Oz’s Tik-Tok to the Mechanical Turk, from Neural Nets & Genetic Algorithms to Chess & StarCraft, from fighting the Coronavirus to flying Killer Drones, from Facial Recognition to Fakes, Deep Fakes, & Anti-Fakes, Artificial Intelligence (AI) is everywhere today. How did it start? What do we mean by AI? What are the basic AI techniques? How is it being used? What are the benefits? risks? and how should we manage AI going forwards?
Artificial intelligence is used in many aspects of daily life such as games, smart cars, and robots. In games, AI is used to generate responsive behaviors in non-player characters. Deep Blue was an IBM computer that defeated the world chess champion in 1997. Now AlphaZero uses machine learning to master games like chess and Go without human knowledge. Smart cars use AI and sensors like LIDAR and cameras and GPS for autonomous driving capabilities, which can reduce accidents but also enable hacking risks. Robots apply AI in various fields such as the military, agriculture, medicine, households and more.
Robotics is the branch of science dealing with the design, construction, operation, and application of robots. Robots can take the place of humans in dangerous environments and resemble humans in appearance, behavior, and cognition. The word "robot" was introduced by Czech writer Karel Capek in 1920 and the term "robotics" was coined by Isaac Asimov in the 1940s. Asimov also proposed his three laws of robotics which govern a robot's behavior regarding humans. Robots are used for tasks that are dangerous, repetitive, impossible for humans, or require high precision. They have a variety of applications including space exploration, medical care, manufacturing, and assistance for disabled persons.
The document traces the history and development of robots from early fictional depictions in the 1920s to modern advances. It discusses some of the first intelligent robots like Shakey in the 1960s, the first industrial robot Unimate in the 1950s-60s, and Honda's humanoid robot ASIMO in the 1980s-2000s. The key technologies driving more advanced modern robots are described as sensors, actuators, and artificial intelligence. The future of robots is discussed in terms of increasing autonomy through reinforcement learning and the challenges of human-robot interaction. Students are assigned short discussion topics on Shakey and developments in human-robot interaction.
Sperimentazioni di tecnologie e comunicazioni Multimediali: Lezione 2Salvatore Iaconesi
This document provides a history of video game and technology companies from the late 1800s to present day. Some of the key events summarized are:
- In the late 1800s and early 1900s, several companies are formed that will later become leaders in consumer electronics and video games, such as Nintendo, Sony, and SEGA.
- In the 1970s, the first arcade video games are created by Nutting Associates and Atari. The Magnavox Odyssey console is also released.
- The 1980s see the rise of the Atari VCS/2600 and introduction of popular games like Space Invaders. Nintendo enters the market with the NES in 1985.
- The 1990s
Types Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
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Castbox: https://castbox.fm/networks/505?country=in
In this second session of the Elements of AI Luxembourg series of webinars, we have the pleasure to have Dr. Sana Nouzri as a guest speaker. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
Artificial intelligence is used in many aspects of daily life such as games, smart cars, and robots. In games, AI is used to generate responsive behaviors in non-player characters. Deep Blue was an IBM computer that defeated the world chess champion in 1997. Now AlphaZero uses machine learning to master games like chess and Go without human knowledge. Smart cars use AI and sensors like LIDAR and cameras and GPS for autonomous driving capabilities, which can reduce accidents but also enable hacking risks. Robots apply AI in various fields such as the military, agriculture, medicine, households and more.
Robotics is the branch of science dealing with the design, construction, operation, and application of robots. Robots can take the place of humans in dangerous environments and resemble humans in appearance, behavior, and cognition. The word "robot" was introduced by Czech writer Karel Capek in 1920 and the term "robotics" was coined by Isaac Asimov in the 1940s. Asimov also proposed his three laws of robotics which govern a robot's behavior regarding humans. Robots are used for tasks that are dangerous, repetitive, impossible for humans, or require high precision. They have a variety of applications including space exploration, medical care, manufacturing, and assistance for disabled persons.
The document traces the history and development of robots from early fictional depictions in the 1920s to modern advances. It discusses some of the first intelligent robots like Shakey in the 1960s, the first industrial robot Unimate in the 1950s-60s, and Honda's humanoid robot ASIMO in the 1980s-2000s. The key technologies driving more advanced modern robots are described as sensors, actuators, and artificial intelligence. The future of robots is discussed in terms of increasing autonomy through reinforcement learning and the challenges of human-robot interaction. Students are assigned short discussion topics on Shakey and developments in human-robot interaction.
Sperimentazioni di tecnologie e comunicazioni Multimediali: Lezione 2Salvatore Iaconesi
This document provides a history of video game and technology companies from the late 1800s to present day. Some of the key events summarized are:
- In the late 1800s and early 1900s, several companies are formed that will later become leaders in consumer electronics and video games, such as Nintendo, Sony, and SEGA.
- In the 1970s, the first arcade video games are created by Nutting Associates and Atari. The Magnavox Odyssey console is also released.
- The 1980s see the rise of the Atari VCS/2600 and introduction of popular games like Space Invaders. Nintendo enters the market with the NES in 1985.
- The 1990s
Types Of Artificial Intelligence | EdurekaEdureka!
YouTube Link: https://youtu.be/y5swZ2Q_lBw
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This Edureka PPT on "Types Of Artificial Intelligence" will help you understand the different stages and types of Artificial Intelligence in depth. The following topics are covered in this Artificial Intelligence Tutorial:
History Of AI
What Is AI?
Stages Of Artificial Intelligence
Types Of Artificial Intelligence
Domains Of Artificial Intelligence
Follow us to never miss an update in the future.
YouTube: https://www.youtube.com/user/edurekaIN
Instagram: https://www.instagram.com/edureka_learning/
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
Castbox: https://castbox.fm/networks/505?country=in
In this second session of the Elements of AI Luxembourg series of webinars, we have the pleasure to have Dr. Sana Nouzri as a guest speaker. More information, and a recording of the session, can be found on our reddit page:
eofai.lu/reddit
DWX 2018 Session about Artificial Intelligence, Machine and Deep LearningMykola Dobrochynskyy
Artificial intelligence, machine learning, and deep learning provide benefits but also risks that should be addressed ethically and responsibly. AI has progressed due to exponential data growth, large unstructured datasets, improved hardware, and falling error rates. Deep learning in particular has advanced areas like computer vision, speech recognition and games. While concerns exist around a potential artificial general intelligence, AI also enables applications in healthcare, transportation, science and more. Individuals and companies are encouraged to start experimenting with and adopting machine learning.
The document provides an introduction to the game Arimaa, summarizing what the game is, its history and development, the ongoing challenge for AI to defeat top human players, why the game is difficult for computers to master, the current status of the challenge, and how individuals can participate in playing or developing for the game.
This document provides an overview of artificial intelligence (AI) including its history, subsets, scope, applications, and recent advances. It discusses early concepts of AI from ancient Greece. Key events in AI history include Alan Turing's 1950 paper speculating about machine intelligence and the creation of machine learning and deep learning subsets. The document outlines current applications of AI in various fields like education, healthcare, finance, and industry. Recent AI advances presented include predictive systems, robot journalists, self-flying helicopters, art-creating systems, and question answering computers. Potential threats from AI developing unintended behaviors or being programmed for destructive goals are also examined.
Will the machines save us or kill us all? – that is the question. While many are thrilled with the latest AI
breakthroughs and dream of a shinning AI-powered world, others, like Bill Gates, Elon Musk, Steve Wozniak and the late
and legendary Stephen Hawking, expressed concerns about the evolution of the machines and warned about an
apocalyptic future.
http://www.altitude.com/
Intelligence is not Artificial - Stanford, June 2016piero scaruffi
The document discusses artificial intelligence and argues that the field is progressing more slowly than predicted. It makes four main points:
1) Recent AI accomplishments like image recognition and AlphaGo are narrow and rely on large datasets and computational power rather than true intelligence.
2) Progress in AI has not accelerated as much as claimed and past eras saw similar revolutionary changes in technology.
3) Claims of soon achieving superhuman AI are dubious as many animals already demonstrate abilities beyond humans.
4) Machines have long been able to perform tasks humans cannot, but near future AI will focus more on applications like consumer products, healthcare, and jobs rather than general human-level intelligence.
This document provides an overview of the history and current state of artificial intelligence. It discusses key events like the Dartmouth workshop in 1956 which is seen as the official birth of AI. The document also explores different applications of AI like in movies, news, and real world tasks. It discusses challenges for the future like ensuring AI is beneficial to humanity and aligned with human values and preferences.
Science Fiction - An inspiration source for designAmit Pande
This document discusses how science fiction can inspire design. It provides examples of technologies from sci-fi movies and books that have become reality, such as gesture controls and downloading knowledge directly to the brain. It recommends the book Postsingular for its themes around computational piezoplastic, Orphids, and the Metanovel. Science fiction is praised for projecting radical solutions by looking beyond today's constraints.
Impact of Artificial Intelligence in the emerging technology, The role of Nig...Tolulope Ogundiji
Presentation as a key note speaker at the Samuel Ajayi Crowther University, department of computer science week. Speaking on the impact of Artificial Intelligence in the emerging technology- the role of Nigerian youths
The document provides an overview of the history of artificial intelligence from its origins in the 1940s through modern applications. It discusses early pioneers like Alan Turing and his Turing test, as well as important early programs like the Logic Theorist. It then outlines the growth of the field through research centers in the 1950s and 1960s, the development of languages like LISP, and applications of AI in gaming. The summary concludes with a brief discussion of modern uses of AI in areas like robotics, the military, self-driving cars, and video games.
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
By now we all know the image: bipedal mechanoids designed in our own likeness, used to aid the human race in all walks of life. Through stories, films, practical applications and our own imagination, robots are synonymous with the human psyche.
1) Isaac Asimov coined the term "robotics" and helped inspire the field through his science fiction writings, envisioning possibilities for robotics and AI.
2) Advances in robotics and AI are allowing for more human-like robots that can assist with tasks too dangerous for humans, like deep sea exploration, as well as interact with humans through advances in areas like tactile sensors and artificial skin.
3) AI is demonstrating superhuman capabilities through techniques like deep learning, where machines can learn from vast amounts of data on their own, exceeding human abilities in narrow domains like game-playing or image recognition.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence. The history of AI began in antiquity with myths of artificial beings, and the modern field was founded in 1956. AI now has many applications, including virtual assistants, smart cars, fraud detection, and smart home devices. Robotics is an important application of AI, with robots now able to perform tasks like fly planes autonomously. Space organizations are also using AI for applications like India's regional satellite navigation system called NAVIC. The future of AI includes robotic moon bases and more advanced robots.
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
Ai and robotics: Past, Present and FutureHongmei He
Abstract: Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
Robotics and AI have developed as inseparable twins. This presentation will briefly trace the history of the relationship between the two, survey various types of robots, and identify the contribution of AI to robot intelligence. In particular, we will consider the robot system architecture and how AI techniques are associated with its various capacities and functions.
Technology is replacing people in many jobs, but also creating new and better work and conditions in some cases. Scientists have estimated that machines could take 50% of our jobs in the next 30 years. Who will own the machines? Join me to explore the future challenges and issues of AI and robotics.
This document provides an introduction to an artificial intelligence course. It discusses what topics will be covered, including search techniques, knowledge representation, logic, machine learning, and applications such as game playing, computer vision, and robotics. It also provides definitions of key concepts like intelligence, artificial intelligence, and rational agents. The course will involve lectures, exercises, homework, and an examination project involving a poker tournament.
How can Artificial Intelligence help me on the Battlefield?jcscholtes
April 26, 2019, I was asked to present how Artificial Intelligence can help the Battlefield at the officers of the 11th Airmobile Brigade (11e Luchtmobiele brigade in Dutch) of the Dutch forces . The potential benefit of Artificial Intelligence on the battlefield is a very interesting, but also intriguing topic! Here you can find my slides. I also have written a blog on this topic which contains several additional references and can be found as a LinkedIn Article and as blog on www.textmining.nu.
Artificial Intelligence: Should You Be Worried?Harry Blanchard
An introduction to the what artificial intelligence is and a cultural history of the fear of creation of intelligence. A realistic assessment is made of the so-called singularity and what we really should be worried about: artificial "semi-intelligence." Talk given to the Northern Monmouth County Branch of the AAUW.
GD - 2nd - Introduction To Game (History And Genres)Hadziq Fabroyir
The document provides an overview of the history and evolution of games from prehistory through modern times. It discusses early games like hopscotch and Rubik's cube, then covers the development of video games from Spacewar in 1962 to modern consoles like the Nintendo Switch. It also examines the rise of genres like first-person shooters, role-playing games, and massively multiplayer online games. Finally, it categorizes common game genres such as action, adventure, fighting, and puzzle games.
The Quantum Internet: Hype or the Next StepJohn Ashmead
What do we mean by the quantum internet? Why do we need more than just quantum computing? What are quantum cryptography, quantum key distribution, quantum sensors? How are these concepts entangled? What are the advantages of the quantum internet? key problems? Who will get to use it? And do we have just a bunch of interesting technologies that all have quantum in their name or can the whole be more than the sum of its parts?
How to build a PostgreSQL-backed website quicklyJohn Ashmead
We will show how to get started building a PostgreSQL-backed website using Ruby-on-Rails. We will look at Model-View-Controller architecture; what tools you need to get started; how to work with the online tutorials; what kind of workflow to use; and which tasks to let Ruby-on-Rails handle versus which are better done by PostgreSQL.
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DWX 2018 Session about Artificial Intelligence, Machine and Deep LearningMykola Dobrochynskyy
Artificial intelligence, machine learning, and deep learning provide benefits but also risks that should be addressed ethically and responsibly. AI has progressed due to exponential data growth, large unstructured datasets, improved hardware, and falling error rates. Deep learning in particular has advanced areas like computer vision, speech recognition and games. While concerns exist around a potential artificial general intelligence, AI also enables applications in healthcare, transportation, science and more. Individuals and companies are encouraged to start experimenting with and adopting machine learning.
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This document provides an overview of artificial intelligence (AI) including its history, subsets, scope, applications, and recent advances. It discusses early concepts of AI from ancient Greece. Key events in AI history include Alan Turing's 1950 paper speculating about machine intelligence and the creation of machine learning and deep learning subsets. The document outlines current applications of AI in various fields like education, healthcare, finance, and industry. Recent AI advances presented include predictive systems, robot journalists, self-flying helicopters, art-creating systems, and question answering computers. Potential threats from AI developing unintended behaviors or being programmed for destructive goals are also examined.
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http://www.altitude.com/
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The document discusses artificial intelligence and argues that the field is progressing more slowly than predicted. It makes four main points:
1) Recent AI accomplishments like image recognition and AlphaGo are narrow and rely on large datasets and computational power rather than true intelligence.
2) Progress in AI has not accelerated as much as claimed and past eras saw similar revolutionary changes in technology.
3) Claims of soon achieving superhuman AI are dubious as many animals already demonstrate abilities beyond humans.
4) Machines have long been able to perform tasks humans cannot, but near future AI will focus more on applications like consumer products, healthcare, and jobs rather than general human-level intelligence.
This document provides an overview of the history and current state of artificial intelligence. It discusses key events like the Dartmouth workshop in 1956 which is seen as the official birth of AI. The document also explores different applications of AI like in movies, news, and real world tasks. It discusses challenges for the future like ensuring AI is beneficial to humanity and aligned with human values and preferences.
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This document discusses how science fiction can inspire design. It provides examples of technologies from sci-fi movies and books that have become reality, such as gesture controls and downloading knowledge directly to the brain. It recommends the book Postsingular for its themes around computational piezoplastic, Orphids, and the Metanovel. Science fiction is praised for projecting radical solutions by looking beyond today's constraints.
Impact of Artificial Intelligence in the emerging technology, The role of Nig...Tolulope Ogundiji
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The document provides an overview of the history of artificial intelligence from its origins in the 1940s through modern applications. It discusses early pioneers like Alan Turing and his Turing test, as well as important early programs like the Logic Theorist. It then outlines the growth of the field through research centers in the 1950s and 1960s, the development of languages like LISP, and applications of AI in gaming. The summary concludes with a brief discussion of modern uses of AI in areas like robotics, the military, self-driving cars, and video games.
Based on Capabilities
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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
By now we all know the image: bipedal mechanoids designed in our own likeness, used to aid the human race in all walks of life. Through stories, films, practical applications and our own imagination, robots are synonymous with the human psyche.
1) Isaac Asimov coined the term "robotics" and helped inspire the field through his science fiction writings, envisioning possibilities for robotics and AI.
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3) AI is demonstrating superhuman capabilities through techniques like deep learning, where machines can learn from vast amounts of data on their own, exceeding human abilities in narrow domains like game-playing or image recognition.
Artificial intelligence (AI) is the theory and development of computer systems able to perform tasks normally requiring human intelligence. The history of AI began in antiquity with myths of artificial beings, and the modern field was founded in 1956. AI now has many applications, including virtual assistants, smart cars, fraud detection, and smart home devices. Robotics is an important application of AI, with robots now able to perform tasks like fly planes autonomously. Space organizations are also using AI for applications like India's regional satellite navigation system called NAVIC. The future of AI includes robotic moon bases and more advanced robots.
Artificial Intelligence (AI) has been a topic of research since the term was first coined by John McCarthy in 1956. In the last six decades, development of AI has experienced an uneven ride. Recently, the successful application of deep learning in Google AlphaGo triggered a wave of revolutionary advances in AI.
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April 26, 2019, I was asked to present how Artificial Intelligence can help the Battlefield at the officers of the 11th Airmobile Brigade (11e Luchtmobiele brigade in Dutch) of the Dutch forces . The potential benefit of Artificial Intelligence on the battlefield is a very interesting, but also intriguing topic! Here you can find my slides. I also have written a blog on this topic which contains several additional references and can be found as a LinkedIn Article and as blog on www.textmining.nu.
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An introduction to the what artificial intelligence is and a cultural history of the fear of creation of intelligence. A realistic assessment is made of the so-called singularity and what we really should be worried about: artificial "semi-intelligence." Talk given to the Northern Monmouth County Branch of the AAUW.
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The document provides an overview of the history and evolution of games from prehistory through modern times. It discusses early games like hopscotch and Rubik's cube, then covers the development of video games from Spacewar in 1962 to modern consoles like the Nintendo Switch. It also examines the rise of genres like first-person shooters, role-playing games, and massively multiplayer online games. Finally, it categorizes common game genres such as action, adventure, fighting, and puzzle games.
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Call them Stargates, Jumpgates, Fargates, Hypertubes or just an invitation to every unwanted pest from the far reaches of the Galaxy to visit, they are absolutely necessary if we are to have the glorious Science Fiction action we desperately need. But could they actually be built? We look at what modern physics has to say: how to glue black holes together to build a wormhole, how to avoid the dangers of spaghettification, radiation poisoning, and paradox noise, and just what it would take to build one in practice.
The document discusses three stories that involve time travel: The Anubis Gates, about a steampunk time machine; 3 Days to Never, about a bicycle-based time machine and a girl transported through time; and Burning Gates of Anubis, a sequel to The Anubis Gates. It provides summaries of the time travel plots and devices in each story.
We look at the history of the multiverse, the big bang theory, the problem of fine-tuning, how it is solved by the anthropic principle, how the combination of eternal inflation & string theory might create many universes, and a bit of discussion as to the odds of the multiverse being true.
We review the double slit experiment, the "central mystery" of quantum mechanics as Feynman put it. We included a number of animations, including some from Larry Latham specially done for this presentation! Unfortunately the animations don't seem to post correctly to slideshare, alas.
How to convert from MySQL to PostgreSQL: discuss history of each, current status, when you might wish to convert, what might motivate you to convert, & how to do so. With references.
The document describes 7 stories from the author's career as a programmer. Each story highlights a different challenge solved through creative technical solutions: 1) Automating stored procedure generation. 2) Generating joins by reading metadata. 3) Mapping fonts to work around software limitations. 4) Creating an easy-to-use program for a coworker with disabilities. 5) Writing a file checking utility in a day. 6) Creating a color-coded report to identify issues across departments. 7) Monitoring remote switches and troubleshooting connection issues. The last story describes consolidating duplicate reports into a single automated report. The moral is to know the technology, business needs, and take time for creative thinking.
This document discusses MAMP (Macintosh, Apache, MySQL, PHP), a free and open-source web development environment for macOS. It provides an overview of MAMP itself as a German company and its generally stable but sometimes finicky releases. Key components like the Apache web server, MySQL database, and PHP programming language are explained. The benefits of developing websites locally before deploying and tools like PhpMyAdmin for database administration are also summarized.
GraphSummit Singapore | The Art of the Possible with Graph - Q2 2024Neo4j
Neha Bajwa, Vice President of Product Marketing, Neo4j
Join us as we explore breakthrough innovations enabled by interconnected data and AI. Discover firsthand how organizations use relationships in data to uncover contextual insights and solve our most pressing challenges – from optimizing supply chains, detecting fraud, and improving customer experiences to accelerating drug discoveries.
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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Communications Mining Series - Zero to Hero - Session 1DianaGray10
This session provides introduction to UiPath Communication Mining, importance and platform overview. You will acquire a good understand of the phases in Communication Mining as we go over the platform with you. Topics covered:
• Communication Mining Overview
• Why is it important?
• How can it help today’s business and the benefits
• Phases in Communication Mining
• Demo on Platform overview
• Q/A
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Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
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One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
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ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
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Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
2. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
AI’s are Everywhere
three of the 22 here are real
Talos — Jason & the Argonauts
The Mechanical Turk — popular chess playing fake (18th century)
TicTok — Wizard of Oz
Robot Maria — Metropolis
Joe (transparent robot) — The Proud Robot
Roy Batty (replicant) - Bladerunner
R2-D2 & C-3PO — Star Wars
Terminator — Terminator
Rommie (ship avatar) — Andromeda
Android Gunslinger — West World
Commander Data — Star Trek Next Generation
Mecha — AI
Sonny — I, Robot
BB-8 — Star Wars
Eve & Wall-E — Wall-E
Asimo — Honda robot
Johnny 5 - Short Circuit
Sophia — The First Robot Declared a Citizen by Saudi Arabia (2016)
3. Janet — The Good Place
Ava — Ex Machina
Samantha — Her
Denise Virtual Assistant — NextOS (now Realbotix)
Real are Asimo, Sophia, & Denise
many from https://www.zdnet.com/pictures/15-of-the-best-movies-about-ai-ranked/16/
https://www.goodreads.com/book/show/19003281-the-proud-robot
4. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
History
• Talos (way old)
• Antikythera
(200 BC)
• Mechanical
Turk
(1770-1854)
• Difference
Engine (1833)
Mechanical Turk: https://spectrum.ieee.org/tech-talk/tech-history/dawn-of-electronics/untold-history-of-ai-charles-babbage-and-the-turk
In 2014, a study by Carman and Evans argued for a new dating of approximately 200 BC based on identifying the start-up date on the Saros Dial as the astronomical
lunar month that began shortly after the new moon of 28 April 205 BC.[15][16] Moreover, according to Carman and Evans, the Babylonian arithmetic style of prediction
fits much better with the device's predictive models than the traditional Greek trigonometric style.[15] A study by Paul Iversen published in 2017 reasons that the
prototype for the device was indeed from Rhodes, but that this particular model was modified for a client from Epirus in northwestern Greece; Iversen argues that it was
probably constructed no earlier than a generation before the shipwreck, a date supported also by Jones.[46]
The Turk, also known as the Mechanical Turk or Automaton Chess Player (German: Schachtürke, "chess Turk"; Hungarian: A Török), was a fake chess-playing machine
constructed in the late 18th century. From 1770 until its destruction by fire in 1854 it was exhibited by various owners as an automaton, though it was eventually revealed
to be an elaborate hoax.[1] Constructed and unveiled in 1770 by Wolfgang von Kempelen (Hungarian: Kempelen Farkas; 1734–1804) to impress the Empress Maria
Theresa of Austria, the mechanism appeared to be able to play a strong game of chess against a human opponent, as well as perform the knight's tour, a puzzle that
requires the player to move a knight to occupy every square of a chessboard exactly once.
The Turk was in fact a mechanical illusion that allowed a human chess master hiding inside to operate the machine. With a skilled operator, the Turk won most of the
games played during its demonstrations around Europe and the Americas for nearly 84 years, playing and defeating many challengers including statesmen such as
Napoleon Bonaparte and Benjamin Franklin. The device was later purchased in 1804 and exhibited by Johann Nepomuk Mälzel. The chess masters who secretly
operated it included Johann Allgaier, Boncourt, Aaron Alexandre, William Lewis, Jacques Mouret, and William Schlumberger, but the operators within the mechanism
during Kempelen's original tour remain a mystery.
5. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
What do we mean by Artificial
intelligence?
• Evolving
understanding
• Sense of others
• Sense of self
http://www.decadecounter.com/readingroom/kuttner.htm
A robot with self-regard
Why now:
Big Data
Big CPUs
Big Wins
we will be doing weak AI here: machine learning: minimum cutoff: unsupervised & evolving
No context, no ontology, no sense of self or other, still amazing for what it is
And if you are a programmer, go here!
6. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Where is AI now?
• NOT strong or general AI. No common sense.
No ontology. Invariably narrow focus.
• BIG DATA: Google search, Twitter, …
• BIG CPUs: (parallel processing, graphics
processors, especially NVIDIA)
• and BIG WINS: GoogleTranslate, ImageNet,
AlphaZero (DeepMind), Watson
• Here AI means: unsupervised & evolving
machine learning
• Which can perform at better than human levels,
at least with respect to some characteristics
8. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Covid-19
https://www.understandcovid.org
At every angle of attack
there are web sites to collect all Covid-19 datasets
used to find new attack mechanisms used by the coronavirus
new lines of attack against it
estimates of the spread
of the lockdown effectiveness from cell phone usage!
drug discovery
diagnosis
minimizing contact
disseminating correct information
9. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
driverless car
terminator view
fatal accidents rare but not unknown
expect the unexpected
nearly safer than humans already I suspect, especially for long haul truck driving
in amazon’s own feature upload a self-driving car is used as a murder implement: they are trusted so much that the victim is unsuspecting
watch out for unicorns:
https://www.nytimes.com/2019/08/26/opinion/3d-printed-unicorns.html
10. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
AlphaZero
• Learns by itself
• Beat AlphaGo
• Plays chess,
checkers, shoji, …
that’s not sexy, sexy is taking starfighters to the ends of the Galaxy & blowing up things with tentacles
games: reason: well-defined problem space
chess the first big win
— in fact first chess AI built before first computers — founders fascinated
alpha Go biggest win
but it was fed games
alpha zero plays itself
and then learns other games as well
using GAN
fix the problem of how to get enough data.
DeepMind Technologies is a UK based artificial intelligence company and research laboratory founded in September 2010, and acquired by Google[4] in 2014. The
company is based in London, with research centres in Canada,[5] France,[6] and the United States. In 2015, it became a wholly owned subsidiary of Alphabet Inc.
11. The company has created a neural network that learns how to play video games in a fashion similar to that of humans,[7] as well as a Neural Turing machine,[8] or a
neural network that may be able to access an external memory like a conventional Turing machine, resulting in a computer that mimics the short-term memory of the
human brain.[9][10]
The company made headlines in 2016 after its AlphaGo program beat a human professional Go player Lee Sedol, the world champion, in a five-game match, which was
the subject of a documentary film.[11] A more general program, AlphaZero, beat the most powerful programs playing go, chess and shogi (Japanese chess) after a few
days of play against itself using reinforcement learning.[12]
15. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Twittering Machine
• By imitating thought,
understand it,
• By seeing what is
mechanical, have a
better appreciation for
what is human,
• And change & extend
what we mean by
“human”
Paul Klee
another crank, and not the last
Photography did not replace art, complements, as in last slide
22. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Swarms
https://www.solutions4u-asia.com/emailc/SwarmIntelligenceForOptimization.html
inspired by ants
parallel processing: know your losers
crowdsourcing
drones very literally — tho curiously I don’t know how much the actual drones communicate
key to success: 100s or 1000s of entities, but if you kill the rest when one or two succeed, the economics are not bad
24. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
DreamCatcher
/AutoDesk
• Antenna on right 2x
more efficient
• AI mechanical/
logical/Vulcan?
• Actually organic/
alien biology
• Neural net designed
by a genetic
algorithm
picture of the crane
advantages:
cheap at scale
reliable
explore whole solution space
https://www.autodesk.com/research/projects/project-dreamcatcher
https://medium.com/intuitionmachine/the-alien-look-of-deep-learning-generative-design-5c5f871f7d10
https://medium.com/intuitionmachine/the-alien-look-of-deep-learning-generative-design-5c5f871f7d10
https://medium.com/intuitionmachine/the-alien-look-of-deep-learning-generative-design-5c5f871f7d10
What happens when you have Deep Learning begin to generate your designs? The commons misconception would be that a machine’s design would look ‘mechanical’
or ‘logical’. However, what we seem to be finding is that they look very organic, in fact they look organic or like an alien biology. Take a look at some of these fascinating
designs.
These Long Short Term Memory (LSTM) are designed by an algorithm and shown to be more effective than the conventional LSTM (Note: These are Neural Networks
designed with memory elements). These are generative neural architectures, machines that learn to learn, more like meta meta-models. Learning apparently is not
25. uniform and I highly suspect that meta-level reasoning is a primary mechanism in learning and that is reflected by its biological manifestation. After all, isn’t learning
enhanced by diversity as well as adaptability? The same ingredients to biological survival?
26. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Face-recognition AI could only “see” Joy
Buolamwini when she wore a white mask
Google & the Chimps
https://www.newscientist.com/article/mg24732951-400-coded-bias-review-an-eye-opening-account-of-the-dangers-of-ai/
Read more: https://www.newscientist.com/article/mg24732951-400-coded-bias-review-an-eye-opening-account-of-the-dangers-of-ai/#ixzz6aymi5nAd
weakness in the training sets:
medical trials
WEIRD — Basically white, west coast, male, upper middle class, college educated, …
27. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
I do not think that picture
shows what you think it shows
Preying
Mantis
Shih TzuTemple
School
Bus
ostrich,
Struthio camelus
ostrich,
Struthio camelus
ostrich,
Struthio camelus
ostrich,
Struthio camelus
Szegedy et al — https://arxiv.org/abs/1312.6199
Texture versus shape
Szegedy et al — https://arxiv.org/abs/1312.6199
28. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Avoiding Nuclear War
• 1983/Intl Tensions high
• 5 US missiles reported
• Too few for a strike
• Detection system new
• Report came in too
quickly
• No ground radar
confirmation
Lt. Col Petrov
No common sense
In the aftermath of the incident, the Soviet government investigated the incident and determined that Petrov had insufficiently documented his actions during the crisis.
He explained it as "Because I had a phone in one hand and the intercom in the other, and I don't have a third hand"; nevertheless, Petrov received a reprimand.[4]
30. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Trending Topics:
When Bubbles Collide
Curiously, the way to actually succeed at internet argument is to listen!
Like Traffic Jams — actually this was predicted by Vernor Vinge, the net of a thousand lies or some such
Try DuckDuckGo if you would rather not be bubbled
32. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Weapons of Math
Destruction
• Good teacher fired for
not meeting numbers
• Appears that previous
grades for class had
been up-revved (faked)
• “Hey, what can you
do?”
dangers of algorithms
applied blindly but fiercely
paperclip problems (soviet nail problem)
33. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
If you are not paying for the
product, you are the product
• Monitor every click &
keystroke
• Use AI to assess current
emotional state
• Use AI to target with
appropriate ads for max sales
• Deny all the above
https://www.nytimes.com/2020/01/24/opinion/sunday/surveillance-capitalism.html
“By monitoring posts, pictures, interactions and internet activity in real time,” the executives wrote, “Facebook can work out when young people feel ‘stressed,’
‘defeated,’ ‘overwhelmed,’ ‘anxious,’ ‘nervous,’ ‘stupid,’ ‘silly,’ ‘useless’ and a ‘failure.’” This depth of information, they explained, allows Facebook to pinpoint the time
frame during which a young person needs a “confidence boost” and is most vulnerable to a specific configuration of subliminal cues and triggers. The data are then used
to match each emotional phase with appropriate ad messaging for the maximum probability of guaranteed sales.
One of the most famous when Target
35. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
• Chess — easy for AI,
hard for humans
• Perception/movement
— easy even for
infants, hard for AI
Moravec’s
Paradox
New Yorker Sep 28th, 2020. Liana Finck, p59
"it is comparatively easy to make computers exhibit adult level performance on intelligence tests or playing checkers, and difficult or impossible to give them the skills of
a one-year-old when it comes to perception and mobility”
As Moravec writes:
Ch
Encoded in the large, highly evolved sensory and motor portions of the human brain is a billion years of experience about the nature of the world and how to survive in it.
The deliberate process we call reasoning is, I believe, the thinnest veneer of human thought, effective only because it is supported by this much older and much more
powerful, though usually unconscious, sensorimotor knowledge. We are all prodigious olympians in perceptual and motor areas, so good that we make the difficult look
easy. Abstract thought, though, is a new trick, perhaps less than 100 thousand years old. We have not yet mastered it. It is not all that intrinsically difficult; it just seems
so when we do it.[3]
A compact way to express this argument would be:
We should expect the difficulty of reverse-engineering any human skill to be roughly proportional to the amount of time that skill has been evolving in animals.
The oldest human skills are largely unconscious and so appear to us to be effortless.
Therefore, we should expect skills that appear effortless to be difficult to reverse-engineer, but skills that require effort may not necessarily be difficult to engineer at all.
36. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Never trust anything that can think
for itself if you can't see where it
keeps its brain? - Mr. Weasley
• AI should not be a
chamber of secrets
• “DeepDream” lets you
see intermediate AI
images
• & we can use the tech
used to probe human
brains to probe AI!
38. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
Humanity ascendent?
• Use the AI for the many
things it is good for
• Jobs will be lost, but
jobs will also be created
• Letting us do more of
the fun stuff & less of
the other stuff
• And some stuff we just
couldn’t do before
• If we pay attention
40. http://timeandquantummechanics.comArtificial Intelligence/John Ashmead Philcon 2020
References
• Scharre 2018 - Army of None
• Pickover 2019 - Artificial Intelligence
• Mitchell 2019 - Artificial Intelligence
• Miller 2019 - The Artist in the
Machine
• Shane 2019 - You look like a thing and
I love you
Miller 2019 - The Artist in the Machine
Mitchell 2019 - Artificial Intelligence
O'Neil 2016 - Weapons of Math Destruction
Pickover 2019 - Artificial Intelligence
Scharre 2018 - Army of None
Shane 2019 - You look like a thing and I love you
Tamboli 2019 - Keeping Your AI under Control
Trask 2019 - Grokking Algorithms