A.I. refers to the capability of machines to imitate intelligent human behavior. The history of A.I. began in the 1950s but has improved greatly in recent decades with advances like Sophia robot. A.I. is needed because humans have physical limitations, while robots can perform dangerous jobs. A.I. is created through a combination of programming, hardware, and sensors. It has many applications like healthcare, education, industry, finance, and customer support. While A.I. provides benefits like low error rates and replacing humans in dangerous jobs, there are also disadvantages such as high costs, lack of creativity, and potential unemployment. The future of A.I. could include automated transportation, cyborg technology
Artificial intelligence (AI) is the ability of machines to mimic human intelligence and behavior. The document discusses the history and foundations of AI, including attempts to define intelligence and understand how the human brain works. It outlines four approaches to AI: systems that act humanly by passing the Turing test, systems that think humanly by modeling cognitive processes, and systems that act or think rationally. The document also discusses intelligent agents, knowledge-based systems, and applications of AI such as game playing and machine translation.
The document provides an overview of artificial intelligence (AI), including its history, goals, categories, fields of application, and future scope. It discusses how AI originated in the 1950s and has since been applied in many domains, such as games, speech recognition, and healthcare. The document also outlines the goals of simulating intelligence through traits like reasoning, knowledge representation, and planning. It describes the two main categories of AI as conventional and computational intelligence. Finally, it proposes that while narrow applications will continue advancing, general artificial intelligence remains a long-term challenge.
This document provides an overview of artificial intelligence (AI) and its future. It defines AI as making intelligent machines and outlines its history from Alan Turing's work in the 1950s to modern applications like voice assistants. The document also discusses benefits of AI like home automation and advancements in transportation and search. However, it notes risks such as unemployment and autonomous war machines turning against humans. It concludes that AI is increasingly integrated into technology and daily life and will continue expanding, possibly resulting in super intelligent systems available across many areas.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
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.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This document discusses artificial intelligence and robotics. It begins with definitions of AI from early researchers like John McCarthy and Alan Turing. It then discusses the history and development of AI, including important figures and programming languages. Applications of robotics are outlined in various fields like industrial uses, medical care, and entertainment. The document also explores how AI works with robots through natural language processing. It concludes by discussing the future of AI and warnings about potential issues that may arise from advanced AI systems.
Artificial intelligence (AI) is the ability of machines to mimic human intelligence and behavior. The document discusses the history and foundations of AI, including attempts to define intelligence and understand how the human brain works. It outlines four approaches to AI: systems that act humanly by passing the Turing test, systems that think humanly by modeling cognitive processes, and systems that act or think rationally. The document also discusses intelligent agents, knowledge-based systems, and applications of AI such as game playing and machine translation.
The document provides an overview of artificial intelligence (AI), including its history, goals, categories, fields of application, and future scope. It discusses how AI originated in the 1950s and has since been applied in many domains, such as games, speech recognition, and healthcare. The document also outlines the goals of simulating intelligence through traits like reasoning, knowledge representation, and planning. It describes the two main categories of AI as conventional and computational intelligence. Finally, it proposes that while narrow applications will continue advancing, general artificial intelligence remains a long-term challenge.
This document provides an overview of artificial intelligence (AI) and its future. It defines AI as making intelligent machines and outlines its history from Alan Turing's work in the 1950s to modern applications like voice assistants. The document also discusses benefits of AI like home automation and advancements in transportation and search. However, it notes risks such as unemployment and autonomous war machines turning against humans. It concludes that AI is increasingly integrated into technology and daily life and will continue expanding, possibly resulting in super intelligent systems available across many areas.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
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.
Make And Designed by Muhammad Muttaiyab Ahmad & Muhammad Nasir Yousaf
The Best Presentation in Slides Share on Artificial Intelligence.
Professors give them 100% out of 100%
This is the quality of presentation that can revel all parts of Artificial Intelligence from Each and every example that should be added, that is already added in which.
This document discusses artificial intelligence and robotics. It begins with definitions of AI from early researchers like John McCarthy and Alan Turing. It then discusses the history and development of AI, including important figures and programming languages. Applications of robotics are outlined in various fields like industrial uses, medical care, and entertainment. The document also explores how AI works with robots through natural language processing. It concludes by discussing the future of AI and warnings about potential issues that may arise from advanced AI systems.
Artificial intelligence aims to make computers think intelligently like humans by borrowing characteristics from human intelligence. The document discusses the history of AI from its origins in the 1950s to modern applications. It also covers different types of AI like neural networks and robotics. Robotics is described as a branch of AI that designs intelligent machines to operate in the real world using sensors. The document concludes that while AI is still limited compared to fiction, it has many applications today and may lead to a future with robot-dominated societies.
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.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Artificial intelligence is a branch of computer science that aims to create intelligent machines that can think and act like humans. It uses techniques like neural networks and machine learning to solve complex problems. AI has many applications including healthcare, gaming, data security, social media, transportation, robotics, education and more. While it offers benefits like accuracy, speed and reliability, it also faces limitations such as high costs, limited abilities and lack of original creativity.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
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'
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial intelligence is the study of making machines that can think and act like humans by learning and solving problems on their own. Some applications of AI include game playing, speech recognition, expert systems, computer vision, and robotics. AI has many advantages such as high speed, accuracy, and its use in areas like medical diagnosis, the military, and self-driving cars. However, some disadvantages are concerns about AI systems potentially posing threats if they become too intelligent or autonomous and replace human jobs.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
This document discusses humanoid robots, including their history, composition, types, and applications. It focuses on simulating a humanoid robot in a 3D environment and forming a control system using PID and fuzzy control. PID control aims to minimize error using proportional, integral, and derivative gains. Fuzzy control maps sensor inputs, processes results, and outputs conversions. Together, PID and fuzzy control allow the robot to maintain error/speed and position itself parallel to objects. Potential applications of humanoid robots include safe load carrying and cooperative object movement.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
This document provides an introduction to artificial intelligence including definitions of AI, categories of AI systems, requirements for an artificially intelligent system, a brief history of AI, examples of AI in the real world, definitions of intelligent agents and different types of agent programs. It defines AI as the study of intelligent behavior in computational processes and how to make computers capable of tasks that humans currently perform better. It outlines categories of systems that think like humans rationally, or act like humans rationally. It also describes the requirements for a system to exhibit intelligent behavior through natural language processing, knowledge representation, reasoning, and machine learning.
Humanoid robots are designed to resemble the human form with a torso, head, two arms and two legs. They were first created in the 1970s by Waseda University and have continued to evolve, with notable examples including Honda's ASIMO and NASA's ROBONAUT. While humanoid robots can perform some tasks like humans such as locomotion, they still lack human-level cognition and emotions. Researchers are working to develop more stable bipedal movement and advanced cognition in humanoid robots, but they remain limited compared to human abilities. The document concludes that as technology improves, humanoid robots will find new applications but still have inherent defects compared to humans.
The document discusses robots and robotics. It defines a robot and explains that the word robot was coined by Czech playwright Karel Capek from the Czech word for forced labor or serf. It also outlines Isaac Asimov's Three Laws of Robotics, which govern a robot's behavior. The document discusses various applications of robots, including in NASA's telerobotics program, industrial uses, surgery, dangerous situations, and more.
The document discusses human intelligence and artificial intelligence (AI). It defines human intelligence as comprising abilities such as learning, understanding language, perceiving, reasoning, and feeling. AI is defined as the science and engineering of making machines intelligent, especially computer programs. It involves developing systems that exhibit traits associated with human intelligence such as reasoning, learning, interacting with the environment, and problem solving. The document outlines the history of AI and discusses approaches to developing systems that think like humans or rationally. It also covers applications of AI such as natural language processing, expert systems, robotics, and more.
Artificial intelligence (AI) is the study and creation of intelligent machines and software. The document discusses the history and goals of AI, including how it was founded in the 1950s and experienced periods of increased and decreased funding. It also covers what intelligence is, definitions of artificial intelligence, tools and applications of AI in various industries, as well as the pros and cons of AI technology.
It is a slide on artificial intilligence.You have to describe these point. This slide can use also student of CSE,EEE and othe engennering subjects.This presentation is a group presentation if anyone want to make it individually then he or she has to reduce the number of slides.By using this silde on can be talk at least 10 minute at presentation time
Artificial intelligence works by ingesting large amounts of labeled training data to analyze for patterns and correlations. These patterns are used to make predictions about future states. There are four types of AI: 1) Reactive Machines that perform basic operations without learning; 2) Limited Memory types that can store previous data/predictions to make better predictions; 3) Theory of Mind types that begin to interact with human thoughts and emotions; and 4) hypothetical Self Aware types with independent intelligence. The document discusses several applications of AI including healthcare for drug development, robotics for delivery, and education for automating administrative tasks.
Artificial intelligence aims to make computers think intelligently like humans by borrowing characteristics from human intelligence. The document discusses the history of AI from its origins in the 1950s to modern applications. It also covers different types of AI like neural networks and robotics. Robotics is described as a branch of AI that designs intelligent machines to operate in the real world using sensors. The document concludes that while AI is still limited compared to fiction, it has many applications today and may lead to a future with robot-dominated societies.
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.
This presentation provides an overview of artificial intelligence (AI), including its definition, introduction, foundations, advantages, applications, and limitations. AI is defined as the intelligence demonstrated by machines and the branch of computer science which aims to create intelligent agents. The presentation traces the foundations of AI through various fields such as philosophy, mathematics, neuroscience, and computer engineering. It also outlines the advantages of AI, such as reducing errors and exploring new possibilities, and the potential disadvantages like overreliance on AI and job losses. The presentation concludes that while AI tools can help solve problems, they cannot replace human capabilities.
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
Artificial intelligence is a branch of computer science that aims to create intelligent machines that can think and act like humans. It uses techniques like neural networks and machine learning to solve complex problems. AI has many applications including healthcare, gaming, data security, social media, transportation, robotics, education and more. While it offers benefits like accuracy, speed and reliability, it also faces limitations such as high costs, limited abilities and lack of original creativity.
Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
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'
Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs. There are four main schools of thought in AI: thinking humanly, thinking rationally, acting humanly, and acting rationally. Popular techniques used in AI include machine learning, deep learning, and natural language processing. The document then discusses the growth of AI and its applications in various domains like healthcare, law, education, and more. It also lists the top companies leading the development of AI like DeepMind, Google, Facebook, Microsoft, and others. Finally, it provides perspectives on the future impact and adoption of AI.
Artificial intelligence is the study of making machines that can think and act like humans by learning and solving problems on their own. Some applications of AI include game playing, speech recognition, expert systems, computer vision, and robotics. AI has many advantages such as high speed, accuracy, and its use in areas like medical diagnosis, the military, and self-driving cars. However, some disadvantages are concerns about AI systems potentially posing threats if they become too intelligent or autonomous and replace human jobs.
This document discusses artificial intelligence and its components. It begins with definitions of artificial intelligence as making computers behave like humans and as the intelligence exhibited by machines. The field was founded in 1956 at a conference where leaders like John McCarthy established AI research. The components discussed include playing games like chess, developing expert systems, natural language processing, and robotics. It provides examples of computers defeating humans at chess and the use of robots in manufacturing.
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.
Human intelligence is the intellectual powers of humans, Learning
Decision Making
Solve Problems
Feelings(Love,Happy,Angry)
Understand
Apply logic
Experience
making a computer, a computer-controlled robot, or a software think intelligently, in the similar manner the intelligent humans think.
Robots are autonomous or semi-autonomous machines meaning that they can act independently of external commands. Artificial intelligence is software that learns and self-improves.
Why Artificial Intelligence?
• Computers can do computations, by fixed programmed rules
• A.I machines perform tedious tasks efficiently & reliably.
• computers can’t understanding & adapting to new situations.
• A.I aims to improve machine to do such complex tasks.
Advantages of A.I:
Error Reduction
Difficult Exploration(mining & exploration processes)
Daily Application(Siri, Cortana)
Digital Assistants(interact with users)
Medical Applications(Radiosurgery)
Repetitive Jobs(monotonous)
No Breaks
Some disadvantages of A.I:
High Cost
Unemployment
Weaponization
No Replicating Humans
No Original Creativity
No Improvement with Experience
Safety/Privacy Issues
Artificial intelligence will be a Greatest invention Until Machines under the human control. Otherwise The new ERA will be There…..!
This document discusses humanoid robots, including their history, composition, types, and applications. It focuses on simulating a humanoid robot in a 3D environment and forming a control system using PID and fuzzy control. PID control aims to minimize error using proportional, integral, and derivative gains. Fuzzy control maps sensor inputs, processes results, and outputs conversions. Together, PID and fuzzy control allow the robot to maintain error/speed and position itself parallel to objects. Potential applications of humanoid robots include safe load carrying and cooperative object movement.
The document discusses various applications of artificial intelligence including in web technologies, medicine, transportation, heavy industry, and more. It provides definitions of AI and the Turing test. It also outlines several computer science applications of AI such as natural language processing, computer vision, knowledge representation, and data mining.
This document provides an introduction to artificial intelligence including definitions of AI, categories of AI systems, requirements for an artificially intelligent system, a brief history of AI, examples of AI in the real world, definitions of intelligent agents and different types of agent programs. It defines AI as the study of intelligent behavior in computational processes and how to make computers capable of tasks that humans currently perform better. It outlines categories of systems that think like humans rationally, or act like humans rationally. It also describes the requirements for a system to exhibit intelligent behavior through natural language processing, knowledge representation, reasoning, and machine learning.
Humanoid robots are designed to resemble the human form with a torso, head, two arms and two legs. They were first created in the 1970s by Waseda University and have continued to evolve, with notable examples including Honda's ASIMO and NASA's ROBONAUT. While humanoid robots can perform some tasks like humans such as locomotion, they still lack human-level cognition and emotions. Researchers are working to develop more stable bipedal movement and advanced cognition in humanoid robots, but they remain limited compared to human abilities. The document concludes that as technology improves, humanoid robots will find new applications but still have inherent defects compared to humans.
The document discusses robots and robotics. It defines a robot and explains that the word robot was coined by Czech playwright Karel Capek from the Czech word for forced labor or serf. It also outlines Isaac Asimov's Three Laws of Robotics, which govern a robot's behavior. The document discusses various applications of robots, including in NASA's telerobotics program, industrial uses, surgery, dangerous situations, and more.
The document discusses human intelligence and artificial intelligence (AI). It defines human intelligence as comprising abilities such as learning, understanding language, perceiving, reasoning, and feeling. AI is defined as the science and engineering of making machines intelligent, especially computer programs. It involves developing systems that exhibit traits associated with human intelligence such as reasoning, learning, interacting with the environment, and problem solving. The document outlines the history of AI and discusses approaches to developing systems that think like humans or rationally. It also covers applications of AI such as natural language processing, expert systems, robotics, and more.
Artificial intelligence (AI) is the study and creation of intelligent machines and software. The document discusses the history and goals of AI, including how it was founded in the 1950s and experienced periods of increased and decreased funding. It also covers what intelligence is, definitions of artificial intelligence, tools and applications of AI in various industries, as well as the pros and cons of AI technology.
It is a slide on artificial intilligence.You have to describe these point. This slide can use also student of CSE,EEE and othe engennering subjects.This presentation is a group presentation if anyone want to make it individually then he or she has to reduce the number of slides.By using this silde on can be talk at least 10 minute at presentation time
Artificial intelligence works by ingesting large amounts of labeled training data to analyze for patterns and correlations. These patterns are used to make predictions about future states. There are four types of AI: 1) Reactive Machines that perform basic operations without learning; 2) Limited Memory types that can store previous data/predictions to make better predictions; 3) Theory of Mind types that begin to interact with human thoughts and emotions; and 4) hypothetical Self Aware types with independent intelligence. The document discusses several applications of AI including healthcare for drug development, robotics for delivery, and education for automating administrative tasks.
Artificial Intelligence
The document provides an overview of artificial intelligence, including its definition, history, current status, future possibilities, and challenges. It defines AI as the study of computer systems that attempt to model human intelligence. The history notes Alan Turing's seminal work in the 1950s and the founding of AI at the 1955 Dartmouth workshop by John McCarthy. Currently, AI is used in applications like mobile phones, games, GPS, robotics, and more. The future may include AI assisting in education, media, customer service, transportation, manufacturing, and healthcare. However, challenges remain around issues like data bias, storage needs, and unemployment.
This document provides an introduction to artificial intelligence, including definitions and explanations of key concepts. It defines AI as making computers behave like humans through techniques like machine learning, reasoning, and problem solving. It then discusses narrow AI which focuses on specific tasks, general AI that can understand any intellectual task, and super AI that surpasses human intelligence. The document also covers reactive machines, limited memory AI, and the theory of mind approach. The overall summary is that the document serves as an introductory overview of the basics of artificial intelligence.
This document discusses artificial intelligence and robotics. It begins by defining artificial intelligence as the ability of computers to learn and solve problems autonomously through algorithms. The document then covers the history and goals of AI, including reasoning, knowledge representation, and learning. It provides examples of modern AI applications and envisions further advances in areas like speech and image recognition. The document also defines robotics and discusses how AI relates to robot sensors, effectors, architecture, and information processing. It concludes by addressing myths about AI and arguing that potential dangers depend more on human decisions about machine goals than the technology itself.
Artificial intelligence training in hyderabadArjun_Raghu
Integrum Litera providing Artificial Intelligence Training in Hyderabad.Get familiar with the most trending technologies on the planet through Integrum Litera’s most exclusive and technology-infused certification programs in Data Science, Data Analytics, Machine Learning, Neural Networks, Deep learning, Robotics & Automation technologies.
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.
The document discusses artificial intelligence (AI), defined as simulating human intelligence through machine learning and problem solving. It outlines key principles of AI including reasoning, knowledge, planning, learning and communication. Examples are given of AI in digital assistants like Alexa and Siri. Applications discussed include using AI in medicine to organize schedules, in telecommunications to automate network management, and a future scope where AI may replace more human tasks. In conclusion, the document states the goal of AI is to solve problems humans cannot, and development in this field will change the world.
Artificial intelligence aims to create machine intelligence comparable to human intelligence. It has applications in robotics where robots can perform tasks too dangerous or tedious for humans. AI allows robots to sense their environment, compare inputs to expectations, and complete tasks with increased dexterity, safety, and intelligence. Robotics is used in industries, the military, medicine, exploration, and entertainment. Programming languages like Lisp, Python, Prolog, Java, and C++ are used to develop AI and machine learning helps robots and applications learn from data to improve performance over time.
Artificial intelligence has progressed significantly since being coined in 1956. Early AI included Shakey the robot in 1969 and today includes advanced technologies like speech recognition, smart homes, and a dancing robot. In 2020, Baidu released an AI algorithm to help develop a COVID-19 vaccine. AI works by using large data and intelligent algorithms to continuously learn and improve. It is implemented through machine learning, deep learning, programming cognitive skills, perception, and emergent intelligence. AI has many applications in areas like astronomy, healthcare, and gaming. While powerful, AI also has high costs and implementation challenges.
The document discusses artificial intelligence (AI), defining it as the simulation of human intelligence by machines. It outlines the principles of AI, including reasoning, knowledge, planning, learning and communication. It then discusses applications of AI in various fields such as healthcare, music, telecommunications, gaming, finance, business, and more. The document also covers the advantages and disadvantages of AI, as well as its growth and future prospects. It concludes by discussing how AI may change the world as its development and capabilities continue to increase exponentially.
The document discusses artificial intelligence (AI), including its definition, applications, advantages, disadvantages, growth, and future. It defines AI as simulating human intelligence through machines. Some key applications mentioned include using AI in healthcare for scheduling and providing medical information, and in fields like music composition. The growth of AI is expected to be exponential, especially in applications that are useful to society. Concerns about AI include increased costs and potential harms. The conclusion is that AI will significantly change the world as its development continues.
This document provides an overview of artificial intelligence (AI), including its history, applications, and types. It discusses early milestones in AI development as well as modern advances in deep learning, big data, and efforts to create artificial general intelligence. The document also examines what comprises AI and how intelligent agents are structured, defined in terms of their perception, environment, actuators, and sensors (PEAS). It explores rational agents and the Turing test as a way to evaluate machine intelligence.
PowerPoint Presentation on the topic "Artificial Intelligence" including the brief history,information about the founders and pioneers of the concept and the varied applications and future of Artificial Intelligence.
Artificial intelligence and it's future of workIdcIdk1
Artificial intelligence (AI) involves developing algorithms and computer programs that can perform human-like tasks such as visual perception and speech. AI technologies include machine learning, natural language processing, computer vision, robotics, and neural networks. AI is already widely used and is expected to further transform many industries and jobs. While AI may replace some roles like drivers and receptionists, it will also create new jobs related to developing, training, and overseeing AI systems to ensure they are helpful, harmless, and honest. There are risks associated with AI like job losses, lack of data privacy, and potential use by hackers, so it is important to guide the development of beneficial AI.
This document provides an overview of artificial intelligence (AI), including its history, current status, how it works, advantages, and disadvantages. It discusses how AI was developed in the 1960s to mimic human intelligence using machine programming. Today, AI is widely used through technologies like machine learning, deep learning, and natural language processing in applications ranging from personal devices and smart cars to media streaming and home appliances. The document also provides details on how AI systems are trained using large datasets to identify patterns and make predictions, and discusses both the benefits of AI such as reduced time for data-heavy tasks, as well as limitations like lack of ability to generalize.
This document provides an overview of artificial intelligence (AI). It begins with definitions of intelligence and AI. It then discusses the central principles of AI, including reasoning, knowledge, planning, learning, communication, perception and manipulation. Applications of AI discussed include healthcare, music, scheduling, robotics, gaming and finance. Advantages include more powerful computers and interfaces, while disadvantages include costs and software challenges. The document concludes that as biological intelligence is fixed, AI provides an exponentially growing new paradigm and will change the world. It received citations.
A robot is a machine that gathers information about its environment, uses that information to follow instructions and do work. Robots can perform tasks that are dangerous or difficult for humans, like radioactive waste cleanup or precise automobile production. Robots are also being designed to perform surgery, explore dangerous areas like space and the ocean, and use artificial intelligence to behave more like living creatures.
Artificial intelligence (AI) is the simulation of human intelligence by machines, especially computer systems. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations in order to make predictions. The main types of AI are reactive machines (task-specific without memory), limited memory systems (can use past experiences), theory of mind systems (understand human emotions and intentions), and self-aware systems (have consciousness). AI is important because it can provide insights by analyzing large amounts of data faster than humans and in some cases perform tasks better. However, AI also has disadvantages such as being expensive, requiring expertise, and only knowing what it has been exposed to through data.
The document discusses HTML, including its definition as a markup language used to create web pages, its purpose to tell browsers how to display web page elements, and the requirements and basic implementation of HTML using tags. It also lists different versions of HTML and references for learning more.
Machine learning ppt
college presentation on Machine Learning Programming releated them. explain each and every Point in detail so. thats why they are easily to explain in the
Seminar topic on holography, they are used for final year student or 3rd year student to get selection of topic on seminar and explain in front of collage students
This document contains descriptions of several code optimization practicals:
1. It describes taking an input string, generating three-address intermediate code, and then optimizing the code by combining operations like multiplication and addition wherever possible.
2. It provides an example input and output showing the original three-address code and optimized code.
3. The code optimization involves identifying operators like * and + and generating temporary variables to store sub-expressions, combining operations wherever adjacent operations use the same operands.
Python lab manual all the experiments are availableNitesh Dubey
The document describes 10 experiments related to Python programming. Each experiment has an aim to write a Python program to perform a specific task like finding the GCD of two numbers, calculating square root using Newton's method, exponentiation of a number, finding the maximum of a list, performing linear search, binary search, selection sort, insertion sort, merge sort, and multiplying matrices. For each experiment, the algorithm and Python program to implement it is provided. The output for sample test cases is also given to verify the programs.
Web Technology Lab files with practicalNitesh Dubey
The document describes several experiments using HTML, CSS, JavaScript, Java, and SQL to develop web applications.
Experiment 1 involves creating a CV using HTML and JavaScript and displaying it on different websites. Experiment 2 creates a student details form in HTML that sends data to a database.
Experiment 3 uses JavaScript to display browser information on a web page. Experiment 4 develops a calculator application using JavaScript.
Experiment 5 defines document type definitions and cascading style sheets to style an XML document about books.
Experiment 6 connects to a database using JDBC and SQL. It retrieves and updates data, designing a simple servlet to query a book database.
Theory of automata and formal language lab manualNitesh Dubey
The document describes several experiments related to compiler design including lexical analysis, parsing, and code generation.
Experiment 1 involves writing a program to identify if a given string is an identifier or not using a DFA. Experiment 2 simulates a DFA to check if a string is accepted by the given automaton. Experiment 3 checks if a string belongs to a given grammar using a top-down parsing approach. Experiment 4 implements recursive descent parsing to parse expressions based on a grammar. Experiment 5 computes FIRST and FOLLOW sets and builds a LL(1) parsing table for a given grammar. Experiment 6 implements shift-reduce parsing to parse strings. Experiment 7 generates intermediate code like Polish notation, 3-address code, and quadruples
Here are the steps to develop a UML use case diagram for the given problem:
1. Identify the system and actors
The system is the "Supermarket Loyalty Program". The actors are "Customer" and "Supermarket Staff".
2. Identify the use cases
The key use cases are:
- Register for Loyalty Program
- Make Purchase
- View Purchase History
- Generate Prize Winners List
- Reset Purchase Entries
3. Draw and label the use case diagram
Draw oval shapes for the use cases and stick figures for the actors. Connect the actors to related use cases with lines. Label all elements.
4. Add descriptions to use cases
Principal of programming language lab files Nitesh Dubey
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive functioning. Exercise causes chemical changes in the brain that may help alleviate symptoms of mental illness and boost overall mental well-being.
The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can offer improvements to mood, focus, and overall well-being over time.
design and analysis of algorithm Lab filesNitesh Dubey
This document contains details of experiments conducted as part of a "Design and Analysis of Algorithm Lab" course. It includes 10 experiments covering algorithms like binary search, heap sort, merge sort, selection sort, insertion sort, quick sort, knapsack problem, travelling salesman problem, minimum spanning tree (using Kruskal's algorithm), and N queen problem (using backtracking). For each experiment, it provides the objective, program code implementation, and result. The document is submitted by a student to their professor for the lab session.
Computer Organization And Architecture lab manualNitesh Dubey
The document discusses the implementation of various logic gates and flip-flops. It describes half adders and full adders can be implemented using XOR and AND gates. Binary to gray code and gray to binary code conversions are also explained. Circuit diagrams for 3-8 line decoder, 4x1 and 8x1 multiplexer are provided along with their truth tables. Finally, the working of common flip-flops like SR, JK, D and T are explained through their excitation tables.
industrial training report on Ethical hackingNitesh Dubey
This document outlines an industrial training report on ethical hacking conducted at Alison Online Training Institute. It begins with an introduction to ethical hacking and the different types of hacking. It then discusses the role of security and penetration testers and different penetration testing methodologies. The document provides an overview of what can and cannot be done legally as an ethical hacker. It also discusses the basics of networking and what it takes to be a successful security tester.
Project synopsis on face recognition in e attendanceNitesh Dubey
This document provides a project synopsis for a face recognition-based e-attendance system. It discusses developing an automated attendance system using face recognition technology to address issues with traditional manual attendance methods, such as being time-consuming and allowing for fraudulent attendance. The objectives are to help teachers track and manage student attendance and absenteeism more efficiently. The proposed system uses face detection and recognition algorithms to automatically mark student attendance based on detecting faces in the classroom. It includes modules for image capture, face detection, preprocessing, database development, and postprocessing for recognition. Feasibility analysis indicates the technical feasibility of the system using existing technologies. Methodology diagrams show the training and recognition workflows that involve face detection, feature extraction, and classification.
This document provides an overview of the system analysis conducted for developing a Human Resource Management System (HRMS) for BittCell Systems Pvt. Ltd. Key aspects of the analysis included collecting requirements, studying the current manual system, identifying needs and limitations, and conducting a feasibility study. Tools used in the analysis included data collection, charting, dictionaries, and ER diagrams to understand information flow and relationships. The proposed HRMS aims to increase efficiency by automating employee registration, leave management, payroll, and training processes.
Industrial training report on core java Nitesh Dubey
This document discusses the installation and configuration of Java. It begins with an overview of Java and its key features like platform independence. It then discusses the Java platform and how bytecode is run by the Java Virtual Machine (JVM) across different operating systems. The document also covers installing Java, configuring variables, writing and running a basic Java program, and some Java concepts like packages, classes, objects, and modifiers.
SEWAGE TREATMENT PLANT mini project reportNitesh Dubey
This document provides information about a research project analyzing the quality of treated sewage water from shipboard sewage treatment plants. Water samples were taken from 32 ships and analyzed for parameters like coliform bacteria, suspended solids, and biological oxygen demand. The results showed that none of the treated sewage water samples met standards in the MARPOL Annex IV regulations. The document also describes regulations for sewage discharge, potential health and environmental risks of untreated sewage, and common types of sewage treatment systems used on ships.
synopsis report on BIOMETRIC ONLINE VOTING SYSTEMNitesh Dubey
The document summarizes the design of a biometric-based online voting system. It discusses including voter secrecy, authentication, vote verification and accuracy. The design goals are to safely transfer votes from the user's computer to the server and securely store cast votes. The system will use fingerprint biometrics for voter verification and only allow each verified voter to cast one vote. It will also provide manuals for voters before the election and allow vote verification before finalizing.
Sajjad Ali Khan submitted a seminar on object-oriented programming that covered key concepts like classes, objects, messages, and design principles. The content included definitions of objects, classes, and messages. It discussed why OOP is used and requirements for object-oriented languages like encapsulation, inheritance, and dynamic binding. Popular OO languages were listed and concepts like polymorphism were explained with examples.
Covid Management System Project Report.pdfKamal Acharya
CoVID-19 sprang up in Wuhan China in November 2019 and was declared a pandemic by the in January 2020 World Health Organization (WHO). Like the Spanish flu of 1918 that claimed millions of lives, the COVID-19 has caused the demise of thousands with China, Italy, Spain, USA and India having the highest statistics on infection and mortality rates. Regardless of existing sophisticated technologies and medical science, the spread has continued to surge high. With this COVID-19 Management System, organizations can respond virtually to the COVID-19 pandemic and protect, educate and care for citizens in the community in a quick and effective manner. This comprehensive solution not only helps in containing the virus but also proactively empowers both citizens and care providers to minimize the spread of the virus through targeted strategies and education.
Sri Guru Hargobind Ji - Bandi Chor Guru.pdfBalvir Singh
Sri Guru Hargobind Ji (19 June 1595 - 3 March 1644) is revered as the Sixth Nanak.
• On 25 May 1606 Guru Arjan nominated his son Sri Hargobind Ji as his successor. Shortly
afterwards, Guru Arjan was arrested, tortured and killed by order of the Mogul Emperor
Jahangir.
• Guru Hargobind's succession ceremony took place on 24 June 1606. He was barely
eleven years old when he became 6th Guru.
• As ordered by Guru Arjan Dev Ji, he put on two swords, one indicated his spiritual
authority (PIRI) and the other, his temporal authority (MIRI). He thus for the first time
initiated military tradition in the Sikh faith to resist religious persecution, protect
people’s freedom and independence to practice religion by choice. He transformed
Sikhs to be Saints and Soldier.
• He had a long tenure as Guru, lasting 37 years, 9 months and 3 days
Sachpazis_Consolidation Settlement Calculation Program-The Python Code and th...Dr.Costas Sachpazis
Consolidation Settlement Calculation Program-The Python Code
By Professor Dr. Costas Sachpazis, Civil Engineer & Geologist
This program calculates the consolidation settlement for a foundation based on soil layer properties and foundation data. It allows users to input multiple soil layers and foundation characteristics to determine the total settlement.
Better Builder Magazine brings together premium product manufactures and leading builders to create better differentiated homes and buildings that use less energy, save water and reduce our impact on the environment. The magazine is published four times a year.
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artificial intelligence ppt
1.
2.
3. What isA.I?
• In one sentence A.I. is the capability of a machine to
imitate intelligent human behavior.
4. History
Everyone knows that A.I. is a things of 20’s century but it start
between 1952-1956.It start with a myth.But Between 1993 –
2011 it improve in a high ratio.Now days we have too much
updated A.I. project like Sophia Robot.We can also give the
example of A.I. camera in our smartphone.
5. Why we needit?
• We are the human beings has too many limitation for our
human body.We can’t tolerate high temperature.We can’t
tolerate the extreme cold.But a robot can do it.If we can use
A.I. on robot then they can do many incredible job that can’t
do a man normally.
6. How to makeit?
• It is not just a single thing it’s a combination of many things.It’s a
total sum of programming,hardware and sensors.
• The programming language which are the use in making
A.I. is Java,Python,R,LISP,prolog.
8. Prolog
• size([],0).
• size([H|T],N) :- size(T,N1), N is N1+1.
• % or size([_|T],N) :- size(T,N1), N is
N1+1.
• | ?- size([1,2,3,4],N).
• N = 4
• yes
• | ?-
size([bill,ted,ming,pascal,nat,ron],N).
• N = 6
• yes
• | ?- size([a, [b, c, d], e, [f | g], h], N).
• N = 5
• yes
9. Sensors
• There are too many sensors like light
sensor,voicerecognition sensor,face recognition sensor
• Movement motor sensor
• Balance or gravity sensor
10. Main Hardware
• An AI accelerator is a class of microprocessor or computer
system designed as hardware acceleration for artificial
intelligence applications, especially artificial neural networks,
machine vision and machine learning.
• Ram
• Proccessor
• High speed storage
13. SoftwareBased
• A best example of software based A.I. is our smartphone’s
camera.
• When a phone detect the real life scene then it’s a mircle of
software based Artifical Intiligence
• Cortana , siri
16. Healthcare
• A medical clinic can use artificial intelligence system to
organize bed schedule, make a staff rotation and provide
medical information and other important task.
• AI has also applications in the field of Cardiology(CRG),
Neurology(MRI), Embryology(Sonography), Complex
operations of internalorgans etc Education
17. Education
By the using of ai system scientists are creating
robots to teach children ranging from biology to
computer science.
18.
19. Heavyindustry
• Huge machine involves risks in manual maintenance and
working
• Robot are safe and efficient agent for it
• They are often given jobs that are considered dangerous to
humans.
• Robots have proven effective in jobs that are very
repetitive which may leads to mistakes or accidents due
to a lapse in concentration and other jobs which humans
may find degrading.
20. Finance
20
• Banks use artificial intelligence systems to
organize operations, invest in stocks, and
manage properties
• Loan investigation, A
TMdesign, safe andfast
banking etc. also usesAI.
• In August 2001, robots beat humans ina
simulated financial trading competition
21. Automated customersupport
• AI-enabled customer assistants can answer simple questions
like letting you know the status of your order, and helping you in
finding a particular product based on your description, among
others.
22. Advantages
• Low error rate
• Not effected by hostile
environments
• Replace of humans
• Predict what a user will do
• Organize and manages records
• Don’t get bored or tired
23. Disadvantages
• High cost
• No replicating humans
• No improvement with
experience
• No original creativity
• Unemployment
25. Conclusion
• AI is at the centre of a new enterprise to build computational models of
intelligence. The main assumption is that intelligence (human or otherwise) can
be represented in terms of symbol structures and symbolic operations which can
be programmed in a digital computer. There is much debate as to whether such
an appropriately programmed computer would be a mind, or would merely
simulate one, but AI researchers need not wait for the conclusion to that debate,
nor for the hypothetical computer that could model all of human intelligence.
Aspects of intelligent behaviour, such as solving problems, making inferences,
learning, and understanding language, have already been coded as computer
programs, and within very limited domains, such as identifying diseases of
soybean plants, AI programs can outperform human experts. Now the great
challenge of AI is to find ways of representing the commonsense knowledge and
experience that enable people to carry out everyday activities such as holding a
wide- ranging conversation, or finding their way along a busy street.
Conventional digital computers may be capable of running such programs, or we
may need to develop new machines that can support the complexity of human
thought.
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