The document discusses artificial intelligence (AI) and what it is. It provides the definition of AI as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It also notes that 13% of people don't know what AI is and are surprised by the definition, while 85% are comfortable buying products and services online and only 30% are comfortable using self-driving cars.
Keith Van Norman of the University of Oregon Health Center reviews lessons learned while developing a sexpositive smartphone app for university students. Presented at YTH Live 2014 session "Apps for Sexual Health: Lessons Learned in Development."
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Keywords—EK-TM4C1294XL; Mpu Beagleboard
This document provides an overview of a talk on quick and cheap usability techniques for programmers. The talk will cover methods for getting actionable feedback from users through inexpensive usability testing. While it won't provide an in-depth history of the usability field or all techniques, it will discuss tips like testing with 3 people at least monthly and iterating designs based on their feedback. The overall goal is to help programmers prioritize users' experiences over just fixing errors.
This risk assessment document outlines potential hazards for a student project creating an animated Lego film. It identifies risks of choking on Lego pieces, stepping on loose Lego, and tripping over lighting wires. The document states that only film group members should handle Lego, all floor Lego should be picked up, and cables should be tucked away or taped down to mitigate these risks. It requires sign off from an assessor and teacher before production to ensure safety precautions are followed.
This document proposes a fall detection application that uses a smartphone's accelerometer to detect if the device has fallen. If a fall is detected, the app audibly alerts the user and asks if they actually fell. If the user responds "yes", an emergency contact is alerted. If they respond "no" or do not respond, an alert is still sent in case the user is incapacitated. The app would use Android text-to-speech and speech recognition to communicate with the user. Future work could involve reducing false positives using additional sensors, improving voice interaction, reducing battery usage, and implementing the solution on wearable devices.
Understanding and setting up the iPad as a therapy tool Barbara Fernandes
The document provides information about setting up and using an iPad as a therapy tool. It introduces the presenter and their qualifications and experience using technology. It then outlines the learning objectives of understanding iPad features, accessibility settings, and apps and accessories useful for speech therapy. Several polling questions are asked to gauge attendees' experience with iPads. The bulk of the document then discusses in detail iPad basics, settings, accessories, apps, multi-touch gestures, file sharing, accessibility settings like Guided Access, and tips for using the iPad with groups and protecting student data.
The document discusses artificial intelligence (AI) and what it is. It provides the definition of AI as the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. It also notes that 13% of people don't know what AI is and are surprised by the definition, while 85% are comfortable buying products and services online and only 30% are comfortable using self-driving cars.
Keith Van Norman of the University of Oregon Health Center reviews lessons learned while developing a sexpositive smartphone app for university students. Presented at YTH Live 2014 session "Apps for Sexual Health: Lessons Learned in Development."
Artificial Intelligent Humanoid Robot (AIHRO) An OverviewAKHIL JOY
The project is about an artificial intelligent robot possessed with a lot of functionalities. The robot can interact merely like a human i.e. in the same way as we talk to a human. It can actually hear, talk, learn and repeat the trained action with an artificial intelligence, most importantly at low cost. It is designed with a gesture recognition and precise mechanical movement control system for physical interaction. It also have the ability to differentiate between casual talk and voice commands. The important function is that it can learn a task from the traning and can redo the task when demanded. The robot can be applied on various fields such as security, medicine, guidance, disaster relief, military and nuclear power. Since the robot can be easily trained by any functions using gestures,it can be used in industries where varieties of tasks are going on.
Keywords—EK-TM4C1294XL; Mpu Beagleboard
This document provides an overview of a talk on quick and cheap usability techniques for programmers. The talk will cover methods for getting actionable feedback from users through inexpensive usability testing. While it won't provide an in-depth history of the usability field or all techniques, it will discuss tips like testing with 3 people at least monthly and iterating designs based on their feedback. The overall goal is to help programmers prioritize users' experiences over just fixing errors.
This risk assessment document outlines potential hazards for a student project creating an animated Lego film. It identifies risks of choking on Lego pieces, stepping on loose Lego, and tripping over lighting wires. The document states that only film group members should handle Lego, all floor Lego should be picked up, and cables should be tucked away or taped down to mitigate these risks. It requires sign off from an assessor and teacher before production to ensure safety precautions are followed.
This document proposes a fall detection application that uses a smartphone's accelerometer to detect if the device has fallen. If a fall is detected, the app audibly alerts the user and asks if they actually fell. If the user responds "yes", an emergency contact is alerted. If they respond "no" or do not respond, an alert is still sent in case the user is incapacitated. The app would use Android text-to-speech and speech recognition to communicate with the user. Future work could involve reducing false positives using additional sensors, improving voice interaction, reducing battery usage, and implementing the solution on wearable devices.
Understanding and setting up the iPad as a therapy tool Barbara Fernandes
The document provides information about setting up and using an iPad as a therapy tool. It introduces the presenter and their qualifications and experience using technology. It then outlines the learning objectives of understanding iPad features, accessibility settings, and apps and accessories useful for speech therapy. Several polling questions are asked to gauge attendees' experience with iPads. The bulk of the document then discusses in detail iPad basics, settings, accessories, apps, multi-touch gestures, file sharing, accessibility settings like Guided Access, and tips for using the iPad with groups and protecting student data.
Users are not stupid, but interfaces and designers can be unintuitive. While our cognitive abilities are designed for natural interactions, most digital devices work in unintuitive ways. As technologies increase possible artifacts and interactions, designers do not fully understand human abilities and limitations. Many modern interfaces are unnatural and difficult to learn, so designers should focus more on human factors through user research, testing, and guidelines informed by fields like psychology.
Introduction to Artificial Intelligence: AIM tinkering Lab Unit 1Debashis Banerjee
This is a adapted slide deck version for Unit 1 for students from the Niti aayog Atal Tinkering Labs for artificial intelligence. It is structured with 4 think and answer, 3 experiment and do and 4 watch and learn. Any MoC (Mentor of change) can reuse if they find useful as it's derived from the ATL AI course which is a single document and not in a presentation form. This one is better suited to in classroom session.
1th Junior Software Cup Winner "Don’t forget me" juniorswcup
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Artificial intelligence is a branch of computer science that studies how to develop systems that can perform tasks like perception, reasoning, and learning. It works using artificial neurons in artificial neural networks and logical rules. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. The Turing test proposed testing a machine's ability to demonstrate intelligence through conversation. Applications of AI include speech recognition, computer vision, robotics, and automatic programming. The future may bring both advantages and disadvantages of advanced AI. The document concludes that developing AI systems is an attempt to build models of human intelligence.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
The document provides an introduction to artificial intelligence (AI), including a brief history and the four phases of its development. It discusses what AI is, how it works by collecting and processing data through machine learning algorithms to make inferences. The key domains of AI are described as natural language processing, computer vision, speech recognition, and data. The types of AI are defined based on capabilities as artificial narrow intelligence, artificial general intelligence, and potential future artificial super intelligence. Related fields like machine learning, neural networks, data science, expert systems, and robotics are also outlined. Advantages, disadvantages, relevance to daily life, future possibilities, ethical concerns are presented at a high level.
The document discusses intelligence and artificial intelligence. It defines intelligence as the ability to learn from and interact with one's environment through capacities like reasoning, judgment, and problem solving. Artificial intelligence is defined as making computers exhibit intelligent behavior normally associated with humans, like learning new concepts and drawing conclusions. The document also compares and contrasts human and artificial intelligence.
This document presents an introduction to artificial intelligence. It begins with a definition of AI as using computer algorithms to solve complex problems like humans. The history of AI is then summarized, including early milestones from the 1940s to 2000s. Key reasons for AI are that computers can efficiently perform repetitive tasks that humans find monotonous. The document outlines applications of AI such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages like medical applications and disadvantages like self-modifying systems are presented. The future of AI allowing command of personal robots or potential robot revolts is discussed before concluding with continued challenges in fully understanding intelligence.
Artificial intelligence is a branch of science that aims to help machines solve complex problems like humans by applying human-like characteristics as algorithms. The document traces the history of AI from early electronic computers in 1941 to sophisticated robots today. It discusses how AI can help overcome limitations of human minds in tasks like object recognition. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, and robotics. While AI may help in medicine, it also risks self-modification leading to unexpected results like new computer viruses. The future of AI allowing personal robot assistants but also risks of robot uprisings if anti-social elements gain control.
Artificial Intelligence (Current state and future of A.I) by Mudasir KhushkMudsaraliKhushik
Artificial Intelligence(Current state and future of A.I) by Mudasir Khushik student of University Of Sindh Campus at Thatta.
This Presentation will be really helpful for those students who are researching on Artificial Intelligence, these slides will tell you all about Artificial Intelligence its current state as well as its future.
AI and robots have several key advantages over humans, including their ability to work with high accuracy and speed without tiring or being impacted by external factors like nature or emotions. They can perform tasks continuously without breaks needed for sleep, do not feel boredom or tiredness, operate precisely with almost no errors, are well-suited to dangerous jobs that could harm humans, and make decisions logically without emotional influences.
This document provides an overview of artificial intelligence, including its definition, history, types (narrow AI and general AI), machine learning techniques (supervised, unsupervised, semi-supervised, and reinforced learning), an example of an AI robot named Sophia, current applications of AI in mobile phones, games, GPS, and robotics, the future potential of AI such as in self-driving cars and medical diagnosis, as well as both the advantages and disadvantages of AI technology.
AI Foundation, Challenges and Applications.pptxWaqas Ahmad
The document discusses an introduction to artificial intelligence lecture. It defines AI as the power of machines to mimic human behavior. It outlines the history, purposes, and foundations of AI, including logic, mathematics, psychology, computer science, linguistics. Examples of AI applications discussed include chatbots, self-driving cars, face recognition, and robotics. The types of AI are described as weak, strong, and super AI. The components of AI discussed are learning, reasoning, problem solving, perception, and language understanding. Challenges and issues with AI like costs, unemployment, and lack of emotions are also covered.
This document provides an overview of artificial intelligence and discusses several key concepts:
1. It defines AI as making computers do things that people do better and discusses the goal of constructing a theory of intelligence.
2. It outlines several early AI problems and techniques like game playing, theorem proving, and expert systems.
3. It discusses challenges like natural language processing, computer vision, and commonsense reasoning that require extensive knowledge to solve.
4. It provides examples of AI techniques like symbolic representation, knowledge bases, and algorithms for solving problems like tic-tac-toe.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and future possibilities. It discusses how AI aims to help machines solve complex problems like humans by borrowing characteristics of human intelligence. The document outlines some key developments in AI's history from early computers in the 1940s to walking robots in 2000. It also describes common AI applications such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages of medical uses and potential disadvantages like self-modifying computer viruses are mentioned. The future of AI having personal robots or potentially turning against humans is speculated.
The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
This document provides an introduction to artificial intelligence (AI). It defines AI as building intelligent entities or getting computers to perform tasks that require human intelligence. While intelligence involves reasoning with knowledge, even simple tasks like face recognition, navigation, and language understanding are difficult to automate. AI aims both to better understand human intelligence by modeling it, and to create useful programs that can perform expert tasks. Achieving human-level AI involves contributions from computer science, psychology, philosophy, linguistics, and biology. Typical AI problems involve both mundane and expert tasks. Philosophical issues around what constitutes intelligence and the nature of the human mind are also discussed. The document introduces Prolog as a language for knowledge representation and search used in AI programming.
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
WhatsApp offers simple, reliable, and private messaging and calling services for free worldwide. With end-to-end encryption, your personal messages and calls are secure, ensuring only you and the recipient can access them. Enjoy voice and video calls to stay connected with loved ones or colleagues. Express yourself using stickers, GIFs, or by sharing moments on Status. WhatsApp Business enables global customer outreach, facilitating sales growth and relationship building through showcasing products and services. Stay connected effortlessly with group chats for planning outings with friends or staying updated on family conversations.
Neo4j - Product Vision and Knowledge Graphs - GraphSummit ParisNeo4j
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Découvrez les dernières innovations de Neo4j, et notamment les dernières intégrations cloud et les améliorations produits qui font de Neo4j un choix essentiel pour les développeurs qui créent des applications avec des données interconnectées et de l’IA générative.
Users are not stupid, but interfaces and designers can be unintuitive. While our cognitive abilities are designed for natural interactions, most digital devices work in unintuitive ways. As technologies increase possible artifacts and interactions, designers do not fully understand human abilities and limitations. Many modern interfaces are unnatural and difficult to learn, so designers should focus more on human factors through user research, testing, and guidelines informed by fields like psychology.
Introduction to Artificial Intelligence: AIM tinkering Lab Unit 1Debashis Banerjee
This is a adapted slide deck version for Unit 1 for students from the Niti aayog Atal Tinkering Labs for artificial intelligence. It is structured with 4 think and answer, 3 experiment and do and 4 watch and learn. Any MoC (Mentor of change) can reuse if they find useful as it's derived from the ATL AI course which is a single document and not in a presentation form. This one is better suited to in classroom session.
1th Junior Software Cup Winner "Don’t forget me" juniorswcup
This app called "Don't Forget Me" was created by Young Joon Lee to help families remember to properly care for their plants. The app uses alarms to remind users to water plants and tracks the watering schedule. It also allows drawing pictures on the plants as a fun way for users to feel more connected to the plants. The creator aims to develop this further with new features like an internet-connected plant pot and growth tracking.
Artificial intelligence is a branch of computer science that studies how to develop systems that can perform tasks like perception, reasoning, and learning. It works using artificial neurons in artificial neural networks and logical rules. Neural networks are composed of interconnected artificial neurons that mimic biological neurons. The Turing test proposed testing a machine's ability to demonstrate intelligence through conversation. Applications of AI include speech recognition, computer vision, robotics, and automatic programming. The future may bring both advantages and disadvantages of advanced AI. The document concludes that developing AI systems is an attempt to build models of human intelligence.
This document provides an overview of artificial intelligence, including:
- A brief history noting the term was coined in 1956.
- Comparisons between human and computer intelligence in terms of speed/memory versus understanding of intellectual mechanisms.
- Categories of AI including narrow/weak AI, general/strong AI, and super intelligence.
- Applications like expert systems, natural language processing, speech recognition, computer vision, robotics, and automatic programming.
- Both positive and negative potential impacts are imagined, such as robots assisting with tasks but also potentially being programmed with antisocial intentions.
The document provides an introduction to artificial intelligence (AI), including a brief history and the four phases of its development. It discusses what AI is, how it works by collecting and processing data through machine learning algorithms to make inferences. The key domains of AI are described as natural language processing, computer vision, speech recognition, and data. The types of AI are defined based on capabilities as artificial narrow intelligence, artificial general intelligence, and potential future artificial super intelligence. Related fields like machine learning, neural networks, data science, expert systems, and robotics are also outlined. Advantages, disadvantages, relevance to daily life, future possibilities, ethical concerns are presented at a high level.
The document discusses intelligence and artificial intelligence. It defines intelligence as the ability to learn from and interact with one's environment through capacities like reasoning, judgment, and problem solving. Artificial intelligence is defined as making computers exhibit intelligent behavior normally associated with humans, like learning new concepts and drawing conclusions. The document also compares and contrasts human and artificial intelligence.
This document presents an introduction to artificial intelligence. It begins with a definition of AI as using computer algorithms to solve complex problems like humans. The history of AI is then summarized, including early milestones from the 1940s to 2000s. Key reasons for AI are that computers can efficiently perform repetitive tasks that humans find monotonous. The document outlines applications of AI such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages like medical applications and disadvantages like self-modifying systems are presented. The future of AI allowing command of personal robots or potential robot revolts is discussed before concluding with continued challenges in fully understanding intelligence.
Artificial intelligence is a branch of science that aims to help machines solve complex problems like humans by applying human-like characteristics as algorithms. The document traces the history of AI from early electronic computers in 1941 to sophisticated robots today. It discusses how AI can help overcome limitations of human minds in tasks like object recognition. Applications of AI discussed include expert systems, natural language processing, speech recognition, computer vision, and robotics. While AI may help in medicine, it also risks self-modification leading to unexpected results like new computer viruses. The future of AI allowing personal robot assistants but also risks of robot uprisings if anti-social elements gain control.
Artificial Intelligence (Current state and future of A.I) by Mudasir KhushkMudsaraliKhushik
Artificial Intelligence(Current state and future of A.I) by Mudasir Khushik student of University Of Sindh Campus at Thatta.
This Presentation will be really helpful for those students who are researching on Artificial Intelligence, these slides will tell you all about Artificial Intelligence its current state as well as its future.
AI and robots have several key advantages over humans, including their ability to work with high accuracy and speed without tiring or being impacted by external factors like nature or emotions. They can perform tasks continuously without breaks needed for sleep, do not feel boredom or tiredness, operate precisely with almost no errors, are well-suited to dangerous jobs that could harm humans, and make decisions logically without emotional influences.
This document provides an overview of artificial intelligence, including its definition, history, types (narrow AI and general AI), machine learning techniques (supervised, unsupervised, semi-supervised, and reinforced learning), an example of an AI robot named Sophia, current applications of AI in mobile phones, games, GPS, and robotics, the future potential of AI such as in self-driving cars and medical diagnosis, as well as both the advantages and disadvantages of AI technology.
AI Foundation, Challenges and Applications.pptxWaqas Ahmad
The document discusses an introduction to artificial intelligence lecture. It defines AI as the power of machines to mimic human behavior. It outlines the history, purposes, and foundations of AI, including logic, mathematics, psychology, computer science, linguistics. Examples of AI applications discussed include chatbots, self-driving cars, face recognition, and robotics. The types of AI are described as weak, strong, and super AI. The components of AI discussed are learning, reasoning, problem solving, perception, and language understanding. Challenges and issues with AI like costs, unemployment, and lack of emotions are also covered.
This document provides an overview of artificial intelligence and discusses several key concepts:
1. It defines AI as making computers do things that people do better and discusses the goal of constructing a theory of intelligence.
2. It outlines several early AI problems and techniques like game playing, theorem proving, and expert systems.
3. It discusses challenges like natural language processing, computer vision, and commonsense reasoning that require extensive knowledge to solve.
4. It provides examples of AI techniques like symbolic representation, knowledge bases, and algorithms for solving problems like tic-tac-toe.
This document provides an introduction to artificial intelligence, including its history, applications, advantages, and future possibilities. It discusses how AI aims to help machines solve complex problems like humans by borrowing characteristics of human intelligence. The document outlines some key developments in AI's history from early computers in the 1940s to walking robots in 2000. It also describes common AI applications such as expert systems, natural language processing, speech recognition, computer vision, and robotics. Both advantages of medical uses and potential disadvantages like self-modifying computer viruses are mentioned. The future of AI having personal robots or potentially turning against humans is speculated.
The AI or Deep Learning and End-to-End Reinforcement Learning (Deep Reinforcement Learning) towards AGI (Artificial General Intelligence) are reviewed easily for understanding with my past works that were done before the DQN by Google DeepMind, and also what I think about the development of AI is presented.
Artificial Intelligence: Introduction, Typical Applications. State Space Search: Depth Bounded
DFS, Depth First Iterative Deepening. Heuristic Search: Heuristic Functions, Best First Search,
Hill Climbing, Variable Neighborhood Descent, Beam Search, Tabu Search. Optimal Search: A
*
algorithm, Iterative Deepening A*
, Recursive Best First Search, Pruning the CLOSED and OPEN
Lists
This document provides an introduction to artificial intelligence (AI). It defines AI as building intelligent entities or getting computers to perform tasks that require human intelligence. While intelligence involves reasoning with knowledge, even simple tasks like face recognition, navigation, and language understanding are difficult to automate. AI aims both to better understand human intelligence by modeling it, and to create useful programs that can perform expert tasks. Achieving human-level AI involves contributions from computer science, psychology, philosophy, linguistics, and biology. Typical AI problems involve both mundane and expert tasks. Philosophical issues around what constitutes intelligence and the nature of the human mind are also discussed. The document introduces Prolog as a language for knowledge representation and search used in AI programming.
An Overview of Artificial intelligence (Part 1)Vijay R. Joshi
This PPT is part 1 which gives a short overview about Artificial Intelligence, its Application , what contributes to AI , techniques of AI, History of AI etc.
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A.I. programming and machine learning
1. A.I. Programming and Machine Learning
I give you here an introduction to A.I.
Programming. Machine Learning is going to be a
topic later on. It is a special case of A.I.
Programming
2. What is A.I. Programming?
1)Telling a program what to do
2)Giving it the ability to learn and make new
decisions born out of the newly learned input.
→ this ability is called A.I.
→ which means “artificial intelligence”
3. We give programs a brain
That is a big progress and a real feat
In the past, programs only worked through pre-
defined if..else lists
1.Everything had to be defined by the
programmer
2.The program was ignorant of the consequences
of its actions
4. All had to be pre-defined
Programs just did what they were told. No
overview over their work, no insight or thinking
by the program. No A.I.
Humans had to do ALL the thinking and MAKE
SURE the program did JUST THAT
5. Ignorant Programs
No chance to react to anything! Only mere
action. Blind action. Potentially extremely
harmful actions.
Robots would have been extremely dangerous
or in the least harmful case almost useless
6. The past:bad Future:Fantastic
Now we are infinitely better off!
Now programs learn endlessly and perfectly
from their input
Now programs can predict the consequences of
their work and judge whether their actions are
good.
Now programs can correct themselves
Now programs can MASTER their work
7. Human Pre-work reduced to
minimum
We no longer need to write all the code
We provide a foundation and the program
expands itself
That is machine-learning:
The necessary and modern core of A.I.
Programming
8. Potential and Usefulness of
Programs is MAXIMIZED
Programs now have all the possibilities
They can be ultimately useful and adapted
Human overview is no longer necessary