Contains a detailed Slides on Artificial Intelligence.
What is artificial intelligence?
What are its uses?
advantages?
disadvantages?
Charasteristics?
examples?
functions
and other criterias.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
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.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
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.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
Artificial Intelligence - It's meaning, uses, past and future.
Artificial intelligence is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by animals including humans
just hvae a look, m sure u whould lyk it...............................................................................................................................................................................its all about artificial machines.....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................
Artificial intelligence is the study and design of intelligent agents, with no single goal. It aims to put the human mind into computers by developing machines that can achieve goals through computation. The origins of AI began in the 1940s with the development of electronic computers. Significant early developments included the first stored program computer in the 1950s, the Dartmouth Conference which coined the term "artificial intelligence" in the 1950s, and the development of the LISP programming language. In the following decades, AI research expanded and led to applications in fields like expert systems, games, and military systems. While progress has been made, the full extent of intelligence and the future of AI remains unknown.
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.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
This document provides an overview of artificial intelligence (AI) including definitions, history, major branches, uses, advantages, and disadvantages. It discusses how AI aims to simulate human intelligence through machine learning, problem solving, and rational decision making. The history of AI is explored from early concepts in the 1940s-50s to modern applications. Major branches covered include robotics, data mining, medical diagnosis, and video games. Current and future uses of AI are seen in personal assistants, autonomous systems, speech/image recognition, and many other fields. Both advantages like efficiency and disadvantages like job loss are noted.
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.
The document provides an overview of artificial intelligence, including its definition, history, approaches, tools for evaluation, applications, and predictions for the future. It discusses topics such as the traits of an intelligent system, methods like cybernetics and symbolic/statistical approaches, tools including search algorithms and neural networks, and applications in fields like medicine, robotics, and web search engines.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
This document 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 is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
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 presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
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.
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 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.
This document provides an overview of artificial intelligence (AI). It defines intelligence and AI, explaining that AI aims to make computers intelligent like humans. It describes how AI works using artificial neurons and logic. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. The document also discusses applications of expert systems and machine learning. It compares human and artificial intelligence, noting strengths of each. In the end, it argues that AI is humanity's attempt to build models of ourselves and should not be feared.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
This PPT gives you a brief description of what exactly is artificial intelligence. How is it made possible? What is machine learning? Examples of machine learning.
Programming languages used to develop, machine learning, etc.
This document provides an overview of artificial intelligence, including its introduction, evolution, importance, applications, and conclusions. It discusses how AI aims to help machines act in intelligent, human-like ways by recognizing faces, navigating streets, and understanding language. Key applications of AI discussed include robotics, expert systems, game playing, medicine, natural language processing, and telephone translation. The document also outlines some cons of AI development and concludes that while AI can help solve problems intelligently, it also poses new challenges if not developed responsibly.
Artificial intelligence or AI in short is the latest technology on which the whole world is working today. We at myassignmenthelp.net are providing help with all the assignments and projects. So when ever you need help with any work related to AI feel free to get in touch
This Presentation will give you an overview about Artificial Intelligence : definition, advantages , disadvantages , benefits , applications .
We hope it to be useful .
This document provides an overview of artificial intelligence (AI), including its history, languages, applications, and limitations. It defines AI as making computers think like humans through studying processes like reasoning, learning, and problem-solving. The document discusses pioneering AI languages like Lisp and Prolog and applications such as natural language understanding, expert systems, planning, robotics, and machine learning. It also notes some limitations of AI like its limited ability compared to humans, slow real-time response, inability to handle emergencies, difficulty of coding, and high costs.
Artificial intelligence (AI) is defined as making computers do intelligent tasks like humans. It works using artificial neurons that mimic biological neurons. Neural networks are composed of interconnected artificial neurons. The Turing test tests a machine's ability to demonstrate intelligence comparable to a human. There are different types of AI like expert systems, machine learning, and intelligent agents. While AI can process large amounts of data fast without human limitations, it lacks common sense, intuition, and creativity that humans possess. Overall, AI aims to supplement natural human intelligence by performing tasks through machines to reduce human labor and mistakes.
This document 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 is the study of computer systems that attempt to model and apply human intelligence. The document discusses the early history of AI beginning in 1950 with Alan Turing's paper asking if machines can think. Current applications of AI include digital assistants like Siri, video game characters, and robotics. Challenges to further developing AI include computing power, intuitive thinking, and common sense. The future of AI is promising in areas like self-driving cars, improved healthcare, and space exploration, but concerns include lack of human qualities like creativity and unemployment.
The document discusses artificial intelligence and defines it as the intelligence demonstrated by machines, in particular the ability to solve novel problems, act rationally, and act like humans. It covers the history of AI from its beginnings in 1943 to modern applications of machine learning and neural networks. While some problems like chess and math proofs have been solved, full human-level intelligence remains elusive and computers still cannot understand speech, plan optimally, or learn completely on their own without specific programming.
The document discusses artificial intelligence (AI) and defines it as the science and engineering of making intelligent machines, especially intelligent computer programs that have the abilities to learn, reason, perceive and understand language. It outlines several key AI technologies like machine learning, computer vision, natural language processing and speech recognition. It provides examples of applications in areas such as game playing, robotics, education, medical diagnosis and more. The document also gives a brief history of AI and discusses some programming languages commonly used in AI like Lisp.
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 presentation will give you a brief about the Artificial intelligence concept with the below-mentioned contents
- What is AI?
- Need for AI
- Languages used for AI development
- History of AI
- Types of AI
- Agents in AI
- How AI works
- Technologies of AI
- Application of AI
This document provides an introduction to artificial intelligence, including its history, limitations of human intelligence, applications of AI, and advantages and disadvantages of AI. It discusses early attempts at creating artificial life in stories like Frankenstein. It also covers robotics research from Shakey the robot in 1970 to modern robots designed to work in colonies. Applications of AI mentioned include military, entertainment, healthcare, banking, and insurance. Advantages include improved medical diagnostics using expert systems. Disadvantages include potential issues from self-modifying and self-replicating systems. The conclusion discusses the evolving concept of artificial life and intelligence.
Artificial intelligence- The science of intelligent programsDerak Davis
Artificial intelligence (AI) involves creating intelligent computer programs and machines that can interact with the real world similarly to humans. AI uses techniques like machine learning, deep learning, and neural networks to allow programs to learn from data and experience without being explicitly programmed. While AI has potential benefits, some experts warn that advanced AI could pose risks if not developed carefully due to concerns it could become difficult for humans to control once a certain level of intelligence is achieved.
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.
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 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.
This document provides an overview of artificial intelligence (AI). It defines intelligence and AI, explaining that AI aims to make computers intelligent like humans. It describes how AI works using artificial neurons and logic. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. The document also discusses applications of expert systems and machine learning. It compares human and artificial intelligence, noting strengths of each. In the end, it argues that AI is humanity's attempt to build models of ourselves and should not be feared.
The document discusses artificial intelligence and how it works. It defines intelligence and AI, explaining that AI aims to make computers as intelligent as humans. It describes how AI uses artificial neurons and networks to function similarly to the human brain. Examples of AI applications are given, like expert systems used in various domains. The document also compares human and artificial intelligence, noting their differing strengths and weaknesses.
Artificial intelligence (AI) is the development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception and decision-making. There are three types of AI: narrow AI, which is limited in scope; general AI at an advanced level similar to human intelligence; and super AI, which would surpass human intelligence. AI has many applications today including personal assistants on phones, gaming, robotics, and self-driving cars. While AI shows promise, it also presents risks if not developed responsibly, as machines currently lack human attributes like emotions and ethics.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
This PPT gives you a brief description of what exactly is artificial intelligence. How is it made possible? What is machine learning? Examples of machine learning.
Programming languages used to develop, machine learning, etc.
This document provides an overview of artificial intelligence, including its introduction, evolution, importance, applications, and conclusions. It discusses how AI aims to help machines act in intelligent, human-like ways by recognizing faces, navigating streets, and understanding language. Key applications of AI discussed include robotics, expert systems, game playing, medicine, natural language processing, and telephone translation. The document also outlines some cons of AI development and concludes that while AI can help solve problems intelligently, it also poses new challenges if not developed responsibly.
This document provides an overview of artificial intelligence, including its history, importance, applications, and future. It discusses topics such as expert systems, robotics, game playing, medicine, natural language processing, pattern recognition, and the Turing test. Applications of AI mentioned include cognitive science, visual perception, navigation, speech recognition, and machine translation. The future of AI is discussed in areas like personal robots and other innovations enabled by advancing technologies behind pattern recognition and natural language processing.
The document discusses a presentation on artificial intelligence given by Biswajit Mondal, including a definition of AI as making computers able to mimic human brain functions, the various fields that contribute to AI like philosophy and computer engineering, and examples of applications like game playing and robotics.
The lecture discussed artificial intelligence and its applications. It compared human and artificial intelligence, noting AI's abilities in data processing, knowledge retention, and response time but lack of common sense, fallibility, and limited knowledge bases. Both present risks and benefits. The lecture also examined successes in AI like IBM Watson, self-driving cars, and games as well as debates around sentient AI and whether highly intelligent machines could be dangerous or take human jobs. In conclusion, specialized AI providing benefits to society was deemed acceptable if its development did not aim to mimic human cognition.
Artificial intelligence has developed over decades through the work of many researchers. While the concept dates back to ancient times, AI as a scientific field began taking shape in the mid-20th century. John McCarthy is considered the father of AI, coining the term in 1956 and helping establish it as a field along with scientists like Turing, Newell, and Simon. AI involves simulating human intelligence with machines and has applications in areas like expert systems, language processing, and machine vision. Examples include manufacturing robots, self-driving cars, smart assistants, and automated investing. Tests of AI include the Turing test and imitation game. While AI promises benefits, concerns exist around job losses, costs, and how humans will relate to
The document provides an introduction to artificial intelligence (AI), including definitions of AI, descriptions of the eras of AI development, types of AI approaches, and applications of AI. It discusses factors that have influenced recent advancement in AI and identifies areas of AI research focus. The summary is:
The document introduces artificial intelligence (AI), defining it as human-made thinking power. It describes the history and eras of AI development, different types and approaches of AI including weak AI, strong AI, and super AI. Furthermore, it discusses applications of AI and factors influencing recent advancement, and identifies areas of ongoing AI research focus.
Artificial intelligence is the study of intelligent behavior and the attempt to find ways in which such behavior could be engineered in any type of artifact. There are two main types of AI - weak AI which only simulates human intelligence and strong AI which matches or exceeds human intelligence. Some key developments in AI history include McCarthy coining the term in 1955 and the creation of languages like LISP and PROLOG. Current applications of AI include speech recognition, robotics, gaming, facial recognition and use in the military and life sciences. The future of AI could see machines matching and exceeding human intelligence and potentially merging with humans. There are both advantages like efficiency but also risks like uncontrolled self-modification that come with continued advances in AI.
Artificial intelligence - (A seminar on Emerging Trends of Technology) ileomax
This presentation got the first prize for the competition at a seminar Emerging Trends of Technology @ MGM Indore.
Please leave your comments if you like/unlike it..
We live in world awash with data. And yes, making sense of it is ideal for computers. So when done right, a business can greatly improve its competitive position, such as with predictions, recommendations, visualizations and risk detection.
This document provides an overview of artificial intelligence including:
- A definition of artificial intelligence as the ability of computers to perform tasks commonly associated with intelligent beings.
- A brief history of AI from ancient Greece to modern successes like Deep Blue beating the chess champion in 1997.
- Current applications of AI such as driverless cars, surgical robots, automated assembly lines, and next-generation traffic control.
- Predictions that superintelligent AI could emerge by 2050 and rapidly outpace human intelligence.
- Open challenges to developing strong AI that matches human intelligence such as not fully understanding processes like human thought, learning, emotion, and consciousness.
Artificial intelligence is a branch of computer science that aims to build machines that can think and act intelligently like humans. The document traces the history of AI from its origins in classical philosophy to modern applications in areas like games, speech recognition, music, healthcare, the military, finance, customer service, and transportation. It also discusses key differences between artificial and natural intelligence and considers both the advantages and disadvantages of AI as well as its potential future impacts.
This document provides an overview of artificial intelligence (AI). It defines AI as intelligence exhibited by machines, and notes the two main types are weak AI, which simulates human thought, and strong AI, which equals or surpasses human level intelligence. Key figures in AI history discussed include Alan Turing, the father of computer science, and John McCarthy who coined the term AI. Examples are given of current AI applications in areas like military, medicine, banking, cell phones, and toys/games. The future impact of AI and robotics on jobs is also addressed.
This presentation covers
- Introduction to Artificial Intelligence
- Philosophy of A.I
- Real-life Examples
- Major Applications Of A.I
- A.I.-: Need Of The Hour
- Drawbacks.
-Vigyanam RKGIT, Ghaziabad
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.
This document discusses artificial intelligence and its various branches. It defines AI as computers with the ability to mimic human intelligence through functions like learning from experience, solving problems with missing information, and understanding language and images. The major branches of AI discussed are perceptive systems, robotics, expert systems, learning systems, natural language processing, neural networks, and vision systems. Intelligent behaviors like learning, problem solving, and reacting to new situations are also outlined.
Artificial intelligence is the study of computer systems that attempt to model human intelligence. Early pioneers like Alan Turing explored whether machines could think in the 1950s, and the field of AI was established in a 1956 workshop. Today, AI is used widely in digital assistants, self-driving cars, medical diagnosis, and more. However, it still faces challenges such as matching human intuitive thinking and common sense. The future of AI is promising but uncertain, as it could revolutionize many fields while also disrupting the workforce and potentially becoming too independent from human values.
The document summarizes a seminar on artificial intelligence presented by Mr. Ishwar Bulbule. It discusses the history of AI, including key events and figures. It also covers different approaches to AI, current applications like Siri and Watson, and potential future uses such as automated transportation, cyborg technology, and improved elder care. The conclusion states that AI has increased understanding of intelligence while also revealing its complexity, providing new challenges for the future.
This document provides an introduction to artificial intelligence, including definitions of intelligence and AI. It discusses Turing's philosophy that a machine can be considered intelligent if it can convince a human it is also human. It outlines several applications of AI like expert systems, machine learning, computer vision and natural language processing. It gives examples of prominent AI systems from IBM, Google, and the University of Tennessee. It also notes that AI is now widely used across many industries and discusses both the future potential and current limitations of AI.
Eye Tracking Based Human - Computer InteractionSharath Raj
This Presentation aims at explaining how eye tracking works and the usage of Houghman Circle Detection Algorithm in order to detect the iris.
https://www.picostica.com
This PPT provides you with the basic Computer knowledge. The presentation takes you through all the main parts of a computer system and types of computer systems.
Final Year Project BCA Presentation on Pic-O-SticaSharath Raj
This slide is based on the final year project of BCA. Project was on Online image purchase and Sales System.
The system was developed using PHP at the frontend and Mysql at the Backend.
Image will be uploaded and will be watermarked. USer can buy or sell their lovely images.
Introduction
What is Cyber Crime?
Computer crime, or cybercrime, is crime that involves a computer and a network. The computer may have been used in the commission of a crime, or it may be the target.
What is Cyber Security?
C
yber security, also known as computer security or IT security, is the protection of information systems from theft or damage to the hardware, the software, and to the information on them, as well as from disruption or misdirection of the services they provide. It includes controlling physical access to the hardware, as well as protecting against harm that may come via network access, data and code injection and due to malpractice by operators,whether intentional, accidental, or due to them being tricked into deviating from secure procedures.
The field is of growing importance due to the increasing reliance on computer systems in most societies and the growth of "smart" devices,including smartphones, televisions and tiny devices as part of the Internet of Things – and of the Internet and wireless network such as Bluetooth and Wi-Fi.
Some organizations are turning to big data platforms, such as Apache Hadoop, to extend data accessibility and machine learning to detect advanced persistent threats.
Vulnerabilities and Attacks
Vulnerability is a system susceptibility or flaw, and much vulnerability are documented in the Common Vulnerabilities and Exposures (CVE) database and vulnerability management is the cyclical practice of identifying, classifying, remediating, and mitigating vulnerabilities as they are discovered.
An exploitable vulnerability is one for which at least one working attack or "exploit" exists.
To secure a computer system, it is important to understand the attacks that can be made against it, and these threats can typically be classified into one of the categories below.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
AI 101: An Introduction to the Basics and Impact of Artificial IntelligenceIndexBug
Imagine a world where machines not only perform tasks but also learn, adapt, and make decisions. This is the promise of Artificial Intelligence (AI), a technology that's not just enhancing our lives but revolutionizing entire industries.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
GraphRAG for Life Science to increase LLM accuracyTomaz Bratanic
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
Building Production Ready Search Pipelines with Spark and MilvusZilliz
Spark is the widely used ETL tool for processing, indexing and ingesting data to serving stack for search. Milvus is the production-ready open-source vector database. In this talk we will show how to use Spark to process unstructured data to extract vector representations, and push the vectors to Milvus vector database for search serving.
Maruthi Prithivirajan, Head of ASEAN & IN Solution Architecture, Neo4j
Get an inside look at the latest Neo4j innovations that enable relationship-driven intelligence at scale. Learn more about the newest cloud integrations and product enhancements that make Neo4j an essential choice for developers building apps with interconnected data and generative AI.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
In his public lecture, Christian Timmerer provides insights into the fascinating history of video streaming, starting from its humble beginnings before YouTube to the groundbreaking technologies that now dominate platforms like Netflix and ORF ON. Timmerer also presents provocative contributions of his own that have significantly influenced the industry. He concludes by looking at future challenges and invites the audience to join in a discussion.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
4. Artificial Intelligence is the study
of how to make computers behave
intelligently. It is the science and
engineering of making intelligent
machines, especially intelligent computer
programs.
AI can have two purposes. One is
to use the power of computers to augment
human thinking. The other is to use a
computers artificial intelligence to
understand how human think.
5. 1950: Alan Turing proposes the Turing
Test as a measure of machine
intelligence.
1956: AI is born at the Dartmouth
conference organized by John McCarthy,
father of Artificial Intelligence.
1958: John McCarthy defined the Lisp
language.
1972: The first implementation of Prolog.
1984: The first “Terminator” film depicts a
near-future world overtaken by killing
machines run by AI.
1997: IBM’s Deep Blue Computer beats
reigning world chess champion Garry
Kasparov.
Alan Turing
John McCarthy
6. Games playing: Programming
computers to play games against human
opponent.
Expert systems: Programming
computers to make decisions in real-life
situations.
Natural language: Programming
computers to understand the natural
human languages.
Neutral networks: Systems that
simulate intelligence by attempting to
reproduce the types of physical
connections that occur in animal brains.
7. • Autonomous vehicles
• Speech Recognition
• Medical diagnosis
• Military
• Disaster areas
• Search engines
• Outer space
• Playing games
Applications
8.
9. It can help improve our way of life
Machines will be able to do jobs that require
detailed instructions
Mental alertness and decision making
capabilities
Use robots for heavy construction, military
benefits, or even for personal assistance at
private homes
There will be less injuries and stress to human
beings
Many of our health problems now have
10. • This cause the loss of human control over those
“deemed machines”.
• They may dominate us in the near future.
• Sometimes it may cause the destruction if the
“entire beautiful human race”.
• Expensive technology.
11. • 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 symbolic operations which can be
programmed in a digital computer.