Artificial intelligence
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Artificial intelligence
This document provides an overview of artificial intelligence (AI). It defines AI as the study of computer systems that attempt to model human intelligence. The document outlines the early history of AI beginning in 1950 with Alan Turing's paper on machine intelligence. It describes the current status of AI in applications such as mobile phones, video games, GPS, and robotics. Challenges for AI are discussed as well as the future potential in areas like self-driving cars and medical care. Both pros and cons of AI are presented before the document concludes with a definition of AI as the study and design of intelligent agents.
Artificial Intelligence
This presentation summarizes artificial intelligence and was presented by 5 students to a professor. It defines AI as developing computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. It notes that AI was coined in 1956 and discusses programming languages used for AI like Python and Java. It also summarizes the Turing test, different types of AI, applications like expert systems and robotics, and benefits like reducing human casualties. However, it also discusses potential disadvantages like super AI becoming a primary threat to humans in the future.
Artificial intelligence
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.
Techexpo 2017
This document discusses artificial intelligence and machine learning in Africa. It provides a brief history of AI from Greek mythology to modern times. Key figures discussed include Charles Babbage, Ada Lovelace, Alan Turing, and researchers at the 1956 Dartmouth Conference. The document defines what AI is and is not, and classifies AI types. It also discusses machine learning, big data, data mining, and deep learning. It notes that bridging the gap between African and Western tech students requires interview skills, competitions, progressive work experience, impact knowledge, university education, and being timely with knowledge.
Jainish ms ai
Artificial intelligence (AI) is an area of computer science that emphasizes creating intelligent machines that work like humans. AI involves programming computers for traits like perception, learning, planning, problem solving and knowledge. While initially developed in 1956, AI has grown in demand due to big data. AI can be categorized into weak AI, which is designed for specific tasks, and strong AI, which aims for general intelligence. AI has many applications in fields like law, education, business, finance, healthcare and manufacturing. It provides advantages such as increasing work efficiency and reducing costs and errors, but also faces disadvantages like potential misuse if not properly programmed. The future of AI is focused on developing smarter systems through advances in machine learning and deep learning.
Human Robot Interaction (HRI) in Next Generation Learning
The presence of robots in our everyday activities is inevitable in the near future and this should not be met with skepticism but instead, with a practical outlook on how we can best interact with them. From homes to workplaces and cities, we are attempting to make our lives to be more productive, more efficient and so-called "Smarter". The building block of this "Smart" journey lies on how we will educate the next generation of our human workforce to interact and collaborate with robots. The first wave of modernization in human-machine interaction took us from punch cards to keyboards and mouse. The second wave took us to touchscreens and smart devices. This talk will explore the next generation learning and how to prepare and educate ourselves and our next generation for the time, when human-robot interaction (HRI) becomes an essential part of our day to day lives.
Why is Sri Lanka under developed (A root cause analysis)
The document analyzes reasons for Sri Lanka's underdevelopment. It identifies 11 root causes: 1) an underdog mentality from colonialism, 2) a lack of critical thinking due to heritage and education, 3) poor root cause analysis, 4) black and white thinking, 5) jealousy and lack of collaboration, 6) political power held by cunning politicians rather than wise leaders, 7) an outdated and exam-focused education system, 8) a culture of fear, 9) laziness, 10) the negative impact of ethnic and religious politics, and 11) artificial behavior rather than genuine living. Addressing these deep-rooted issues is seen as key to developing Sri Lanka.
Philosophy of Artificial Intelligence
History, current development
Mind–body problem
Other impacts on philosophy
Themes of practical ethics
Relationship between robot ethics and machine ethics
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Artificial intelligence
This document provides an overview of artificial intelligence (AI). It defines AI as the study of computer systems that attempt to model human intelligence. The document outlines the early history of AI beginning in 1950 with Alan Turing's paper on machine intelligence. It describes the current status of AI in applications such as mobile phones, video games, GPS, and robotics. Challenges for AI are discussed as well as the future potential in areas like self-driving cars and medical care. Both pros and cons of AI are presented before the document concludes with a definition of AI as the study and design of intelligent agents.
Artificial Intelligence
This presentation summarizes artificial intelligence and was presented by 5 students to a professor. It defines AI as developing computer systems that can perform tasks requiring human intelligence, such as visual perception and language translation. It notes that AI was coined in 1956 and discusses programming languages used for AI like Python and Java. It also summarizes the Turing test, different types of AI, applications like expert systems and robotics, and benefits like reducing human casualties. However, it also discusses potential disadvantages like super AI becoming a primary threat to humans in the future.
Artificial intelligence
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.
Techexpo 2017
This document discusses artificial intelligence and machine learning in Africa. It provides a brief history of AI from Greek mythology to modern times. Key figures discussed include Charles Babbage, Ada Lovelace, Alan Turing, and researchers at the 1956 Dartmouth Conference. The document defines what AI is and is not, and classifies AI types. It also discusses machine learning, big data, data mining, and deep learning. It notes that bridging the gap between African and Western tech students requires interview skills, competitions, progressive work experience, impact knowledge, university education, and being timely with knowledge.
Jainish ms ai
Artificial intelligence (AI) is an area of computer science that emphasizes creating intelligent machines that work like humans. AI involves programming computers for traits like perception, learning, planning, problem solving and knowledge. While initially developed in 1956, AI has grown in demand due to big data. AI can be categorized into weak AI, which is designed for specific tasks, and strong AI, which aims for general intelligence. AI has many applications in fields like law, education, business, finance, healthcare and manufacturing. It provides advantages such as increasing work efficiency and reducing costs and errors, but also faces disadvantages like potential misuse if not properly programmed. The future of AI is focused on developing smarter systems through advances in machine learning and deep learning.
Human Robot Interaction (HRI) in Next Generation Learning
The presence of robots in our everyday activities is inevitable in the near future and this should not be met with skepticism but instead, with a practical outlook on how we can best interact with them. From homes to workplaces and cities, we are attempting to make our lives to be more productive, more efficient and so-called "Smarter". The building block of this "Smart" journey lies on how we will educate the next generation of our human workforce to interact and collaborate with robots. The first wave of modernization in human-machine interaction took us from punch cards to keyboards and mouse. The second wave took us to touchscreens and smart devices. This talk will explore the next generation learning and how to prepare and educate ourselves and our next generation for the time, when human-robot interaction (HRI) becomes an essential part of our day to day lives.
Why is Sri Lanka under developed (A root cause analysis)
The document analyzes reasons for Sri Lanka's underdevelopment. It identifies 11 root causes: 1) an underdog mentality from colonialism, 2) a lack of critical thinking due to heritage and education, 3) poor root cause analysis, 4) black and white thinking, 5) jealousy and lack of collaboration, 6) political power held by cunning politicians rather than wise leaders, 7) an outdated and exam-focused education system, 8) a culture of fear, 9) laziness, 10) the negative impact of ethnic and religious politics, and 11) artificial behavior rather than genuine living. Addressing these deep-rooted issues is seen as key to developing Sri Lanka.
Philosophy of Artificial Intelligence
History, current development
Mind–body problem
Other impacts on philosophy
Themes of practical ethics
Relationship between robot ethics and machine ethics
Artificial intelligence
This is power point presentation is about Artificial intelligence.
It contains a lot of good stuff which helps you to get a good score and make your boss happy.
It also contains a short video on Sophia.
This presentation has good effects.
-Thank you
SARANRAJ(AI).pptx
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses early milestones in AI like the Turing Test (1950) and Logic Theorist (1956). Applications mentioned include agriculture, astronomy, gaming, robotics, and more. Advantages are high speed, reliability in risky situations. Disadvantages include high costs, inability to think outside programmed tasks, and lack of emotions. The conclusion states AI could solve many problems and unlock a future where computers make more informed decisions based on understanding our world through data.
PPT ON AI AND ML.pptx
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
artificial intelligence
The document discusses artificial intelligence (AI), including its definition as modeling human intelligence using computer systems. It outlines the early history of AI beginning in 1950 with Alan Turing's landmark paper asking if machines can think. The document also describes the Turing Test for intelligence and examples of modern AI like Google Assistant, Siri, Cortana and Sophia, the humanoid robot. The rise of AI presents both opportunities like meeting needs efficiently but also threats if robots gain too much power or capabilities are misused.
AI.pdf
The document provides an introduction to artificial intelligence, including definitions, goals, and applications of AI. It discusses key concepts such as intelligent systems, the history of AI, foundations of AI, and components of AI systems. Examples are given throughout such as chess-playing programs, self-driving cars, and chatbots like Eliza. The document also summarizes an approach for developing an AI to play the game Tic-Tac-Toe.
Artificial intelligence
The document discusses artificial intelligence (AI), defining it as computer systems that attempt to model human intelligence. It provides examples of current AI applications like digital assistants Siri, Google Now, and Cortana, and discusses the early history and pioneers of AI. The document also covers challenges in AI, examples of achievements in robotics, pros and cons of AI versus robots, and concludes by restating definitions of AI and its goal of creating intelligent machines.
Artificial intelligence and machine
John McCarthy is considered the father of artificial intelligence. He coined the term "artificial intelligence" in 1955 and defined it as "the science and engineering of making intelligent machines." There are four main types of AI: reactive machines, limited memory, theory of mind, and self-awareness. Recent advances in AI include natural language generation, speech recognition, virtual agents, decision management, biometrics, machine learning, robotic process automation, and peer-to-peer networks. While AI offers advantages like reducing task time and enabling complex tasks at low cost, some experts are concerned it may lead to a loss of skills in people by automating repetitive jobs.
01 AI Overview.pptx
provides an AI assistant platform
that supports multi-modal interaction and
continuous learning.
Huawei Confidential
35
Huawei's Full-Stack, All-Scenario AI Strategy
Full-stack: covers algorithms, frameworks, chips, cloud, and edge to provide end-to-end AI capabilities.
All-scenario: supports AI applications in all scenarios including cloud, edge, and device.
Unified: MindSpore as the unified training and inference framework; Ascend as the unified hardware
platform.
Open and cooperative: open source MindSpore and provide full-stack enablement. Cooperate with
partners and customers to build an open AI ecosystem.
Application
Emerging Technology chapter 3.pptx
Based on Capabilities
B. Based on Functionality
1. Reactive Machines:
- Reactive machines are the simplest form of AI. They perceive their environment and
respond in a predetermined manner to achieve a specific goal.
- Examples include thermostats, industrial robots, and vacuum cleaners.
2. Limited Memory:
- These systems can remember past experiences and use that information to guide future
actions.
- Examples include chess playing programs and self-driving cars.
3. Theory of Mind:
- These systems can model other agents and take their beliefs, intentions, and desires into
account.
- Examples include personal assistants like Siri that understand context.
4. Self
Artificial Intelligence
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
AI - UNIT 1 - Completed on 26.11.2022 (13 Classes) .pptx
Ch na tu bol ki kahi tri tu bol ki kahi tri tu bol ki kahi tri tu bol ki jara tri kahi khar ni na kahi tri bol na
Artificial Intelligence and Robotics
Will Artificial Intelligence Surpass Human Intelligence?
AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems.
Artificial Intelligence.pptx
Artificial intelligence (AI) is the ability of machines to mimic human intelligence through learning, reasoning and interacting with their environments. The document discusses the history and definitions of AI, types of AI including narrow, general and super AI, how AI works using artificial neural networks and algorithms, benefits like reducing human risk but also drawbacks like costs and job disruption. Examples of AI in use include predictive search in Google, personalized recommendations in Netflix using viewing history, and spam filtering in Gmail's inbox.
ARTIFICIAL INTELLIGENCE and how it imactas
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
There are various types of AI, including narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems, such as speech recognition, image recognition, or playing chess. General AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
AI algorithms and techniques can be categorized into several subfields, including:
1. Machine Learning: Machine learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
PPT presentation on ARTIFICIAL INTELLIGENCE
The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.
History of AI.pptx
The document provides a history of artificial intelligence from its early beginnings to recent advances and future prospects. It discusses how the concept of artificial intelligence originated in ancient Greek mythology and the work of Ada Lovelace and Charles Babbage in the 19th century. The term "artificial intelligence" was coined in 1956 at the Dartmouth Conference, which laid the groundwork for modern AI research. Early applications included logic systems and game programs. Research declined during the "AI Winter" of the 1970s-80s but resumed with the development of expert systems and machine learning techniques. Recent breakthroughs using deep learning have led to advances in areas like computer vision, natural language processing, and robotics. The future of AI is expected to include
Artificial Intelligence vs. Machine Learning
John McCarthy first coined the term "artificial intelligence" in 1956. The original concept of AI was for machines to simulate human learning and intelligence. There are two main types of AI - strong AI, which aims to simulate the human brain, and weak AI, which behaves intelligently without replicating the brain. Machine learning is a subset of AI that uses algorithms to improve performance over time by processing data. AI is now used widely in areas like digital assistants, social media, music/video streaming, navigation, business applications, drones, self-driving cars, and humanoid robots. While AI has benefits, there are also risks like limited abilities, unemployment, and autonomous weapons. The future of AI could include enhanced human abilities but
sophia robot
Sophia is a social humanoid robot created by Hanson Robotics. She was activated in 2015 and made her first public appearance in 2016. Sophia has over 62 facial expressions and can hold conversations. In 2017, she became the first robot citizen of Saudi Arabia.
Artificial intelligence in anesthesiology by dr tushar chokshi
The document provides an overview of current and future applications of artificial intelligence (AI) in the field of anesthesiology. It discusses how AI is currently used for tasks like pre-anesthesia checkups, operating room monitoring and control, and teleanesthesia. It predicts that in the future, AI will allow anesthesiologists to control operating room devices and monitors using voice commands. AI may also help automate some cognitive tasks but dexterous tasks will still require human anesthesiologists. While AI can reduce some errors, it is unlikely to fully replace anesthesiologists as complex clinical decision making will still need human judgment.
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Artificial intelligence
This is power point presentation is about Artificial intelligence.
It contains a lot of good stuff which helps you to get a good score and make your boss happy.
It also contains a short video on Sophia.
This presentation has good effects.
-Thank you
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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.
PPT ON AI AND ML.pptx
The document provides an acknowledgement for a school project. It thanks the teacher, Miss Arjita Banerjee, for guiding the project. It also thanks fellow classmates for their assistance, even though it was not their responsibility. The acknowledgement expresses gratitude to all involved for helping make the project meaningful and interesting.
artificial intelligence
The document discusses artificial intelligence (AI), including its definition as modeling human intelligence using computer systems. It outlines the early history of AI beginning in 1950 with Alan Turing's landmark paper asking if machines can think. The document also describes the Turing Test for intelligence and examples of modern AI like Google Assistant, Siri, Cortana and Sophia, the humanoid robot. The rise of AI presents both opportunities like meeting needs efficiently but also threats if robots gain too much power or capabilities are misused.
AI.pdf
The document provides an introduction to artificial intelligence, including definitions, goals, and applications of AI. It discusses key concepts such as intelligent systems, the history of AI, foundations of AI, and components of AI systems. Examples are given throughout such as chess-playing programs, self-driving cars, and chatbots like Eliza. The document also summarizes an approach for developing an AI to play the game Tic-Tac-Toe.
Artificial intelligence
The document discusses artificial intelligence (AI), defining it as computer systems that attempt to model human intelligence. It provides examples of current AI applications like digital assistants Siri, Google Now, and Cortana, and discusses the early history and pioneers of AI. The document also covers challenges in AI, examples of achievements in robotics, pros and cons of AI versus robots, and concludes by restating definitions of AI and its goal of creating intelligent machines.
Artificial intelligence and machine
John McCarthy is considered the father of artificial intelligence. He coined the term "artificial intelligence" in 1955 and defined it as "the science and engineering of making intelligent machines." There are four main types of AI: reactive machines, limited memory, theory of mind, and self-awareness. Recent advances in AI include natural language generation, speech recognition, virtual agents, decision management, biometrics, machine learning, robotic process automation, and peer-to-peer networks. While AI offers advantages like reducing task time and enabling complex tasks at low cost, some experts are concerned it may lead to a loss of skills in people by automating repetitive jobs.
01 AI Overview.pptx
provides an AI assistant platform
that supports multi-modal interaction and
continuous learning.
Huawei Confidential
35
Huawei's Full-Stack, All-Scenario AI Strategy
Full-stack: covers algorithms, frameworks, chips, cloud, and edge to provide end-to-end AI capabilities.
All-scenario: supports AI applications in all scenarios including cloud, edge, and device.
Unified: MindSpore as the unified training and inference framework; Ascend as the unified hardware
platform.
Open and cooperative: open source MindSpore and provide full-stack enablement. Cooperate with
partners and customers to build an open AI ecosystem.
Application
Emerging Technology chapter 3.pptx
Based on Capabilities
B. Based on Functionality
1. Reactive Machines:
- Reactive machines are the simplest form of AI. They perceive their environment and
respond in a predetermined manner to achieve a specific goal.
- Examples include thermostats, industrial robots, and vacuum cleaners.
2. Limited Memory:
- These systems can remember past experiences and use that information to guide future
actions.
- Examples include chess playing programs and self-driving cars.
3. Theory of Mind:
- These systems can model other agents and take their beliefs, intentions, and desires into
account.
- Examples include personal assistants like Siri that understand context.
4. Self
Artificial Intelligence
Artificial intelligence (AI) is the simulation of human intelligence by machines. The document provides a history of AI, discussing its current status and applications. It describes goals of AI like problem solving, acting rationally, and acting like humans. The document also outlines advantages like reducing errors and performing repetitive jobs, as well as disadvantages such as high costs. The future scope of AI is discussed, such as improved speech and image recognition changing devices and personal assistants becoming more personalized.
AI - UNIT 1 - Completed on 26.11.2022 (13 Classes) .pptx
Ch na tu bol ki kahi tri tu bol ki kahi tri tu bol ki kahi tri tu bol ki jara tri kahi khar ni na kahi tri bol na
Artificial Intelligence and Robotics
Will Artificial Intelligence Surpass Human Intelligence?
AI (artificial intelligence) is the simulation of human intelligence processes by machines, especially computer systems.
Artificial Intelligence.pptx
Artificial intelligence (AI) is the ability of machines to mimic human intelligence through learning, reasoning and interacting with their environments. The document discusses the history and definitions of AI, types of AI including narrow, general and super AI, how AI works using artificial neural networks and algorithms, benefits like reducing human risk but also drawbacks like costs and job disruption. Examples of AI in use include predictive search in Google, personalized recommendations in Netflix using viewing history, and spam filtering in Gmail's inbox.
ARTIFICIAL INTELLIGENCE and how it imactas
Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. The goal of AI is to develop computer systems capable of performing tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, learning from experience, and making decisions.
There are various types of AI, including narrow AI and general AI. Narrow AI, also known as weak AI, is designed to perform specific tasks or solve particular problems, such as speech recognition, image recognition, or playing chess. General AI, also known as strong AI or artificial general intelligence (AGI), refers to AI systems that possess the ability to understand, learn, and apply knowledge across a wide range of tasks, similar to human intelligence.
AI algorithms and techniques can be categorized into several subfields, including:
1. Machine Learning: Machine learning is a subset of AI that focuses on the development of algorithms that enable computers to learn from data and improve their performance over time without being explicitly programmed. This includes supervised learning, unsupervised learning, and reinforcement learning.
2. Deep Learning: Deep learning is a subset of machine learning that uses artificial neural networks with multiple layers to model complex patterns in large amounts of data. Deep learning has been particularly successful in tasks such as image recognition, speech recognition, and natural language processing.
3. Natural Language Processing (NLP): NLP is a field of AI that focuses on the interaction between computers and humans through natural language. NLP enables computers to understand, interpret, and generate human language, allowing for applications such as language translation, sentiment analysis, and chatbots.
4. Computer Vision: Computer vision is a field of AI that enables computers to interpret and understand visual information from the real world, such as images and videos. Computer vision algorithms can be used for tasks such as object detection, image classification, and facial recognition.
5. Robotics: Robotics combines AI with mechanical engineering to create machines that can perform tasks autonomously or semi-autonomously. AI-powered robots are used in various industries, including manufacturing, healthcare, and agriculture, to automate repetitive tasks and improve efficiency.
AI has a wide range of applications across various industries, including healthcare, finance, transportation, retail, and entertainment. Some examples of AI applications include virtual assistants like Siri and Alexa, autonomous vehicles, recommendation systems like those used by Netflix and Amazon, and medical diagnosis systems.
While AI has the potential to bring about significant benefits and advancements, it also raises ethical and societal concerns, such as job displacement, algorithmic bias, privacy issues, and the potential for misuse or abuse of AI te
PPT presentation on ARTIFICIAL INTELLIGENCE
The document presents an overview of artificial intelligence (AI) created by a group of students. It defines AI as the simulation of human intelligence by machines. The document then discusses the history of AI, current applications including healthcare, education, and aviation, as well as goals, approaches, tools, platforms, advantages, and disadvantages. It notes that while AI can perform tasks efficiently with little error, it may also decrease human labor and pose ethical issues. The future of AI is discussed, with predictions that speech and image recognition will improve human-device interaction and AI will start to operate more autonomously.
History of AI.pptx
The document provides a history of artificial intelligence from its early beginnings to recent advances and future prospects. It discusses how the concept of artificial intelligence originated in ancient Greek mythology and the work of Ada Lovelace and Charles Babbage in the 19th century. The term "artificial intelligence" was coined in 1956 at the Dartmouth Conference, which laid the groundwork for modern AI research. Early applications included logic systems and game programs. Research declined during the "AI Winter" of the 1970s-80s but resumed with the development of expert systems and machine learning techniques. Recent breakthroughs using deep learning have led to advances in areas like computer vision, natural language processing, and robotics. The future of AI is expected to include
Artificial Intelligence vs. Machine Learning
John McCarthy first coined the term "artificial intelligence" in 1956. The original concept of AI was for machines to simulate human learning and intelligence. There are two main types of AI - strong AI, which aims to simulate the human brain, and weak AI, which behaves intelligently without replicating the brain. Machine learning is a subset of AI that uses algorithms to improve performance over time by processing data. AI is now used widely in areas like digital assistants, social media, music/video streaming, navigation, business applications, drones, self-driving cars, and humanoid robots. While AI has benefits, there are also risks like limited abilities, unemployment, and autonomous weapons. The future of AI could include enhanced human abilities but
sophia robot
Sophia is a social humanoid robot created by Hanson Robotics. She was activated in 2015 and made her first public appearance in 2016. Sophia has over 62 facial expressions and can hold conversations. In 2017, she became the first robot citizen of Saudi Arabia.
Artificial intelligence in anesthesiology by dr tushar chokshi
The document provides an overview of current and future applications of artificial intelligence (AI) in the field of anesthesiology. It discusses how AI is currently used for tasks like pre-anesthesia checkups, operating room monitoring and control, and teleanesthesia. It predicts that in the future, AI will allow anesthesiologists to control operating room devices and monitors using voice commands. AI may also help automate some cognitive tasks but dexterous tasks will still require human anesthesiologists. While AI can reduce some errors, it is unlikely to fully replace anesthesiologists as complex clinical decision making will still need human judgment.
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Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
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- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
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- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
原件一模一样【微信：bwp0011】《(Humboldt毕业证书)柏林大学毕业证学位证》【微信：bwp0011】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
【主营项目】
一.毕业证【微bwp0011】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【微bwp0011】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building.pdf
2008 BUILDING CONSTRUCTION Illustrated - Ching Chapter 02 The Building
Embedded machine learning-based road conditions and driving behavior monitoring
Car accident rates have increased in recent years, resulting in losses in human lives, properties, and other financial costs. An embedded machine learning-based system is developed to address this critical issue. The system can monitor road conditions, detect driving patterns, and identify aggressive driving behaviors. The system is based on neural networks trained on a comprehensive dataset of driving events, driving styles, and road conditions. The system effectively detects potential risks and helps mitigate the frequency and impact of accidents. The primary goal is to ensure the safety of drivers and vehicles. Collecting data involved gathering information on three key road events: normal street and normal drive, speed bumps, circular yellow speed bumps, and three aggressive driving actions: sudden start, sudden stop, and sudden entry. The gathered data is processed and analyzed using a machine learning system designed for limited power and memory devices. The developed system resulted in 91.9% accuracy, 93.6% precision, and 92% recall. The achieved inference time on an Arduino Nano 33 BLE Sense with a 32-bit CPU running at 64 MHz is 34 ms and requires 2.6 kB peak RAM and 139.9 kB program flash memory, making it suitable for resource-constrained embedded systems.
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Use PyCharm for remote debugging of WSL on a Windo cf5c162d672e4e58b4dde5d797...
This document serves as a comprehensive step-by-step guide on how to effectively use PyCharm for remote debugging of the Windows Subsystem for Linux (WSL) on a local Windows machine. It meticulously outlines several critical steps in the process, starting with the crucial task of enabling permissions, followed by the installation and configuration of WSL.
The guide then proceeds to explain how to set up the SSH service within the WSL environment, an integral part of the process. Alongside this, it also provides detailed instructions on how to modify the inbound rules of the Windows firewall to facilitate the process, ensuring that there are no connectivity issues that could potentially hinder the debugging process.
The document further emphasizes on the importance of checking the connection between the Windows and WSL environments, providing instructions on how to ensure that the connection is optimal and ready for remote debugging.
It also offers an in-depth guide on how to configure the WSL interpreter and files within the PyCharm environment. This is essential for ensuring that the debugging process is set up correctly and that the program can be run effectively within the WSL terminal.
Additionally, the document provides guidance on how to set up breakpoints for debugging, a fundamental aspect of the debugging process which allows the developer to stop the execution of their code at certain points and inspect their program at those stages.
Finally, the document concludes by providing a link to a reference blog. This blog offers additional information and guidance on configuring the remote Python interpreter in PyCharm, providing the reader with a well-rounded understanding of the process.
The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
22CYT12-Unit-V-E Waste and its Management.ppt
Introduction- e - waste – definition - sources of e-waste– hazardous substances in e-waste - effects of e-waste on environment and human health- need for e-waste management– e-waste handling rules - waste minimization techniques for managing e-waste – recycling of e-waste - disposal treatment methods of e- waste – mechanism of extraction of precious metal from leaching solution-global Scenario of E-waste – E-waste in India- case studies.
Comparative analysis between traditional aquaponics and reconstructed aquapon...
The aquaponic system of planting is a method that does not require soil usage. It is a method that only needs water, fish, lava rocks (a substitute for soil), and plants. Aquaponic systems are sustainable and environmentally friendly. Its use not only helps to plant in small spaces but also helps reduce artificial chemical use and minimizes excess water use, as aquaponics consumes 90% less water than soil-based gardening. The study applied a descriptive and experimental design to assess and compare conventional and reconstructed aquaponic methods for reproducing tomatoes. The researchers created an observation checklist to determine the significant factors of the study. The study aims to determine the significant difference between traditional aquaponics and reconstructed aquaponics systems propagating tomatoes in terms of height, weight, girth, and number of fruits. The reconstructed aquaponics system’s higher growth yield results in a much more nourished crop than the traditional aquaponics system. It is superior in its number of fruits, height, weight, and girth measurement. Moreover, the reconstructed aquaponics system is proven to eliminate all the hindrances present in the traditional aquaponics system, which are overcrowding of fish, algae growth, pest problems, contaminated water, and dead fish.
KuberTENes Birthday Bash Guadalajara - K8sGPT first impressions
K8sGPT is a tool that analyzes and diagnoses Kubernetes clusters. This presentation was used to share the requirements and dependencies to deploy K8sGPT in a local environment.
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Artificial intelligence
- 1. SRI PADMAVATHI MAHILA VISVAVIDYALAYAM School of engineering and technology (Women’s university) TIRUPATI
- 3. Contents • What is an AI • What contributes to AI • Who invented the AI • What type of thing is AI • Types of AI • Humanoid robot • Applications of AI • Advantages and Disadvantages of AI
- 4. What is an ARTIFICIAL INTELLIGENCE? • Intelligence exhibited by machines or software. • It is also the name of the scientific field which studies how to create computers and computer software that are capable of intelligent behaviour..
- 5. What Contributes to ARTIFICIAL INTELLIGENCE? As per the definition of AI, it is the science and technology which are based on regiments like Computer Science, Biology, Psychology, Linguistics, Mathematics, and Engineering.
- 6. Who invented the Artificial Intelligence? • The research on AI began in the early 1950 from various scientists and the scientist who named as JOHN McCarthi in the year 1955. Artificial Intelligence is a branch of science that refers to the ability of a computer program to perform functions and reach conclusions independently. Early advances in artificial intelligence were purely theoretical, while later programming efforts resulted in computer programs that could play games and even make scientific breakthroughs. Later artificial intelligence programs became more and more advanced, culminating in the technology of today.
- 7. What type of thing is ARTIFICIAL INTELLIGENCE? AI is intelligence is the simulation of human intelligence processes by machine(especially a computer system) these processes inculde learning , reasoning , and self correction.
- 8. Types of artificial intelligence • Weak AI– It is also known as narrow AI. It is designed and trained for a particular task. Example : virtual personal assistants. • Strong AI– It is also known as Artificial general intelligence (AGI). Is an AI system with generalized human coginitive abilities. Then presented with unfamiliar task "at least as smart as a typical human". Example : A strong AI system is able to find a solution without human interaction and intervention. Automous driving(self driving that is without driver).
- 9. HUMANOID ROBOT • Sophia is a social humanoid robot developed by Hong Kong based company Hanson Robotics. Sophia was activated on February 14, 2016. • And made its first public appearance at South by Southwest Festival (SXSW) in mid-March 2016 in Austin, Texas, United States. • It is able to display more than 50 facial expressions. • Sophia has been covered by media around the globe and has participated in many high-profile interviews. • In October 2017, Sophia became the first robot to receive citizenship of any country. • In November 2017, Sophia was named the United Nations Development Programme's first ever Innovation Champion, and is the first non-human to be given any United Nations title.
- 10. Applications of ARTIFICIAL INTELLIGENCE • Artificial Creativity • Automatic target recognition • Computer vision • Image processing • Intelligent word recognition • Object recognition • Game artificial intelligence • Natural language processing
- 11. AI Advantages • Avalibility • Reduction of error • Digital Assistants • Repetitive Job Unemployment • Handiling repetative jobs • Redusing human effort AI Disadvantages • Most expensive • No Replicating Humans • No Improvement with Experience • No Original Creativity • Restricted works ADVANTAGES AND DISADVANTAGES OF AI
- 12. THANK YOU!!