Artificial Intelligence has become an essential part in our day-to-day life, and with the advancements in this field and how close we got to the Artificial Consciousness it’s getting into all types of digital media and even the film and TV industry. Machines now can author novels, create art, generate videos, act as news anchors, write fiction, compose music and the skies are the limit.
Where is AI taking us to future with digital media? Will there become a day that it will totally replace us? What is Digital Creativity and how close it is to our human creativity? How can we deal with a future where all these scary factors are approaching fast?
All these topics and more will be the core of the subject of the speech. It’s a conversation long due now and we should initiate it now before it’s too late. My experience in both Digital Media and Artificial Intelligence alongside with my recent research about Artificial Consciousness makes me qualified to carry such a tough conversation and bring it to light. I always say: Machines are NOT coming,they’re already here.
On March 26, 2015 Steve Omohundro gave a talk in the IBM Research 2015 Distinguished Speaker Series at the Accelerated Discovery Lab, IBM Research, Almaden.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the “Safe-AI Scaffolding Strategy” for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by the laws of physics, mathematical proof, and cryptographic complexity. “Smart contracts” are a promising decentralized cryptographic technology used in Ethereum and other second-generation cryptocurrencies. They can express economic, legal, and political rules and will be a key component in governing autonomous technologies. If we are able to meet the challenges, AI and robotics have the potential to dramatically improve every aspect of human life.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know AboutBernard Marr
Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.
Artificial intelligence a bane or boon-pdfAvlin Roy
Presently we are surrounded by various technologies. All these technologies have their own pros & cons and are evolving. Artificial Intelligence is one such future technology which is making its place & demand in this market very steadily. But the big question is, Is it a boon or a bane? Check it out here.
On March 26, 2015 Steve Omohundro gave a talk in the IBM Research 2015 Distinguished Speaker Series at the Accelerated Discovery Lab, IBM Research, Almaden.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating “arms races” in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial “rational drives” of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the “Safe-AI Scaffolding Strategy” for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by the laws of physics, mathematical proof, and cryptographic complexity. “Smart contracts” are a promising decentralized cryptographic technology used in Ethereum and other second-generation cryptocurrencies. They can express economic, legal, and political rules and will be a key component in governing autonomous technologies. If we are able to meet the challenges, AI and robotics have the potential to dramatically improve every aspect of human life.
Social Impacts of Artificial intelligenceSaqib Raza
This lecture gives detail introduction, applications about AI. This lecture gives details about the social perspective and realities in the field of AI.
"AI is “our greatest existential threat…”
“I’m increasingly inclined to think that there should be some regulatory oversight, maybe at the national and international level, just to make sure that we don’t do something very foolish.”
“I think there is potentially a dangerous outcome there.” (referring to Google’s Deep Mind which he invested in to keep an eye on things)."
Elon Musk
Is Artificial Intelligence Dangerous? 6 AI Risks Everyone Should Know AboutBernard Marr
Discussions about artificial intelligence often focus on its positive impacts for society while disregarding the more difficult and less-popular idea that AI could also potentially be dangerous. Just like any powerful tool, AI can be used for good and bad. Here are a few AI risks everyone should know about.
Artificial intelligence a bane or boon-pdfAvlin Roy
Presently we are surrounded by various technologies. All these technologies have their own pros & cons and are evolving. Artificial Intelligence is one such future technology which is making its place & demand in this market very steadily. But the big question is, Is it a boon or a bane? Check it out here.
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating "arms races" in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial "rational drives" of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the "Safe-AI Scaffolding Strategy" for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by mathematical proof and cryptographic complexity. It appears that we are at an inflection point in the development of intelligent technologies and that the choices we make today will have a dramatic impact on the future of humanity.
Video of the talk: https://www.parc.com/event/2127/ai-and-robotics-at-an-inflection-point.html
Panel: AI for Social Good - Fairness, Ethics, Accountability, and TransparencyAmazon Web Services
As we begin to harness the power of artificial intelligence, machine learning, and data science in our everyday lives, we also raise complex ethical and social questions associated with bias, fairness, and transparency of algorithmic intelligence. In this panel we get into the thick of the issue. How can we best use AI with shared responsibilities between humans and systems? How can we balance the need for efficiency and exploration with fairness and sensitivity to users? How do we ensure that individuals and communities can trust these systems? Join our discussion to enrich your understanding of human-AI interaction, and how these questions will be answered in AI research, education and policies, as we strive to improve the human condition.
This is power point presentation is about Artificial intelligence.
It contains a lot of good stuff which helps you to get a good score and make your boss happy.
It also contains a short video on Sophia.
This presentation has good effects.
-Thank you
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
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.
AI and Robotics are already here. Are we ready to embrace the reality of its impact on the future of jobs and the Workplace? What are the jobs that are likely to become redundant?
For better future, AI experts, policymakers, Researchers, and society as a
whole have to carefully consider the potential impacts of AI and work to
ensure that its development and operationalization observe ethical principles
and benefit humanity
Google, IBM, Microsoft, Apple, Facebook, Baidu, Foxconn, and others have recently made multi-billion dollar investments in artificial intelligence and robotics. Some of these investments are aimed at increasing productivity and enhancing coordination and cooperation. Others are aimed at creating strategic gains in competitive interactions. This is creating "arms races" in high-frequency trading, cyber warfare, drone warfare, stealth technology, surveillance systems, and missile warfare. Recently, Stephen Hawking, Elon Musk, and others have issued strong cautionary statements about the safety of intelligent technologies. We describe the potentially antisocial "rational drives" of self-preservation, resource acquisition, replication, and self-improvement that uncontrolled autonomous systems naturally exhibit. We describe the "Safe-AI Scaffolding Strategy" for developing these systems with a high confidence of safety based on the insight that even superintelligences are constrained by mathematical proof and cryptographic complexity. It appears that we are at an inflection point in the development of intelligent technologies and that the choices we make today will have a dramatic impact on the future of humanity.
Video of the talk: https://www.parc.com/event/2127/ai-and-robotics-at-an-inflection-point.html
Panel: AI for Social Good - Fairness, Ethics, Accountability, and TransparencyAmazon Web Services
As we begin to harness the power of artificial intelligence, machine learning, and data science in our everyday lives, we also raise complex ethical and social questions associated with bias, fairness, and transparency of algorithmic intelligence. In this panel we get into the thick of the issue. How can we best use AI with shared responsibilities between humans and systems? How can we balance the need for efficiency and exploration with fairness and sensitivity to users? How do we ensure that individuals and communities can trust these systems? Join our discussion to enrich your understanding of human-AI interaction, and how these questions will be answered in AI research, education and policies, as we strive to improve the human condition.
This is power point presentation is about Artificial intelligence.
It contains a lot of good stuff which helps you to get a good score and make your boss happy.
It also contains a short video on Sophia.
This presentation has good effects.
-Thank you
Branch of computer science that develops machines and software with human-like intelligence
top 5 artificial intelligence stocks
artificial intelligence technology
artificial intelligence articles
artificial intelligence companies
artificial intelligence stocks to buy
artificial intelligence robots
artificial intelligence in medicine
artificial intelligence wikipedia
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.
AI and Robotics are already here. Are we ready to embrace the reality of its impact on the future of jobs and the Workplace? What are the jobs that are likely to become redundant?
For better future, AI experts, policymakers, Researchers, and society as a
whole have to carefully consider the potential impacts of AI and work to
ensure that its development and operationalization observe ethical principles
and benefit humanity
There's no such thing as Artificial IntelligenceJon Whittle
Despite impressive advances in artificial intelligence (AI), none of the systems currently in use display anything remotely equivalent to human-level intelligence. That's not necessarily a bad thing - this talk argues that the future of AI is Collaborative Intelligence where the best of AI works with the best of human intelligence
With this Powerpoint presentation you will be to understand Artificial Intelligence or A.I. . See you learnt something from the description. Other name of Artificial Intelligence!!!
Over 23 million software developers in 2018, this
number is expected to reach 26.4 million by the end of 2019 and
27.7 million by 2023 according to Evans Data Corporation. The
number of programmers continues to grow to this day as
technology is the Forthcoming, especially in the AI field. Where
there are 300,000 “AI researchers and practitioners” in the world,
but the market demand is for millions of roles, so many people
Siding to this field. Nowadays, most people learn the
programming field as inquisitiveness but for their interest,
however, they delve deeper into this field, which enhances their
passion for and leaves their work to practice programming as
occupation due to the availability of jobs and the most request for
it. Over time, new languages have emerged, it has evolved to
meet human needs in the form of programming languages. You
can instruct the computer in the human-readable form where
programming will enable you to learn the significance of clarity
of expression, many determinations can be achieved,
importantly, relationships, semantics, and grammar can be
defined.
Presented at AI NEXTCon Seattle 1/17-20, 2018
http://aisea18.xnextcon.com
join our free online AI group with 50,000+ tech engineers to learn and practice AI technology, including: latest AI news, tech articles/blogs, tech talks, tutorial videos, and hands-on workshop/codelabs, on machine learning, deep learning, data science, etc..
Can Machines And Artificial Intelligence Be Creative?Bernard Marr
While artificial intelligence can be creative, what's most compelling is the creative output when humans and machines collaborate, whether that's in art, music, dance, design, recipes, or publishing. Here we look at the way AI is a tool to augment human creativity rather than a replacement.
In 1980, John Searle introduced a division of the field of AI into.docxwilcockiris
In 1980, John Searle introduced a division of the field of AI into "strong" and "weak" AI. Strong AI denoted the attempt to develop a full human-like intelligence, while weak AI denoted the use of AI techniques to either better understand human reasoning or to solve more limited problems. Although there was little progress in developing a strong AI through symbolic programming methods, the attempt to program computers to carry out limited human functions has been quite successful. Much of what is currently labeled AI research follows a functional model, applying particular programming techniques, such as knowledge engineering, fuzzy logic, genetic algorithms, neural networking, heuristic searching, and machine learning via statistical methods, to practical problems. This view sees AI as advanced computing. It produces working programs that can take over certain human tasks. Such programs are used in manufacturing operations, transportation, education, financial markets, "smart" buildings, and even household appliances.
For a functional AI, there need be no quality labeled "intelligence" that is shared by humans and computers. All computers need do is perform a task that requires intelligence for a human to perform. It is also unnecessary, in functional AI, to model a program after the thought processes that humans use. If results are what matters, then it is possible to exploit the speed and storage capabilities of the digital computer while ignoring parts of human thought that are not understood or easily modeled, such as intuition. This is, in fact, what was done in designing the chess-playing program Deep Blue, which in 1997 beat the reigning world chess champion, Gary Kasparov. Deep Blue does not attempt to mimic the thought of a human chess player. Instead, it capitalizes on the strengths of the computer by examining an extremely large number of moves, more moves than any human player could possibly examine.
There are two problems with functional AI. The first is the difficulty of determining what falls into the category of AI and what is simply a normal computer application. A definition of AI that includes any program that accomplishes some function normally done by a human being would encompass virtually all computer programs. Nor is there agreement among computer scientists as to what sorts of programs should fall under the rubric of AI. Once an application is mastered, there is a tendency to no longer define that application as AI. For example, while game playing is one of the classical fields of AI, Deep Blue's design team emphatically states that Deep Blue is not artificial intelligence, since it uses standard programming and parallel processing techniques that are in no way designed to mimic human thought. The implication here is that merely programming a computer to complete a human task is not AI if the computer does not complete the task in the same way a human would.
For a functional approach to result in a full human-like in.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
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.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
SAP Sapphire 2024 - ASUG301 building better apps with SAP Fiori.pdfPeter Spielvogel
Building better applications for business users with SAP Fiori.
• What is SAP Fiori and why it matters to you
• How a better user experience drives measurable business benefits
• How to get started with SAP Fiori today
• How SAP Fiori elements accelerates application development
• How SAP Build Code includes SAP Fiori tools and other generative artificial intelligence capabilities
• How SAP Fiori paves the way for using AI in SAP apps
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
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.
PHP Frameworks: I want to break free (IPC Berlin 2024)Ralf Eggert
In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development.
This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
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.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
2. About the Speaker
3/1/2018 2
• Started programming since 9
• Holds a Ph.D in I.T.
• Worked in AI and Cybersecurity for over 7
years
• Working in I.T. field for 20 years
• Passionate about Artificial Intelligence and
the future of humanity with rapid growing
technology
3. Table of Contents
3/1/2018 Hisham Qaddoumi 3
Topic 1
Artificial Intelligence in a
glimpse
Topic 2
AI advancement. Should we
be afraid
Topic 3
AI as your favorite novelist
and future Storyteller
Topic 4
AI Creates Collection Worth Art
and Music
Topic 5
Fake or remake? The great AI
manipulation.
Chapter 6
Will AI Replace Human
Beings in Creativity?
5. When did AI started
The real start of AI started with the first
machine invented by Alan Turing in
1941 that was meant to solve the
German army coded messages during
World War II.
The machine succeeded and the allied
won the war.
3/1/2018 5
6. What is AI?
Artificial intelligence (AI, also machine intelligence, MI) is intelligence
demonstrated by machines, in contrast to the natural intelligence (NI)
displayed by humans and other animals. In computer science AI
research is defined as the study of "intelligent agents": any device
that perceives its environment and takes actions that maximize its
chance of successfully achieving its goals. Colloquially, the term
"artificial intelligence" is applied when a machine mimics “cognitive”
functions that humans associate with other human minds, such as
“learning” and “problem solving”. Wikipedia
3/1/2018 6
7. What is AI?
Artificial intelligence (AI, also machine intelligence, MI) is intelligence
demonstrated by machines, in contrast to the natural intelligence (NI)
displayed by humans and other animals. In computer science AI
research is defined as the study of "intelligent agents": any device
that perceives its environment and takes actions that maximize its
chance of successfully achieving its goals. Colloquially, the term
"artificial intelligence" is applied when a machine mimics “cognitive”
functions that humans associate with other human minds, such as
“learning” and “problem solving”. Wikipedia
3/1/2018 7
8. THE BIG AI HOAX
What Does People think of AI?
3/1/2018 8
10. AI Between Fear and Reality
• Fear: AI is pretty much what is depicted in the “Terminator” movie
• Reality: AI has never reached the “full intelligence”. All AI
machines now are “narrow-AI”. They only do one specific task yet
they run it faster, more accurate and more dedicated than we’ll
ever be.
3/1/2018 10
11. Examples of Narrow AI Supersede Humans
• Alpha GO (AI that beat world class players in the GO game)
• IBM Deep Blue (AI that beat Gary Kasparov in six-game Chess
matches)
• IBM Watson (AI that beat two top human players in the game
“Jeopardy”)
3/1/2018 11
12. AN AI NOVEL AUTHOR
AI and Literature
3/1/2018 12
13. Your Favorite Author: Human or AI?
In 2016 a group of Students in Japan create an AI called: “The Day A
Computer Writes A Novel”. Hitoshi Matsubara and his team at Future
University Hakodate in Japan selected words and sentences, and set
parameters for construction before
letting the AI “write” the novel autonomously.
The novel was a finalist in the “Hoshi Shinichi
Literary Award”.
3/1/2018 13
15. AI and Storytelling
Storytelling has always been a keystone in our collective
human culture. It’s a part of who we are and what makes us
unique, also it’s a reason of the advancement in our civilization
and everything we achieved. Storytelling is a key to creativity
and imagination because creating a unique storyline is far
more complicated than constructing the story itself.
3/1/2018 15
16. Project Scheherazade
Developed by Mark Riedel and colleagues at the
Georgia Institute of Technology / Atlanta, can tell
stories set in any world that it can learn about via
the Internet. Using crowdsourcing platforms like
Amazon’s Mechanical Turk.
3/1/2018 16
17. Artificial Intelligence and Imagination
What If
3/1/2018 17
Artificial intelligence can’t imitate human
imagination but we teach AI how
human imagination works?
19. Twist the Tale
The What If Machine is an AI engine that learn to invert the facts that
it knows about the world and twists them to create an imagined
narrative.
3/1/2018 19
Monkeys LOVE
Bananas
Monkeys are
AFRAID of
BananasWhat if >
21. The AI Artist in You
In 2012 Simon Colton unfurled, from his loft that overlooks one of the
buzzing artistic neighborhoods in Paris France, a group of giant
paintings one after another. One of them called “The Dancing
Salesman Problem”, featuring colorful human figures dancing on a
black background. The painting was created by a piece of software
called the “Painting Fool”, which seeks artistic inspiration and,
arguably, has a rudimentary imagination. Colton confirms that though
he designed the software, he has no influence on its artwork and it
creates its artworks by itself only.
3/1/2018 21
22. The Painting Fool
A lot of controversy happened after the artworks of the “Painting
Fool” revealed, mostly from the artistic community.
3/1/2018 22
24. When AI Writes Music
In 1981 David Cope suffered what we call “composer’s
block” while he was writing an Opera. He was thinking:
what if a computer could understand his style of music
and help him write new material?
He came up with a program called Experiments in
Musical Intelligence (EMI). He fed it with musical
scores. EMI Came up with new material in his style and
also in styles of other computers like Mozart, Bach and
Vivaldi.
The program was face by prejudice from many
musicians and was shut down in 2004.
3/1/2018 24
25. 3/1/2018 25David Cope’s EMI: Taurus from Zodiac (in the style of Antonio Vivaldi) Source: https://youtu.be/2kuY3BrmTfQ
27. AI… Can we Believe it’s Real Anymore?
In 2017 Researchers at the University of Washington have
produced a photorealistic former US President Barack Obama.
Artificial intelligence was used to precisely model how Mr Obama
moves his mouth when he speaks.
Their technique allows them to put any words into their synthetic
Barack Obama’s mouth.
3/1/2018 27
29. 3/1/2018 29
Donald Trump played by John Di Domenico / Recurrent Neural Network run by Janelle Shane. Source: https://youtu.be/EFHyzuqjaok
30. THE BOTS GOT THE SCOOP FIRST
BREAKING NEWS
3/1/2018 30
31. The Bot got the Shot!
At 6:28 a.m. on March 17th, 2014 the Los Angeles
Times published a story about an earthquake that
had shaken California only three minutes earlier.
The report appeared with the byline of Ken
Schwencke, a programmer and journalist for the
paper. Yet, the credit should go to his computer,
which wrote the story without human input.
3/1/2018 31
32. Meet Erica the Future News Anchor
A robot called Erica (above) can not only make jokes but also has a
'soul', according to her creator. As well as learning to develop
compassion, Erica is also pipped to be a Japanese news presenter
sometime this year, and could make a national debut in April 2018.
Source: http://www.dailymail.co.uk/
3/1/2018 32
33. WILL AI REPLACE HUMAN BEINGS
IN CREATIVITY?
AI to Human
3/1/2018 33
34. The Conundrum of AI Future
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When AI gets creative, will it replace us as human
beings? Take our jobs? Maybe even end our race
gradually?
No One Knows!
37. Questions to be Answered
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• Will it be ethical to create then kill a humanized AI?
• Will we be ale to create the a new set of laws that deal with the
current vast and speedy AI advancement?
– (e.g. laws for the autonomous cars)
• Are we going obsolete?
38. THE TWO FACES OF THE
UPCOMING FUTURE WITH AI
A Friend or a Foe
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39. The Bad Face
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• AI Machines are “Power Hungry”, not good for ECO system
• AI is taking too much jobs from humans
• AI learns faster and, unlike humans, the learning process does
not require a “reboot”
• With AI gaining consciousness there are possibilities of an
unpredictable / uncontrolled exorbitant cognitive error.
– Strong / compulsive intent towards a criminal act
– Desire for self-destruction driven by frustration / depression
40. The Good (Friendly) Face
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• AI Can help us fix the Power / ECO problems
• AI created a whole set of new jobs and might help with problems
like unemployment and overpopulation
• AI gained knowledge will be in our use to learn from it
• With AI gaining consciousness there are possibilities of an
extraordinary ability to fix complicated cognitive issues.
– Crime solving will become much easier and more intuitive
– AI could provide therapeutic methods we don’t know yet
41. It’s Up To Us!
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• Create the ethics for future AI development
• Make sure to follow the “Code of Conduct” in AI researches and
studies
• Learn from our human lessons and mistakes and make sure the
AI learns them too
• Be as human as possible