, its advantages in performing dangerous tasks, and limitations in not fully replicating human intelligence.
Intelligence: “The capacity to learn and solve problems.”
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Till now we have discussed in brief about Artificial Intelligence.
We have discussed some of its principles, its applications, its achievements etc.
The ultimate goal of institutions and scientists working of AI is to solve majority of the problems or to achieve the tasks which we humans directly can’t accomplish.
It is for sure that development in this field of computer science will change the complete scenario of the world. Now it is the responsibility of creamy layer of engineers to develop this field.
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.
Artificial Intelligence Vs Human IntelligenceManikant Rai
While AI researchers are trying to replicate our mental functions, many people are scared that AI will replace them. Hundreds of jobs such as drivers, radiologists and cashiers are facing substitution with machines in the next 5 years. Who’s next? To get a better idea what is coming we need a better understanding in which domains AI is stronger than humans and vice-versa.
A brief history of artificial intelligence for businessJack C Crawford
Since the 1960s, Artificial Intelligence has promised us benefits in business and in our personal lives. This presentation takes us from the early days up to machine learning and applications for enterprise businesses that are delivering personalized experiences to customers ... to a "segment of one."
Artificial intelligence pursues creating intelligent machines like humans. Its goals are expert systems that exhibit intelligent behavior and implementing human intelligence in machines. AI contributes to applications like gaming, natural language processing, vision systems, speech recognition, handwriting recognition, and intelligent robots. Cognitive science studies how the mind works and is related to AI. Robotics applies engineering principles to design and build intelligent robots.
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 seminar report discusses artificial intelligence. [1] It provides an introduction defining AI as the intelligence demonstrated by machines and the aim to create machine intelligence. [2] It then outlines some key problems that can be solved through AI like deduction, reasoning, and problem solving. [3] The report also briefly discusses approaches like cybernetics and brain simulation, symbolic approaches, tools like search and optimization, logic, and control theory, as well as languages developed for AI research.
An overview of artificial intelligence from the perspective of a potential venture capital investment: what it is, its history, how it can be used, and what it could mean for the future of various industries and humanity.
Information technology involves the use of computers and software to store, process, transmit, and retrieve information. I.T. has made information widely available through the internet and broadband, allowing automatic operations and saving time. Public opinion recognizes that computer skills are important for school and help students learn at their own pace. I.T. has transformed how people work and created, with applications across industries, education, and in developing countries.
This Provides the Adequate knowledge on Artificial Intelligence (AI). It contains all the design issues to be kept in mind for a new designer of AI with different approaches. Also there are many more applications than specified.. Also for some typical terms pl go through note under the slide which helps in understanding the terms in the slide
Also this PPT is very useful for the students or professors who working on machine learning or AI... As both are go on parallel lines.. after referring to this ppt you may get a clear idea about what is AI and how it is Developed
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.
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
A Seminar Report on Artificial IntelligenceAvinash Kumar
This is a seminar report on Artificial Intelligence. This is mainly concerned for engineering projects & reports. This is actually done for presentation purpose.
PPT presentation on ARTIFICIAL INTELLIGENCEAnushka Ghosh
The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.
Artificial intelligence (AI) is the study of intelligent machines and computer systems that can exhibit human-like intelligence. Some key applications of AI include planning, pattern recognition, robotics, and artificial neural networks. While today's AI systems can perform tasks like face recognition and machine translation, they still cannot understand language as robustly as humans or interpret arbitrary visual scenes. Future advances in AI may allow greater use of expert systems, AI research assistants, and machines that can pass the Turing Test.
Artificial intelligence (AI) is the study and design of intelligent agents, with no single goal. It aims to put human-level intelligence into machines. The document traces the history of AI from its origins in 1941 to modern applications in areas like military, science, business, and entertainment. It discusses early developments like the Dartmouth conference that defined the field, and the creation of languages like Lisp and Prolog. Future developments may lead to more sophisticated AI in video games, self-governing robot societies, and abilities that surpass humans in games like chess, but this also raises ethical questions about controlling advanced AI.
Artificial intelligence (AI) is the field of computer science focusing on creating intelligent machines. Researchers are developing systems that can understand speech, beat humans at chess, and perform other intelligent tasks. The term was first coined in 1956, and since then AI has made advances in areas like machine learning, natural language processing, and robotics. However, fully human-level AI remains an ongoing challenge. Researchers take different approaches, such as attempting to replicate the human brain through neural networks or developing intelligent programs through symbolic reasoning. AI is used today for applications like logistics, data mining, and medical diagnosis.
How artificial intelligence changing the worldUSM Systems
Artificial intelligence is rapidly evolving and changing the world in many ways. AI is being used by many companies to power applications like recommendations, customer service, and advertising. Machine learning allows computers to learn from data and solve complex problems. As AI capabilities continue to advance, it may one day match or exceed human-level intelligence, raising questions around how humans will work with intelligent machines in the future.
https://www.youtube.com/watch?v=wbXEXGT3I9I&list=PLqJzTtkUiq54DDEEZvzisPlSGp_BadhNJ&index=8
Link of video:
https://www.youtube.com/watch?v=wbXEXGT3I9I
This is a review of the keynote presented by Eric Horvitz, Managing Director, Microsoft, Redmond.
This keynote was presented at Computing Community Consortium in Washington DC on June-07-2016.
Eric has discussed about 3 things in his keynote: Healthcare, Agriculture and Transport.
Mainly he has focussed on Health care.
The goal of AI
Broad Spectrum of Opportunities for AI
Healthcare
Sciences
Transportation
Agriculture
Sustainability
Education
Governance
Criminal justice
Privacy & security
Emergency management
A work conducted in John Hopkins University
References:
http://research.microsoft.com/en-us/um/people/horvitz/AI_supporting_people_and_society_Eric_Horvitz.pdf
https://www.youtube.com/watch?v=rek3jjbYRLo
https://en.wikipedia.org/wiki/Artificial_intelligence
https://en.wikipedia.org/wiki/AI_winter
http://research.microsoft.com/en-us/um/people/horvitz/
This document outlines an introduction to artificial intelligence (AI). It defines AI as the study of intelligent machines and computer programs that can mimic human intelligence. It compares human and AI intelligence and describes various AI methods like knowledge-based systems and neural networks. It discusses the motivation for AI and its wide-ranging applications in fields like finance, medicine, industries, telecommunications, music, robotics and more. It also addresses the explosive growth of AI, its advantages in performing dangerous tasks, and limitations in not fully replicating human intelligence.
Intelligence: “The capacity to learn and solve problems.”
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think like humans and mimic their actions. The term may also be applied to any machine that exhibits traits associated with a human mind such as learning and problem-solving.
Till now we have discussed in brief about Artificial Intelligence.
We have discussed some of its principles, its applications, its achievements etc.
The ultimate goal of institutions and scientists working of AI is to solve majority of the problems or to achieve the tasks which we humans directly can’t accomplish.
It is for sure that development in this field of computer science will change the complete scenario of the world. Now it is the responsibility of creamy layer of engineers to develop this field.
This document provides an introduction to artificial intelligence (AI) and how it can simplify daily life. It defines AI as the simulation of human intelligence by machines, including abilities like problem-solving, rational thinking, and acting like humans. The document discusses examples of AI like Alexa and Siri, the history of AI, applications of AI in medicine, telecommunications and gaming. It also outlines advantages of AI like reducing human error and disadvantages like potential job losses. The conclusion is that continued development of AI by engineers will change the world and help solve problems humans cannot.
Artificial intelligence (AI) refers to the simulation of human intelligence in machines programmed to think like humans. AI involves machines that can learn and solve problems like humans. The document discusses the definition of AI, its history, need, applications in areas like medicine, telecommunications and gaming. It also outlines advantages of AI such as reducing human error and disadvantages including potential lack of creativity. The future scope of AI is discussed as biological intelligence is limited while non-biological computation through AI is growing exponentially.
John McCarthy is considered the father of artificial intelligence. He coined the term "artificial intelligence" in 1955 and defined it as "the science and engineering of making intelligent machines." There are four main types of AI: reactive machines, limited memory, theory of mind, and self-awareness. Recent advances in AI include natural language generation, speech recognition, virtual agents, decision management, biometrics, machine learning, robotic process automation, and peer-to-peer networks. While AI offers advantages like reducing task time and enabling complex tasks at low cost, some experts are concerned it may lead to a loss of skills in people by automating repetitive jobs.
What really is Artificial Intelligence about? Harmony Kwawu
AI systems are growing. But what is AI, where did the idea behind it come from, what is intelligence, how does expert level intelligence work, and perhaps most importantly, would AI systems eventually make human beings redundant?
Presentación sobre inteligencia artificial. Los neofito dueños del sitio quieren hacerse millonarios a costa del esfuerzo de los usuarios. Lo malo es que no le dan ni un solo peso al usuario que sube sus trabajos. Sin embargo ellos les cobra a los demás U$s 100 por mes.
The document discusses the history of artificial intelligence from its origins in the 1940s to modern applications. It describes several key early developments, including the first artificial neuron model (1943), the proposal of the Turing Test (1950), and the coining of the term "artificial intelligence" at the Dartmouth Conference (1956). The document also notes periods of growth and funding declines ("AI winters") for the field throughout its development. Overall, the history shows steady progress in AI from its theoretical beginnings to impactful applications today.
Artificial intelligence is applied in many domains including finance, hospitals, heavy industry, telecommunications, gaming, music, and antivirus software. In finance, AI is used for operations, investing, loan investigations and ATM design. In hospitals, AI organizes bed schedules, staff rotation, and provides medical information. Robots are effectively used in heavy industry for dangerous, repetitive, or degrading jobs. Telecommunications companies use AI for workforce scheduling. AI is also applied to video games through bots and to music composition, performance, and sound processing. Antivirus detection has increasingly integrated AI techniques to improve performance.
Artificial intelligence (AI) is a branch of computer science that aims to create intelligent machines that can perform tasks that typically require human intelligence. AI exists when a machine can have human skills like learning, reasoning, and problem solving. The goals of AI include replicating human intelligence, solving knowledge-intensive tasks, and building machines that can perform intelligent tasks like proving theorems, playing chess, or driving a car. AI has advantages like high accuracy, speed, reliability for risky tasks, and creating digital assistants, but also disadvantages like high costs and an inability think outside programmed parameters.
The document provides an overview of artificial intelligence (AI), including its history, definition, examples, advantages, and disadvantages. It traces the origins of AI concepts back to ancient Greece and discusses early milestones like the Turing test. Examples of modern AI applications mentioned include Google Maps, facial recognition, chatbots, and automated payments. While AI can reduce human error and perform dangerous tasks, disadvantages include high costs and an inability to think creatively.
Artificial intelligence is the branch of computer science dealing with intelligent machines. There are two main methods of AI: symbolic AI which focuses on knowledge-based systems, and computational intelligence which includes neural networks, fuzzy systems, and evolutionary computing. Important early pioneers of AI included John McCarthy, Alan Turing, and researchers at Stanford. AI is being applied in many areas including cars, banking, phones, the internet, medicine, games, military, and more. While predicting the future is difficult, gradual advances will continue and AI may match human level intelligence in the coming decades, though jobs and work will continue to be impacted by intelligent technologies.
Artificial intelligence (AI) refers to machines that can mimic human behavior and cognition. Weak AI is designed to perform specific tasks, while strong AI aims to have general human-level intelligence. AI is being used across industries like healthcare for drug dosing and surgery assistance. Some concerns about advanced AI include machines becoming too intelligent and autonomous or being used for privacy hacking or weapons.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines different methods of AI such as symbolic AI, neural networks, and computational intelligence. It also discusses a wide range of applications of AI such as finance, medicine, gaming, robotics, and more. Finally, it discusses some achievements of AI and envisions continued growth and importance of AI in the future.
This document provides an overview of artificial intelligence (AI), including definitions, a brief history, methods, applications, achievements, and the future of AI. It defines AI as the science and engineering of making intelligent machines, especially intelligent computer programs. The document outlines two categories of AI methods - symbolic AI and computational intelligence - and discusses applications of AI in domains like finance, medicine, gaming, and robotics. It also notes some achievements of AI and predicts that AI will continue growing exponentially and potentially change the world.
Artificial intelligence, sometimes referred to as AI, is the emulation of human intellect in computers that have been designed to learn, understand, and solve problems similarly to humans. Due to its impressive uses and potential to completely transform a number of sectors, it has recently experienced a huge surge in popularity and attention.
Artificial intelligence submitted by shivShiv Bindal
This 100-hour project report on artificial intelligence provides an overview of the topic in 3 sentences:
It discusses the history and development of AI from the 1950s to the present, covering major figures, technologies and applications such as expert systems, game playing, and robotics. The report also examines different branches, categories and goals of AI as well as examples like smart cars, smartphones and its use in movies and the military. In conclusion, the report addresses both the advantages and disadvantages of AI while acknowledging its potential though also noting it has not yet fulfilled all expectations.
The document discusses the 60th anniversary of CCITT/ITU-T and artificial intelligence. It notes that 10 mobile/cloud companies achieving $4 trillion in market cap and that China's AI market is $337 billion. It discusses how AI is driving unprecedented changes through hyper time compression of innovations and extreme convergence across multiple domains. AI is also helping to track progress on the UN's Sustainable Development Goals. The ITU is partnering with IBM Watson on AI initiatives and standards are being discussed. Overall, the document outlines how AI is massively impacting the economy, society and driving disruption through new technologies.
The Disadvantages Of Artificial IntelligenceAngela Hays
Artificial intelligence is becoming increasingly important in technology and transforming societies. While AI brings benefits like improved efficiency and productivity, it also poses risks like job disruption and increased inequality. Overall, whether AI improves or worsens societies will depend on how its development and application are guided.
Cyberbullying is when a person use the internet, cell phones ,or other technological devices to send or post text or images intended to hurt, embarrass, threaten, torment, humiliate, or intimidate their victim. Cyberbullying is when a person use the internet, cell phones ,or other technological devices to send or post text or images intended to hurt, embarrass, threaten, torment, humiliate, or intimidate their victim
Population genetics is a sub field of genetics that deals with genetic differences within and between populations, and is a part of Evolutionary biology.
Bir sreshthos of liberation war of bangladeshShipat Bhuiya
The Bir Sreshtho, is the highest military award of Bangladesh. It was awarded to seven freedom fighters who showed utmost bravery and died in action for their nation.
C was developed in the early 1970s by Dennis Ritchie at Bell Labs as an evolution of ALGOL, BCPL, and B programming languages. It became widely popular after the publication of "The C Programming Language" book in 1978. C was later standardized as ANSI C in 1989 and ISO/IEC 9899 in 1990. The language continued to evolve with extensions and refinements such as C99. C remains one of the most widely used programming languages due to its portability and role in developing operating systems like UNIX.
A galaxy is a large group of stars, gas, and dust held together by gravity. The three main types of galaxies are elliptical, spiral, and irregular galaxies. A spiral galaxy has a central bulge and outer disk with spiral arms. The Milky Way galaxy is a large barred spiral galaxy that contains our solar system. A star is a luminous ball of gas that produces energy through nuclear fusion at its core. There are several stages in a star's life including protostars, main sequence stars, red giants, and white dwarfs.
The document traces the evolution of mobile phones from 1983 to 2017, highlighting some key phones from that history. It describes the Motorola DynaTAC from 1983 as the first commercial cellular phone, as well as early innovations like flip phones and touchscreens. Major milestones included the first camera phone in 2002, the first iPhone in 2007 introducing the modern smartphone format, and recent flagship phones like the LG G6 and Samsung Galaxy S7 Edge. The document provides brief descriptions of the features and specifications of these influential mobile phones over the decades.
1) Mathematics involves simple concepts taught in class that become increasingly complex in homework and exams, confusing and frustrating students.
2) Some see mathematics as a series of tricks and proofs that seem nonsensical but have internal logic, such as proving 1 = 0.99999 or that 0/0 = 2.
3) Mathematics is presented in life through formulas, equations, and examples that can be applied to problems such as calculating large numbers in your head, determining someone's age based on their multiplication skills, or using mathematical identities or properties to simplify expressions.
The document provides a history of Bangladesh cricket, including key events and cricketers. It details Bangladesh playing its first ODI in 1986 and qualifying for the 1988 Asia Cup. In 1997, Bangladesh won the ICC Trophy to qualify for its first Cricket World Cup in 1999, where they defeated Pakistan. Several prominent Bangladeshi cricketers are profiled, including Mohammad Rafique, Mashrafe Mortaza, Tamim Iqbal, Shakib Al Hasan, and Mustafizur Rahman.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptxMAGOTI ERNEST
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
Describing and Interpreting an Immersive Learning Case with the Immersion Cub...Leonel Morgado
Current descriptions of immersive learning cases are often difficult or impossible to compare. This is due to a myriad of different options on what details to include, which aspects are relevant, and on the descriptive approaches employed. Also, these aspects often combine very specific details with more general guidelines or indicate intents and rationales without clarifying their implementation. In this paper we provide a method to describe immersive learning cases that is structured to enable comparisons, yet flexible enough to allow researchers and practitioners to decide which aspects to include. This method leverages a taxonomy that classifies educational aspects at three levels (uses, practices, and strategies) and then utilizes two frameworks, the Immersive Learning Brain and the Immersion Cube, to enable a structured description and interpretation of immersive learning cases. The method is then demonstrated on a published immersive learning case on training for wind turbine maintenance using virtual reality. Applying the method results in a structured artifact, the Immersive Learning Case Sheet, that tags the case with its proximal uses, practices, and strategies, and refines the free text case description to ensure that matching details are included. This contribution is thus a case description method in support of future comparative research of immersive learning cases. We then discuss how the resulting description and interpretation can be leveraged to change immersion learning cases, by enriching them (considering low-effort changes or additions) or innovating (exploring more challenging avenues of transformation). The method holds significant promise to support better-grounded research in immersive learning.
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...Travis Hills MN
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
2. What Is ARTIFICIAL INTELLIGENCE ?
Artificial intelligence is the simulation of human
intelligence processes by machines, especially
computer systems.
3. History Of A.I
• The first work that is now generally recognized as AI
was McCullouch and Pitts' 1943 formal design
for Turing complete "artificial neurons".
• The field of AI research was born at a
workshop at Dartmouth College in 1956.
• In the early 1980s, AI research was revived by the
commercial success of expert systems.
4. Application of A.I
• Finance and Banking
• Music
• Healthcare and Medicine
• Heavy industries
• Antivirus
• Gaming
5. Finance and Banking
• Financial institutions have long
used artificial neural network systems to
detect charges or claims outside of the
norm.
• Banks use artificial intelligence systems
today to organize operations, maintain
book-keeping, invest in stocks, and
manage properties.
• Some other applications in this section
include loan investigation, ATM design,
safe and fast banking etc.
6. Music
• Scientist are trying to make the
computer emulate the activities of the
skillful musician.
• Composition, performance, music
theory, sound processing are some of
the major areas on which research in
music and artificial intelligence are
focusing on.
7. Healthcare and
Medicine
• Artificial intelligence is breaking into the
healthcare industry by assisting doctors.
• Microsoft has developed AI to help doctors
find the right treatments for cancer.
8. Heavy Industries
• Industrial AI can be embedded to
existing products or services to
make them more effective, reliable,
safer, and last longer.
• Industrial AI can create new
products and novel business models.
9. Antivirus
• Artificial intelligence techniques have played
increasingly important role in antivirus detection. At
present, some principal artificial intelligence
techniques applied in antivirus detection.
• It improves the performance of antivirus detection
systems and promotes the production of new
artificial intelligence algorithm.
10. Gaming
• In the earlier days gaming technology was not
broadened. Physicist Willy Higinbotham created the
first video game in 1958. It was called “Tennis For
Two” and was plan oscilloscope. But now AI
technology has become vast and standard has also
been increased .
EX: Sudoku, Fear, Fallout etc.
11. The Explosive Growth of AI
Since AI is applicable in almost all fields, they become
the needs our life. It is the reason behind the explosive
growth of AI.
The growth can be divided into two parts
• Growth in positive sense(useful to society)
• Growth in negative sense(harmful to society)
12. Future of AI
• Looking at the features and its wide application we may definitely stick to
artificial intelligence. Seeing the development of AI ,is it that future world
is becoming artificial.
• The memory capacity of the human brain is probably of the order of ten
thousand million binary digits. But most of this probably used in
remembering visual impressions and other comparatively wasteful ways.