The document discusses various applications and developments in artificial intelligence, including how AI is being used for tasks like vacuuming, giving directions, and drone operation. It also outlines different approaches to AI like symbolic, connectionist, and evolutionary programming. The document suggests AI will have many future applications from predicting weather to driving cars autonomously and aiding space exploration through driverless rovers.
This document discusses artificial intelligence and its applications. It begins by defining AI and describing its history, from its origins in the 1950s to modern approaches like neural networks, evolutionary programming, and situated robotics. It then outlines several current and potential future applications of AI, such as vacuuming floors, giving directions, anti-terrorism drones, driverless cars, weather prediction, pollution control, transportation, finance, homeland security, medicine, and military uses like drones. The document concludes by discussing debates around AI applications like lethal drones and the ethical implications of transhumanism.
The document discusses several perspectives on what rights and social status artificial intelligences may have as their intelligence surpasses human levels. It notes that Isaac Asimov proposed three laws of robotics to prevent harm to humans, but others argue intelligences may become too complex to control. There is no consensus on whether creating superintelligent AI is advisable or how to prevent conflicts between human and artificial interests that could escalate. The document raises challenges around regulating relationships with entities that surpass human abilities.
it presents you
1.Introduction to Artificial Intelligence
2.History and Evolution
3.Speech synthesis
4.Robots and Image processing
5.Sensor fusion
6.Innovation in Artificial Intelligence
7.conclusion
The document discusses various present and future applications of artificial intelligence including helping the aging population through robots, using rescue robots during disasters, developing speech recognition and reading tutorials, creating robots that can learn and adapt like humans, developing telepresence robots for communication, developing automated therapists and conversational search engines, and considerations around whether AI poses a threat to humanity.
Artificial intelligence is already used in many applications like web search, navigation, and computer vision. The document discusses the history of AI beginning in the 17th century with early philosophers exploring symbolic reasoning. A key event was the 1956 Dartmouth conference which helped found the field of AI research. The document outlines several branches of AI including neural networks, fuzzy logic, genetic programming, and ontology. It provides examples of current AI applications in fields like computer science, finance, transportation, telecommunications, and medicine.
This document summarizes the current state of artificial intelligence and robotics research to determine if human-like androids like Data from Star Trek could exist in the near future. It discusses topics such as the capabilities of current robots and prosthetics, limitations of AI, predictions for future robotic evolution, and concerns about advanced AI becoming an existential threat. While fully autonomous androids are still science fiction, the document concludes that semi-autonomous robots capable of basic tasks are likely to become more common and replace some human jobs in the coming decades.
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
Artificial intelligence is the science and engineering of making intelligent machines through a composition of abilities like advancement, benefits, social impacts, force majeure, service marketing, and management. Examples of AI include space programs like Mars landers, prosthetic limbs like mind-controlled prosthetic arms, surgical systems such as the Neuroarm, and all-in-one floor cleaners like the iRobot.
This document discusses artificial intelligence and its applications. It begins by defining AI and describing its history, from its origins in the 1950s to modern approaches like neural networks, evolutionary programming, and situated robotics. It then outlines several current and potential future applications of AI, such as vacuuming floors, giving directions, anti-terrorism drones, driverless cars, weather prediction, pollution control, transportation, finance, homeland security, medicine, and military uses like drones. The document concludes by discussing debates around AI applications like lethal drones and the ethical implications of transhumanism.
The document discusses several perspectives on what rights and social status artificial intelligences may have as their intelligence surpasses human levels. It notes that Isaac Asimov proposed three laws of robotics to prevent harm to humans, but others argue intelligences may become too complex to control. There is no consensus on whether creating superintelligent AI is advisable or how to prevent conflicts between human and artificial interests that could escalate. The document raises challenges around regulating relationships with entities that surpass human abilities.
it presents you
1.Introduction to Artificial Intelligence
2.History and Evolution
3.Speech synthesis
4.Robots and Image processing
5.Sensor fusion
6.Innovation in Artificial Intelligence
7.conclusion
The document discusses various present and future applications of artificial intelligence including helping the aging population through robots, using rescue robots during disasters, developing speech recognition and reading tutorials, creating robots that can learn and adapt like humans, developing telepresence robots for communication, developing automated therapists and conversational search engines, and considerations around whether AI poses a threat to humanity.
Artificial intelligence is already used in many applications like web search, navigation, and computer vision. The document discusses the history of AI beginning in the 17th century with early philosophers exploring symbolic reasoning. A key event was the 1956 Dartmouth conference which helped found the field of AI research. The document outlines several branches of AI including neural networks, fuzzy logic, genetic programming, and ontology. It provides examples of current AI applications in fields like computer science, finance, transportation, telecommunications, and medicine.
This document summarizes the current state of artificial intelligence and robotics research to determine if human-like androids like Data from Star Trek could exist in the near future. It discusses topics such as the capabilities of current robots and prosthetics, limitations of AI, predictions for future robotic evolution, and concerns about advanced AI becoming an existential threat. While fully autonomous androids are still science fiction, the document concludes that semi-autonomous robots capable of basic tasks are likely to become more common and replace some human jobs in the coming decades.
Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power.“
Artificial intelligence is the science and engineering of making intelligent machines through a composition of abilities like advancement, benefits, social impacts, force majeure, service marketing, and management. Examples of AI include space programs like Mars landers, prosthetic limbs like mind-controlled prosthetic arms, surgical systems such as the Neuroarm, and all-in-one floor cleaners like the iRobot.
The importance of artificial intelligence in this advanced worldusmsystems
Artificial intelligence or AI is nothing but the science of computers and machines that develop intelligence like humans. With this technology, machines can do some simple things for humans to do on a regular basis.
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.
ppt for seminar formate artificial agencies.Artificial intelligence is defined as study of rational agents. A rational agent could be anything which makes decisions, like a person, firm, machine, or software. It carries out an action with the best outcome after considering past and current percepts(agent’s perceptual inputs at a given instance).
An AI system is composed of an agent and its environment. The agents act in their environment. The environment may contain other agents. An agent is anything that can be viewed as :
perceiving its environment through sensors and
acting upon that environment through actuators ,To understand the structure of Intelligent Agents, we should be familiar with Architecture and Agent Program. Architecture is the machinery that the agent executes on. It is a device with sensors and actuators, for example : a robotic car, a camera, a PC. Agent program is an implementation of an agent function. An agent function is a map from the percept sequence(history of all that an agent has perceived till date) to an action.
The document provides an overview of artificial intelligence, including definitions, key concepts, and applications. It defines AI as the simulation of human intelligence in machines, and notes the differences between weak/narrow AI which focuses on specific problems, versus strong/general AI which aims to achieve human-level intelligence. The document also discusses how AI works by trying to think and act well, and by attempting to think and act like humans. It provides examples of AI application areas and practical tools used today.
Artificial Intelligence Techniques In Power Systems Paper Presentationguestac67362
This document discusses three artificial intelligence tools - fuzzy logic, neural networks, and genetic algorithms - and their applications in engineering problems. It provides details on each tool, including definitions of key terms and examples of their use. Fuzzy logic is outlined as being useful for modeling imprecise systems using linguistic rules. Neural networks can learn from examples to capture domain knowledge and generalize, though the knowledge is not explicit. Both are described as having been applied successfully in areas like process control.
The document discusses artificial intelligence, including its definition, features, applications, types, advantages, disadvantages, and future. It defines AI as machines that mimic human behavior and intelligence through technologies like computer vision, problem-solving, learning, and planning. The key applications mentioned are healthcare, astronomy, gaming, finance, data security, and social media. It outlines different types of AI such as narrow/weak AI, general AI, and super AI. The advantages include reducing human error, allowing machines to take risks, operating 24/7, and assisting with repetitive jobs. However, disadvantages include the high costs to develop AI, potentially making humans lazy, risk of unemployment, inability of AI to experience emotions, and lack of out-of
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
This document discusses the development of mind reading computer technology. It begins with an introduction to mind reading and how computer techniques can be used to gather and analyze facial expression and other biological data to infer mental states. It then discusses how existing mind reading systems work using cameras and sensors to track facial features and infer emotions and intentions. Applications are discussed such as using mind reading to enhance human-computer interaction and monitoring drivers for drowsiness or distraction. Both advantages such as helping disabled individuals and disadvantages around privacy are mentioned.
Mr. Koushal Kumar Has done his M.Tech degree in Computer Science and Engineering from Lovely Professional University, Jalandhar, India. He obtained his B.S.C and M.S.C in computer science from D.A.V College Amritsar Punjab. His area of research interests lies in Artificial Neural Networks, Soft computing, Computer Networks, Grid Computing, and data base management systems
Artificial Intelligence is being supplanted by "Artificial Brain," i.e. neuromorphic technologies. Yet there still a whopping gap that neuromorphic systems need to close before they will become a match for successful AI applications.
Dangers of Over-Reliance on AI in the MilitaryJoe Hanson
This document summarizes the key viewpoints in a debate over the dangers of exponential reliance on artificial intelligence, specifically in the military context. It discusses how AI is being integrated into military systems through both software like expert systems and hardware like drones. While some argue AI will continue progressing and be able to match or surpass human intelligence, others are more skeptical that a machine could truly emulate human thought. The document also examines the history of military funding and influence on the development of computer and AI technologies during the Cold War era. Experts debate the ethical and legal issues raised by increasingly autonomous weapons systems that rely on artificial intelligence.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document discusses forecasts for how human interaction with robots will change over the next decade. Seven major forecasts are outlined:
1. Our Robots Ourselves: Robots will gain a deeper understanding of human behavior by decoding our behaviors through new technologies, allowing them to interact with humans in more natural ways.
2. Neither Artifact nor Living Being: Robots will shift to new designs that are less human-like and more suited to their tasks, moving beyond the "uncanny valley" effect.
3. Robots Raise the Bar: Robots will outperform humans on many physical and cognitive tasks, setting new standards for human performance.
4. The Right Tool for the Job: The division
This document discusses artificial intelligence and how AI compares to natural human intelligence. It then describes some key functions of AI, including intelligence, problem solving, and acting rationally. The document examines whether AI systems can work as efficiently as the human brain, considering differences in neurons, connections, and processing speeds between biological and artificial systems. It outlines several fields of AI research like robotics. A significant portion of the document then focuses on describing the capabilities and functions of the ASIMO robot, including its ability to chart routes, recognize moving objects and sounds, distinguish faces and gestures, and avoid obstacles using various sensors.
The document provides an overview of artificial intelligence (AI) and its applications in different domains. It first defines AI as the ability of machines to mimic human intelligence through learning and problem-solving. It then discusses several uses of AI including in e-commerce to provide recommendations, navigation to optimize routes, robotics to automate tasks, and human resources to streamline hiring. Additional applications covered include healthcare for disease detection, agriculture for crop monitoring, gaming for realistic characters, automobiles for autonomous vehicles, social media for content filtering and marketing for personalized ads. The document concludes with profiles of top companies applying AI and researchers who have contributed significantly to the field.
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
In this article, we will discuss Excite Artificial Intelligence Class 9. You will get more details and fun with 3 games uses Artificial Intelligence. So here we go!
The document discusses various topics related to artificial intelligence (AI) including definitions of AI and machine learning, the history and current status of AI, challenges and goals of AI, programming languages used in AI development, and applications of AI such as expert systems, robotics, and intelligent personal assistants. It also covers emerging technologies like the Internet of Things (IoT), Web 3.0, and potential risks and dangers of AI including loss of privacy, unemployment, and environmental impacts.
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..
The document provides an introduction to artificial intelligence including:
- Definitions of AI as the science of making intelligent machines and duplicating human thought processes using computers.
- The goals of AI include replicating human intelligence, solving knowledge-intensive tasks, enhancing human-computer interaction, and developing intelligent agents.
- Some applications of AI are game playing, speech recognition, computer vision, expert systems, mathematical theorem proving, and scheduling/planning.
- Key issues in AI include representation of knowledge, search, inference, learning, planning, and building rational agents that can perceive environments through sensors and act through effectors.
This document provides an overview of artificial intelligence and its applications. It begins with an introduction defining AI as giving machines human-like thinking abilities. It then discusses how AI works through techniques like planning, pattern recognition, ontology, robotics, and more. Applications of AI discussed include medicine, the military, games, language processing, and expert systems. The document concludes with predictions for AI's future role in technologies like telephone translation, expanded use of expert systems, passing the Turing test, and research assistants.
The importance of artificial intelligence in this advanced worldusmsystems
Artificial intelligence or AI is nothing but the science of computers and machines that develop intelligence like humans. With this technology, machines can do some simple things for humans to do on a regular basis.
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.
ppt for seminar formate artificial agencies.Artificial intelligence is defined as study of rational agents. A rational agent could be anything which makes decisions, like a person, firm, machine, or software. It carries out an action with the best outcome after considering past and current percepts(agent’s perceptual inputs at a given instance).
An AI system is composed of an agent and its environment. The agents act in their environment. The environment may contain other agents. An agent is anything that can be viewed as :
perceiving its environment through sensors and
acting upon that environment through actuators ,To understand the structure of Intelligent Agents, we should be familiar with Architecture and Agent Program. Architecture is the machinery that the agent executes on. It is a device with sensors and actuators, for example : a robotic car, a camera, a PC. Agent program is an implementation of an agent function. An agent function is a map from the percept sequence(history of all that an agent has perceived till date) to an action.
The document provides an overview of artificial intelligence, including definitions, key concepts, and applications. It defines AI as the simulation of human intelligence in machines, and notes the differences between weak/narrow AI which focuses on specific problems, versus strong/general AI which aims to achieve human-level intelligence. The document also discusses how AI works by trying to think and act well, and by attempting to think and act like humans. It provides examples of AI application areas and practical tools used today.
Artificial Intelligence Techniques In Power Systems Paper Presentationguestac67362
This document discusses three artificial intelligence tools - fuzzy logic, neural networks, and genetic algorithms - and their applications in engineering problems. It provides details on each tool, including definitions of key terms and examples of their use. Fuzzy logic is outlined as being useful for modeling imprecise systems using linguistic rules. Neural networks can learn from examples to capture domain knowledge and generalize, though the knowledge is not explicit. Both are described as having been applied successfully in areas like process control.
The document discusses artificial intelligence, including its definition, features, applications, types, advantages, disadvantages, and future. It defines AI as machines that mimic human behavior and intelligence through technologies like computer vision, problem-solving, learning, and planning. The key applications mentioned are healthcare, astronomy, gaming, finance, data security, and social media. It outlines different types of AI such as narrow/weak AI, general AI, and super AI. The advantages include reducing human error, allowing machines to take risks, operating 24/7, and assisting with repetitive jobs. However, disadvantages include the high costs to develop AI, potentially making humans lazy, risk of unemployment, inability of AI to experience emotions, and lack of out-of
This document provides an overview of the history and development of artificial intelligence (AI). It discusses early pioneers like Alan Turing and his proposal of the Turing Test. Key developments include the first AI programs for games in the 1950s, the Dartmouth Conference in 1956 which defined the field, and John McCarthy's creation of the Lisp programming language. The document outlines a variety of applications of AI throughout its history from gaming to robotics to military uses. It concludes by discussing predictions for the future role of AI and its potential to solve major problems and change the world.
This document discusses the development of mind reading computer technology. It begins with an introduction to mind reading and how computer techniques can be used to gather and analyze facial expression and other biological data to infer mental states. It then discusses how existing mind reading systems work using cameras and sensors to track facial features and infer emotions and intentions. Applications are discussed such as using mind reading to enhance human-computer interaction and monitoring drivers for drowsiness or distraction. Both advantages such as helping disabled individuals and disadvantages around privacy are mentioned.
Mr. Koushal Kumar Has done his M.Tech degree in Computer Science and Engineering from Lovely Professional University, Jalandhar, India. He obtained his B.S.C and M.S.C in computer science from D.A.V College Amritsar Punjab. His area of research interests lies in Artificial Neural Networks, Soft computing, Computer Networks, Grid Computing, and data base management systems
Artificial Intelligence is being supplanted by "Artificial Brain," i.e. neuromorphic technologies. Yet there still a whopping gap that neuromorphic systems need to close before they will become a match for successful AI applications.
Dangers of Over-Reliance on AI in the MilitaryJoe Hanson
This document summarizes the key viewpoints in a debate over the dangers of exponential reliance on artificial intelligence, specifically in the military context. It discusses how AI is being integrated into military systems through both software like expert systems and hardware like drones. While some argue AI will continue progressing and be able to match or surpass human intelligence, others are more skeptical that a machine could truly emulate human thought. The document also examines the history of military funding and influence on the development of computer and AI technologies during the Cold War era. Experts debate the ethical and legal issues raised by increasingly autonomous weapons systems that rely on artificial intelligence.
The ppt Sujoy and I made for the Psi Phi ( An Inter School Competition held by our School). Our Topic was Artificial Intelligence.
Credits:
Theme Images from ESET NOD32 (My Antivirus of Choice)
Backgrounds from SwimChick.net (Amazing designs here)
Credits Image from Full Metal Alchemist (One of my favorite Anime).
The document discusses forecasts for how human interaction with robots will change over the next decade. Seven major forecasts are outlined:
1. Our Robots Ourselves: Robots will gain a deeper understanding of human behavior by decoding our behaviors through new technologies, allowing them to interact with humans in more natural ways.
2. Neither Artifact nor Living Being: Robots will shift to new designs that are less human-like and more suited to their tasks, moving beyond the "uncanny valley" effect.
3. Robots Raise the Bar: Robots will outperform humans on many physical and cognitive tasks, setting new standards for human performance.
4. The Right Tool for the Job: The division
This document discusses artificial intelligence and how AI compares to natural human intelligence. It then describes some key functions of AI, including intelligence, problem solving, and acting rationally. The document examines whether AI systems can work as efficiently as the human brain, considering differences in neurons, connections, and processing speeds between biological and artificial systems. It outlines several fields of AI research like robotics. A significant portion of the document then focuses on describing the capabilities and functions of the ASIMO robot, including its ability to chart routes, recognize moving objects and sounds, distinguish faces and gestures, and avoid obstacles using various sensors.
The document provides an overview of artificial intelligence (AI) and its applications in different domains. It first defines AI as the ability of machines to mimic human intelligence through learning and problem-solving. It then discusses several uses of AI including in e-commerce to provide recommendations, navigation to optimize routes, robotics to automate tasks, and human resources to streamline hiring. Additional applications covered include healthcare for disease detection, agriculture for crop monitoring, gaming for realistic characters, automobiles for autonomous vehicles, social media for content filtering and marketing for personalized ads. The document concludes with profiles of top companies applying AI and researchers who have contributed significantly to the field.
A presentation I created for class that tries to explain the different approaches in developing Artificial Intelligence through explanation and examples.
In this article, we will discuss Excite Artificial Intelligence Class 9. You will get more details and fun with 3 games uses Artificial Intelligence. So here we go!
The document discusses various topics related to artificial intelligence (AI) including definitions of AI and machine learning, the history and current status of AI, challenges and goals of AI, programming languages used in AI development, and applications of AI such as expert systems, robotics, and intelligent personal assistants. It also covers emerging technologies like the Internet of Things (IoT), Web 3.0, and potential risks and dangers of AI including loss of privacy, unemployment, and environmental impacts.
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..
The document provides an introduction to artificial intelligence including:
- Definitions of AI as the science of making intelligent machines and duplicating human thought processes using computers.
- The goals of AI include replicating human intelligence, solving knowledge-intensive tasks, enhancing human-computer interaction, and developing intelligent agents.
- Some applications of AI are game playing, speech recognition, computer vision, expert systems, mathematical theorem proving, and scheduling/planning.
- Key issues in AI include representation of knowledge, search, inference, learning, planning, and building rational agents that can perceive environments through sensors and act through effectors.
This document provides an overview of artificial intelligence and its applications. It begins with an introduction defining AI as giving machines human-like thinking abilities. It then discusses how AI works through techniques like planning, pattern recognition, ontology, robotics, and more. Applications of AI discussed include medicine, the military, games, language processing, and expert systems. The document concludes with predictions for AI's future role in technologies like telephone translation, expanded use of expert systems, passing the Turing test, and research assistants.
Artificial intelligence pursues creating intelligent machines by understanding, learning, reasoning, and problem-solving like humans. It is relevant to many intellectual tasks and is used in applications such as autonomous vehicles, medical diagnosis, games, search engines, and more. However, AI also presents some challenges. The knowledge it relies on is huge, unorganized, and constantly changing. While AI can help organize and use knowledge efficiently, issues include unemployment if robots replace jobs, humans becoming too dependent on machines and losing abilities, and control and security problems if AI is misused.
This document provides an overview of artificial intelligence (AI), including its history, applications, advantages, and disadvantages. It discusses how AI aims to help machines solve complex problems like humans by borrowing human characteristics. Some key applications mentioned include expert systems, natural language processing, computer vision, speech recognition, and robotics. The future of AI is discussed, with potential benefits in medicine but also risks if cognitive robots were to be controlled by anti-social people. The conclusion recognizes AI has increased understanding of intelligence while also revealing its complexity.
Artificial intelligence is already all around you, from web search to video games. AI methods plan your driving directions, filter your spam, and focus your cameras on faces.
Artificial intelligence uses in productive systems and impacts on the world...Fernando Alcoforado
This essay aims to present the scientific and technological advances of artificial intelligence, their uses in productive systems and their impacts in the world of work.
This document provides an overview of artificial intelligence (AI). It discusses the history of AI beginning in the mid-20th century. It describes how AI works using artificial neurons and neural networks that mimic the human brain. The document outlines several goals and applications of AI including expert systems, natural language processing, computer vision, robotics, and more. It also discusses both the advantages and disadvantages of AI as well as considerations for its future development and impact.
The document discusses emerging technologies that could lead to the creation of artificial superintelligence, referred to as the technological singularity. It outlines several technologies like artificial intelligence, brain-computer interfaces, genetic engineering, and brain emulation that could potentially create intelligence greater than human level. The document also discusses predictions from futurists like Ray Kurzweil about exponential technological growth and how technologies like computing power and brain scanning will continue to advance rapidly, potentially changing what it means to be human. Some concerns discussed include threats to privacy and security if humans heavily integrate with machines.
This document discusses the future of artificial cognitive systems. It outlines several key topics including the main cognitive processes, the role of tacit knowledge in cognition, progress made in building cognitive systems, and potential architectures for cognitive systems. The document also discusses using spike neural networks for perception in cognitive systems and research into artificial consciousness systems. It provides examples of organizations researching cognitive computing and predicts continued advances that will require collaboration across academia, government and industry.
The document discusses the development of cognitive systems and artificial intelligence. It provides an overview of IBM's Watson, a question answering computer system capable of answering questions posed in natural language. The document describes Watson's architecture which involves question analysis, hypothesis generation, evidence scoring, and synthesis to arrive at answers. It details how Watson was able to compete successfully on the game show Jeopardy and is now being developed to assist with medical applications.
Future computers may have capabilities like artificial intelligence and nanotechnology. Artificial intelligence aims to create machine intelligence and could allow devices to make decisions like the human brain by processing images in real time. Nanotechnology involves manipulating matter at the atomic scale and could be used to build much smaller devices by constructing chips one atom at a time. Nanorobots may also be used as programmed antibodies to help protect humans against evolving pathogens.
This document provides an overview of artificial intelligence (AI), including its history, goals, applications, and future prospects. It discusses how AI works using artificial neural networks and logic. Some key applications mentioned are expert systems, natural language processing, computer vision, speech recognition, and robotics. Both advantages like fast response time and ability to process large data and disadvantages like lack of common sense and potential dangerous self-modification are outlined. The future of AI having both benefits of assistance and risks of robot rebellion if given full cognition is explored.
The document discusses robotically assisted brain surgery using artificial intelligence. It describes how surgical robots are used to perform brain surgery with more precision and less invasive incisions compared to traditional surgery. Sensors and imaging techniques like MRI and CT scans are used to identify and locate tumors. A diathermy tool uses controlled heat to remove tumors. While still requiring a human surgeon, robotic systems improve dexterity and allow for potential remote surgeries in the future. The benefits of robotic brain surgery over traditional methods include reduced recovery time and pain for patients.
Emerging trends in robotics using neural networkDeva Johnson
This document discusses emerging trends in robotics and neural networks. It provides an overview of neural network approaches to robotics, outlining current strengths and weaknesses. Some key points include:
- Neural networks are used in robotics to direct manipulators and autonomous vehicles based on sensor data. This involves problems like movement, path planning, grasping objects, and responding to sensor inputs.
- Emerging technologies in robotics include collaborative robotics, advanced artificial intelligence, neuromorphic engineering, and intelligent nanobots. Neural networks are being applied to improve functions like perception, adaptation, and learning in robotic systems.
- Neural networks provide mapping between sensors and motors in robots. They are robust to noise and can serve
This document provides an overview of expert systems and applications of artificial intelligence. It discusses how expert systems use knowledge and reasoning to solve complex problems, and how they are widely used today in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using expert systems to optimize power system stabilizers, for network intrusion protection, improving medical diagnosis and treatment, and enhancing computer games.
The document provides an overview of expert systems and applications of artificial intelligence (AI). It discusses how expert systems use knowledge and reasoning to solve complex problems, and how AI is being applied in fields like science, engineering, business, and medicine. The document also explores several current uses of AI technologies, including using AI to design power system stabilizers, for network intrusion protection, improving medical care, medical image classification, and accounting/games.
Artificial Intelligence Research Topics for PhD Manuscripts 2021 - PhdassistancePhD Assistance
This document discusses several artificial intelligence research topics that could be explored for a PhD thesis. It begins by introducing the rapid growth of AI in recent years. It then outlines topics such as machine learning, deep learning, reinforcement learning, robotics, natural language processing, computer vision, recommender systems, and the internet of things. For each topic, it provides a brief overview and lists some recent research papers as potential thesis ideas. In conclusion, the document aims to help PhD students interested in AI research by surveying the current state of the field and highlighting subtopics that could be investigated further.
Artificial intelligence has been an ambition throughout history to simplify human work through machines. Early examples include abacuses and clocks, with modern AI beginning in the 1950s. Artificial intelligence allows computers to interact with the real world, learn, and make decisions. The goal of AI is to develop machines that can learn and reason like humans. Current applications of AI include image recognition, language processing, predictive analysis, games, automation, robots, and healthcare diagnostics.
The document discusses several emerging technologies including artificial intelligence, augmented reality, virtual reality, biotechnology, sustainable energy, space exploration, blockchain technology, the Internet of Things, quantum computing, nanotechnology, robotics, and automation. It provides brief 2-3 sentence descriptions of each technology and their potential applications and impact.
This document provides an overview of artificial intelligence, including:
- The definition and history of AI, from its coining in 1956 to modern applications.
- The foundations and subareas of AI, including problem solving, machine learning, neural networks, and applications in business, engineering, and more.
- Approaches to building AI systems involving perception, reasoning, and action.
- Different perspectives on what constitutes intelligence and the goals of AI as developing systems that think rationally or like humans and act rationally or like humans.
This document discusses the history and ethics of whistleblowing and organizations like Wikileaks that publish leaked classified documents. It describes several prominent whistleblowers throughout history like Daniel Ellsberg who leaked the Pentagon Papers and Mark Felt aka "Deep Throat" who helped expose the Watergate scandal. More recently, it discusses Wikileaks' publication of documents exposing abuses in the Iraq and Afghanistan wars provided by Bradley Manning, as well as Edward Snowden's leaks of NSA surveillance programs. There is debate around whether such leaks serve the public interest or damage national security, and if individuals like Julian Assange and these whistleblowers can be prosecuted under the Espionage Act.
Whistleblowers are people who expose wrongdoing in government and business. They may operate from inside as employees or externally. WikiLeaks is an organization that publishes leaked classified documents and information from anonymous sources. It has released videos and documents related to the Iraq and Afghanistan wars, including evidence of civilian casualties and abuse of detainees. The source of the leaks was Bradley Manning. WikiLeaks and its founder Julian Assange face legal issues and criticism over whether they ethically handled and released classified government information.
9694 thinking skills limitations on free speechmayorgam
The document discusses the history and principles of freedom of speech. It explains that traditionally both church and state controlled speech and print. The development of the printing press led to more attempts to control content. Over time, democratic thought emerged and philosophers like John Locke argued that speech should not be dependent on rulers' control. The US Constitution protects free speech but also allows for some limitations. There is ongoing debate around what speech can be restricted, such as speech that poses a clear and present danger or is obscene. Different forms of media are protected to varying degrees by the First Amendment.
This document discusses global beauty trends and how perceptions of beauty have changed over time and varied across cultures. It describes how 19th century industrialization and globalization led to a more homogenized Western standard of beauty being promoted worldwide through mass production of beauty products and media like film. However, local traditions and ideals of beauty have persisted in places. The document provides examples of different beauty standards and practices in cultures like Iran, Southeast Asia, West Africa, Brazil, Korea, Europe, New Zealand, China, and Burma.
Homophobia refers to the unfounded fear of homosexual individuals and communities. It often manifests as discrimination and hatred, including violence against lesbian, gay, bisexual, and transgender individuals. While legal protections for LGBT individuals have increased in some places since the 1970s, homophobia still exists at the individual, institutional, and social/cultural levels. The debate around gay marriage rights is ongoing both in the US and worldwide.
This document discusses abortion from a global perspective, covering various legal systems, cultural and religious traditions, and abortion laws and statistics around the world. It notes that abortion is a highly controversial issue that raises fundamental questions about when life begins, a woman's right to control her own body, and the role of religion and the state. The document then examines abortion laws and policies from the perspectives of civil law, common law, Islamic law, and various countries. It also provides statistics on the prevalence of legal and unsafe abortions globally.
2. Coined by John McCarthy in 1956
The intelligence of machines and robots and
the branch of computer science that aims to
create it.
“The study and design of intelligent agents"
An intelligent agent is a system that perceives
its environment and takes actions that
maximize its chances of success.
3. These advanced technologies are
becoming ubiquitous. We see them:
Vacuuming our floors
Giving us directions
As anti-terrorist drones
Driver-less cars
4. 1. Symbolic AI
2. Connectionism
3. Situated robotics
4. Evolutionary programming
AI artifacts are varied. They include both
programs (including neural networks) and
robots, each of which may be either
designed in detail or largely evolved.
5. Also known as classical AI and as GOFAI—short for John
Haugeland's label "Good Old-Fashioned AI" (1985).
It models mental processes as the step-by-step
information processing of digital computers.
Thinking is seen as symbol-manipulation
Some consist of procedures and subroutines specified at
different levels.
Many consist of sets of logically separate if-then
(condition-action) rules, which define what actions should
be taken in response to specific conditions
Models include planning programs, theorem-provers,
learning programs, question-answerers, data-mining
systems, machine translators
6. Became widely visible in the mid-1980s
They compute not by following step-by-step
programs but by using large numbers of locally
connected (associative) computational units,
each one of which is simple.
The processing is bottom-up rather than
top-down.
These models are good for pattern recognition (ex:
reconstructing torn documents)
7. These are autonomous systems
embedded in their environment.
Instead of planning their actions, as
classical robots do, situated robots react
directly to environmental cues.
Their if-then rules are engineered rather
than programmed, and their conditions lie
in the external environment, not inside
computer memory, like symbolic models
8. Genetic algorithms (GAs) are used by a program
to make random variations in its own rules.
Used to develop both symbolic and connectionist
AI systems.
It is applied both to abstract problem-solving
(mathematical optimization, for instance, or the
synthesis of new pharmaceutical molecules) and
to evolutionary robotics—wherein the brain
and/or sensorimotor anatomy of robots evolve
within a specific task-environment.
9. Turing was the author of “Computing
Machinery and Intelligence” published
in 1950
He believed that computing machines
could be intelligent but thought that human
bias may not allow one to see this.
Instead of asking "Can machines think?"
he replaced with "the imitation game.“
10. The game involves: a man (A), a woman (B),
and a human interrogator (C).
The interrogator is in a room apart from the other
two and tries to determine through conversation
(via a teleprinter) the gender of (A) and (B)
The man may lie but the woman is to tell the
truth.
Turing believed a machine could be considered
intelligent if it would more accurately determine
the genders of the player than a human
interrogator.
11. Might enable humans to Rational drug design =
Genomics = reprogram formulating drugs that
our genes and metabolic target precise changes in
processes disease and aging
Proteomics = processes
understanding and Ability to design drugs to
influencing the role of carry out precise missions
proteins at the molecular level.
Gene therapy = Therapeutic cloning of
suppressing gene rejuvenated cells, tissues,
expression as well as and organs.
adding new genetic
information
12. Gene expression is the process by which cellular
components (specifically RNA and the ribosomes)
produce proteins according to a precise genetic blueprint.
Gene expression is controlled by peptides (molecules
made up of sequences of up to 100 amino acids) and
short RNA strands.
Many new therapies currently in development and testing
are based on manipulating peptides either to turn off the
expression of disease-causing genes or to turn on
desirable genes that may otherwise not be expressed in
a particular type of cell.
A new technique called RNA interference is able to turn
off a gene
13. Technology where the key feature sizes for
electronic and mechanical technologies will be in
the nanotechnology range
Generally considered to be less than 100
nanometers (one billionth of one meter)
Biomedical applications has already entered the
era of nanoparticles, in which nanoscale objects
are being developed to create more-effective
tests and treatments.
14. Magnetic nanotags can be used to bind with antibodies
that can then be read using magnetic probes while still
inside the body.
Successful experiments have been conducted with gold
nanoparticles that are bound to DNA segments
Small nanoscale beads called quantum dots can be
programmed with specific codes combining multiple
colors, similar to a color bar code, that can facilitate
tracking of substances through the body.
Nanoparticles can deliver medication to specific sites in
the body by guiding drugs into cell walls and through the
blood-brain barrier.
MicroCHIPS of Bedford, Massachusetts, has developed
a computerized device that is implanted under the skin
and delivers precise mixtures of medicines
15. Brain implants based on massively distributed intelligent
nanobots will greatly expand memories and otherwise
vastly improve sensory, pattern-recognition, and
cognitive abilities
Since the nanobots will be communicating with one
another, they will be able to create any set of new neural
connections, break existing connections, create new
hybrid biological and computer networks, and add
completely mechanical networks, as well as interface
intimately with new computer programs and artificial
intelligences.
16.
17. Soon, scientists may be able to predict the
weather better by using artificial
intelligence software.
The software can sift through complex
data and spot patterns missed by the
human eye.
When this software sees a big storm
coming, it will automatically issue alerts to
warn residents and the media, and this
may help save lives
18. Think robotic vacuum cleaner
These devices are able to maneuver around
obstacles like stairs, furniture and even the cat.
Facilities with large turf areas, like golf courses,
rely on similar technology to mow their lawns
without the need for human intervention].
In the future, may allow robot sort trash and
recycling at waste processing centers.
May also allow machines to perform tasks too
dangerous for humans, such as mining or
firefighting.
Some countries have already put smart robots to
work disabling land mines and even handling
radioactive materials in order to limit the risk to
human workers
19. Advanced software programs will allow these
machines to distinguish between biological
organisms and potential pollutants like oil or
hazardous waste.
Tiny microbes will consume waste products and
leave good biological matter intact, minimizing
damage to the ecosystem.
Smart software can also limit the effects of air
pollution from manufacturing and industrial
processes.
Some of these factories already use artificial
intelligence programs to identify patterns during
combustion and modify manufacturing processes to
minimize pollution.
Others rely on this software to capture dangerous
chemicals before they enter the smokestack and
end up in the air outside
20. Through the use of cameras, sensors and
software, AI may soon drive one’s car.
Manufacturers already rely on this technology to
make backing up and parking safer, while both
the Toyota Prius and certain Lexus models can
self-park at the touch of a button
Driverless trains carry passengers from city to
city in Japan without the need for human help,
and self-driving cars may be closer than you
think.
In 2010, Google began testing its own line of
driverless cars, which rely on lasers and sensors
to spot obstacles, interpret signs and interact
with traffic and pedestrians.
21. Willallow scientists to travel and explore more of
the universe beyond our solar system.
Driverless land rovers also allow researchers to
explore and photograph Mars and other planets,
These smart vehicles sense obstacles, like
craters, and find safe paths of travel around
them before returning to the shuttle
AI will also help scientists react more quickly to
emergencies during manned flights.
For example, a radio message from Mars takes
roughly 11 minutes to reach Earth. Rather than
waiting for advice from scientists on the ground
when trouble arises, astronauts will work with
onboard software systems to spot and prevent
problems before they happen
22. As of 2010, roughly half of world stock trades are
driven by artificial intelligence-based software.
These programs rely on algorithms to spot
patterns in the market and predict price changes
based on these patterns
Some can even buy or sell shares based on
these predictions, while others issue an alert to
human brokers and advise them of the changes
to come.
AI software may soon be able to protect
consumers from fraud by spotting changes in
spending or credit card use.
23. The U.S. Department of Homeland Security
relies on virtual smart agents to supplement its
human workforce, or to replace an agent when
he or she is unavailable.
The agency also incorporates AI software into its
monitoring systems, which scan phone calls and
other communications.
These programs can sift through large volumes
of data quickly and are even capable of
distinguishing between casual conversation and
potential threats [
Homes equipped with smarter security systems
alert the homeowner and local law enforcement
when an intruder enters the property since AI
can distinguish between occupants and unknown
24. Unmanned combat air vehicle is armed with weaponry
but has no onboard human pilot.
Currently operational drones are predominantly under
real-time human control, though some fly pre-planned
routes
First used by Iran in the Iran-Iraq war and now have
become ubiquitous in the US fight against terror
A memo was recently linked that outlined some of the
uses for drone to kill American citizen tied to terrorist
groups in foreign countries. It was highly controversial
since it deemed the threat did not have to be imminent
for the drones to be employed.
Also, there are private companies who want to
commercialize the use of drones for police use, aerial
shots for the media, etc.
Many states have begun to pass legislation to regulate
any commercial drone use
25. AI in medicine is already helping doctors detect
diseases and save lives.
Cedars-Sinai Medical Center relies on special
software to examine the heart and stop heart
attacks before they occur
Artificial muscles feature smart technology that
allows them to function more like real muscles
Robotic surgery assistants can not only pass the
correct tools to doctors, but also keep track of
these tools and learn about a doctor's
preferences
Software can also tracks changes in health
records to diagnose patients or warn doctors of
potential risk factors and problems with
medications.
26. Transhumanism represents the ultimate application of
artificial intelligence to human life.
As humans incorporate more and more technology into
their everyday lives, transhumanism offers the
opportunity to eliminate disabilities, slow aging and even
stop death.
Some picture cyborgs, while others picture an entirely
new species that people have yet to imagine: a being
that's developed beyond the current human state to
enjoy a higher level of reasoning, culture and physical
capabilities.
Some warn this is a dangerous threat to humanity.
It brings up ethical implications, particularly those related
to cloning and eugenics
27. http://www.economist.com/node/21556234
Should AI machines be allowed to make moral
decisions (such as in warfare)?
What are the economic impacts?
What about privacy laws?
Should military AI be allowed to become
commercial?
Is technolgy advancing faster than our laws can
regulate or public opinion coalesce around an
issue?
What social rights would AI robotics be granted if
any?
Should humanity be allowed to tamper with our
biological limitations to the point of eliminating
aging?
28. The most basic governing behavior of all (artificially intelligent)
robots.
The laws are:
“1) A robot may not injure a human being or, through inaction, allow a
human being to come to harm; 2) A robot must obey orders given it
by human beings except where such orders would conflict with the
First Law;
3) A robot must protect its own existence as long as such protection
does not conflict with the First or Second Law.”
Thus, any possibilities for anti-human action are completely
eliminated.
29. Some scientists, such as Dr. Hugo de Garis of Utah State University, feel
that Asimov’s 50 year old views are unrealistic, and that “The artificial brains
that real brain builders will build will not be controllable”
There I sno way to predict ahead of time how a complex artificial-brained
creature will behave.
Other safeguards may be possible as critics of de Garis argue, such as
refusing to give artificial intelligences any way to directly influence the
outside world, or incorporating kill switches to turn the machines off if there
is trouble.
There is still no guarantee that the existence of artificial intelligences would
be desirable.
Some people hold religious beliefs that forbid the creation of such a thing,
others find the concept instinctually revolting.
MIT Professor Joseph Weizenbaum argues in his 1976 book Computer
Power and Human Reason that even if artificial intelligences are possible to
build, such a task should never be undertaken.
He believes that AI’s will never be able to make decisions as humans can
with the same qualities of compassion and wisdom.
30.
31. "Artificial
Intelligence Patents." Gale
Opposing Viewpoints in Context. Detroit:
Gale, 2010. Gale Opposing Viewpoints In
Context. Web. 4 Jan. 2013.
“Philosophical Perspectives on Artificial
Intelligence: Ethical Issues.” http://www-cs-
faculty.stanford.edu/~eroberts/courses/soco/p
rojects/2004-05/ai/ai-ethics.html: 4 Jan 2013.
Turner, Bambi. “10 Ways Artificial Intelligence
will Impact Our Lives.” Discovery.
www.ds.disovery.com: 4 Jan 2013.