So you say you love your computer or smartphone...but can it love you back? As we become more dependent on technology, and our technology becomes more lifelike, where does the line between human and computer lie? And what happens when our relationships become romantic? In this episode of Mind Field, I look into Artificial Intelligence.

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After the recent news of Facebook's artificial intelligence creating it's own language... Sapphire tells us the creepypasta story, " Don't Buy an RT " by Raidendp1 about an Ai bot who wasn't what she seemed.




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बहुत जल्द खत्म हो जाएगा इंसानों का वजूद | Will Artificial Intelligence destroy Humanity in Hindi

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The aim of Artificial Intelligence is to create intelligent machines. Creating intelligent agents would be the biggest event in human history or perhaps the very last. This talk will be about the process of creating intelligent machines, some Artificial Intelligence successes and challenges, and the future

Kamal Fataliyev is a software developer and entrepreneur. He is also an adjunct instructor at two universities in Azerbaijan. He has been working with Artificial Intelligence methods and applications for some years.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Jos Polflietin presentaatio SFD18-tapahtumassa. Presentaatio ladattavissa PDF-muodossa:

Jamal will discuss his research explaining why diversity and collaboration are of utmost importance for machines that learn about our world using AI.

Jamal is passionate about designing artificial intelligence (AI) for real-world applications. His Ph.D. in Computer Science at Michigan State University was focused on designing and investigating Al techniques for medical data analysis. He has presented his research at various national and international venues.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Jamal will discuss his research explaining why diversity and collaboration are of utmost importance for machines that learn about our world using AI.

Jamal is passionate about designing artificial intelligence (AI) for real-world applications. His Ph.D. in Computer Science at Michigan State University was focused on designing and investigating Al techniques for medical data analysis. He has presented his research at various national and international venues.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Part 01 - Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

Part 02 - Will progress in Artificial Intelligence provide humanity with a boost of unprecedented strength to realize a better future, .

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Prediction Machines: The Simple Economics of Artificial Intelligence
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"What does AI mean for your business? Read this book to find out." (Hal Varian, Chief Economist, Google)

Artificial intelligence does the seemingly impossible, magically bringing machines to life - driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.

But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.

When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity - operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete.

Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

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Is the fear of job less going to be an inhibitor in the growth of augemnted and artifical intelligence? Are there any lessons to be learned from augmenting human intelligence?
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James Hewitt is a speaker, author & performance scientist. His areas of expertise include the ‘future of work’, human wellbeing & performance in a digitally disrupted world & methods to facilitate more sustainable high-performance for knowledge workers.

Karina Vold specializes in Philosophy of Mind and Philosophy of Cognitive Science. She received her bachelor’s degree in Philosophy and Political Science from the University of Toronto and her PhD in Philosophy from McGill University. An award from the Social Sciences and Humanities Research Council of Canada helped support her doctoral research. She has been a visiting scholar at Ruhr University, a fellow at Duke University, and a lecturer at Carleton University.

Martha Imprialou is a Principal Data Scientist at QuantumBlack.

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Ginni Rometty, the Chief Executive Officer of IBM, sits down with Fareed Zakria to discuss artificial intelligence and what it means for the future of work. We should be clear about the purpose of these technologies, says Rometty, and they should be in the service of mankind. The conversation was originally published on January 18, 2017.

augmented reality demo in Virtools
In this demo, each marker has a label with the number id (1,2,3,4), the character runs through all the bases (like baseball game)in numeric order, even if the markers are moved in real-time.
Theres two types of obstacles, one he can jump over , other he can’t, that he can recognize in real-time.

Não consigo passar – I can’t pass through! (english)

Watch my keynote presentation from the Arvato Xperience Day in Berlin in September 2017. It was a great event with participants from leading international fashion brands.

This talk covers:
-consumer expectations in 2018 (frictionless shopping)
-how Amazon is eating all of retail with its Amazon Prime (Now) programme
-how direct to consumer brands like Warby Parker and Away Travel offer much better value for money by cutting out the middlemen
-how offline retail has to change if it doesn't want to die
-how brands have to embrace big data (example: Stitchfix)
-how brands can use Amazon Echo, Augmented Reality and chatbots to improve the customer experience
-the importance of mobile payment methods such as Apple Pay and WeChat Pay

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We interact with the digital world through PCs and smartphone screens. According to Robert Scoble and Shel Israel, renowned authors of the new book “The Fourth Transformation,” that’s about to change dramatically as head-mounted virtual interfaces (VR), powered by artificial intelligence A.I. and machine learning, will immerse us in digital worlds. You’ll rethink every part of your digital strategy once you see the world through Scoble and Israel’s virtual reality goggles.

Michael Krigsman is an industry analyst and the host of CXOTALK

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From the transcript:

(04:39) Shel Israel, why does this all matter? What are the implications?

Shel Israel:

(04:48) Well, that gets to the core of the Fourth Transformation. I’m not going to walk through the whole thing, but in the First Transformation, we started with putting words into PCs, on knowledge worker desktops, in the form of personal computers. Then, we went to point-and-click with the McIntosh, and that meant everyone could use these desktop things. Then, we went to touch and mobility, and that brought us into what is now this third transformation where anyone is using digital technology everywhere. Now, we’re going to go to a system which is much more intimate than what we have with phones. We’re going to have things in a few years that look like glasses I’m wearing. And, they are going to allow us to do all the things that I had just named: MR, AR, VR; and we’re not going to look freakish, and we’re not going to be tethered to anything.

(05:56) This means that the customer experience in stores is going to be changed because they can do things in 3D. They will walk into stores, be at home, and have an immersive experience with the product.

Robert Scoble:

(10:48) Sensors that are seen around the world, that is billions of dollars for R&D, right? IM-Sense was bought by Apple. Google Tango is doing the same kinds of research, Meta is doing the same kind of … Everybody who wants to build a mixed reality glass has to build sensors to see the world in 3D and bring it into the glass. Then, you talk about the connectivity that you're going to need, right? Because with mixed reality glasses, you get as many TV screens around you as you want. So imagine being able to watch CNN here; here, ESPN is playing; and over here, you can watch your security cameras from your business; and over here, you can watch Amazon servers; and over here, you can watch Facebook. You just look around, you have dozens of screens all around you, and you don't have to buy more if you want more screens.

(11:42) But, to serve all those screens with hi-res 4K or 8K video, or eventually even more in the future, you’re going to need a lot of bandwidth, and that’s 5G. 5G brings 35 gigabits per seconds down to the glasses, but we don't yet have 5G and we're going to … And, Verizon has to re-do the architecture on a city, because the cell tower needs to be a kilometer and a half from you or closer, and that's not true with today's cell technology. You can be 15 kilometers away. So, they need to put a lot more cell towers into a city and they put fiber into each one of those antennas, so it's going to bring us 5G. That's coming this year, right? Verizon is turning on the first 11 cities this year. And that's really […]

(12:29) You go through the GPU; the GPU is needed to display the polygon. So, when you are seeing virtual things in VR or AR, you're seeing millions of little polygons or little triangles that are underneath what you're seeing; and you'll need a better GPU to process more of those. So, if you want to increase the resolution or increase the frame rates, or increase the experience of being immersed in the media, you need more GPU; or, you need to do a lot of trickery with […] rendering. And you look at the R&D budgets of NVidia, and AMD, and Qualcomm, and [Mallway], and other companies that are building these chips; they are spending billions of dollars per quarter in R&D.

(13:10) Then you keep looking around; there are companies that are building eye sensors. GoogleBot, Eyefluence that’s in our book, Facebook product company called Eye Tribe; there is lots of money spent on that, and particularly in the new user interfaces that you’re experiencing when you get a glass like this. They’re investing that.

Stuart Russell argues for a fundamental reorientation of the field artificial intelligence. Click here to watch the full keynote

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Stuart Russell is a professor of Computer Science at UC Berkeley as well as co-author of the most popular textbook in the field – Artificial Intelligence: A Modern Approach. Given that it has been translated into 13 languages and is used in more than 1,300 universities in 118 countries, I can hardly think of anyone more qualified or more appropriate to discuss issues related to AI or the technological singularity. Unfortunately, we had problems with our internet connection and, consequently, the video recording is among the worst I have ever published. Thus this episode may be a good candidate to listen to as an audio file only. However, given how prominent Prof. Russel is and how generous he was with his time, I thought it would be a sad loss if I didn’t publish the video also, poor quality as it is.

During our 90 min conversation with Stuart Russell we cover a variety of interesting topics such as: his love for physics and computer science; human preferences, expected utility and decision making; why his textbook on AI was “unreasonably successful”; his dream that AI will contribute to a Golden Age of Humanity; aligning human and AI objectives; the proper definition of Artificial Intelligence; Machine Learning vs Deep Learning; debugging and the King Midas problem; the control problem and Russell’s 3 Laws; provably safe mathematical systems and the nature of intelligence; the technological singularity; Artificial General Intelligence and consciousness…

As always you can listen to or download the audio file above or scroll down and watch the video interview in full. To show your support you can write a review on iTunes, make a direct donation or become a patron on Patreon.

How can we harness the power of superintelligent AI while also preventing the catastrophe of robotic takeover? As we move closer toward creating all-knowing machines, AI pioneer Stuart Russell is working on something a bit different: robots with uncertainty. Hear his vision for human-compatible AI that can solve problems using common sense, altruism and other human values.

Recorded August, 2017

Stuart Russell is a computer scientist known for his contributions to artificial intelligence.
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The National Academies of Sciences, Engineering, and Medicine organized a half-day colloquium on artificial intelligence and its implications for U.S. interests on August 7, 2017.

What is a true artificial intelligence and why don't we have it today? To answer this question, high school student Andrew Zeitler looks at the different parts of our mind that make us human beings. We are given an idea of how certain processes of our brain can be programmed with today's technology. He takes us on a journey from the hard-wired neurones of our brain to the very fundamental aspects of the human species. Within this thought-provoking talk, Andrew shares his idea of how an artificial mind may "think" and how such a program would function just like a human being.

Andrew Zeitler is a 17-year-old student in grade 11 at St. Mary CSS. Growing up, Andrew has had many influences from his three siblings and parents. From a young age, he has spent a lot of time working with computers. This experience with computers has allowed Andrew to develop a passion for computer related topics such as electronics and programming as well as partake in the school’s robotics team. Andrew is also interested in music and is a member in the school’s senior and jazz bands. Within these bands, he plays both the tuba and bass guitar. On top of this, Andrew also works part time as a deli clerk within a grocery store. When he finds spare time between school and work, Andrew works on developing different programs and algorithms for learning purposes. After graduation, Andrew hopes to study in the field of computer science at a nearby university. This will be Andrew’s first TED event and he looks forward to having the opportunity to share his ideas.

While much of this technology is still fairly rudimentary at the moment, we can expect sophisticated AI to one day significantly impact our everyday lives.

Is this time different? Artificial intelligence is capturing the curiosities, hopes, and fears of people all over the country. Will AI spur extraordinary improvements in security, healthcare, and convenience all while creating new industries, boosting US productivity, and improving quality of life? Or will AI cause millions of workers to become redundant, catalyze massive unemployment, and undermine the socio-economic fabric of American democracy? Born in Ithaca, New York, Julian is the Founding Editor in Chief of the Brown University Journal of Philosophy, Politics, and Economics (PPE) and a journalist. He has published more than 35 articles and essays in 15 publications and has conducted interviews with Bernie Sanders, David Cameron, Noam Chomsky, Peter Hitchens, Tom Perez, and Reza Aslan among others. For over a year, his work has focused on emerging technology and the effects of artificial intelligence on US income inequality and American democracy. His research on the topic is being used to support his senior thesis, which is being supervised by political economy scholar Mark Blyth. He has also worked as an intern at The Brookings Institution and in President Barack Obama's post-presidency office, where he supported the 44th President's correspondence, communications, and speechwriting teams. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Geordie Rose, Founder of D-Wave (recent clients are Google and NASA) believes that the power of quantum computing is that we can `exploit parallel universes’ to solve problems that we have no other means of confirming.

Dr. Fei Fei Li, Director of Stanford’s Artificial Intelligence Lab explores how AI will be a driver for our future. She discusses what AI technology is already being developed, the challenges scientists are still facing, and the potential consequences for every industry and almost every facet of our lives. Stanford University School of Engineering's Fei-Fei Li, an associate professor of computer science, presents an exploration into the visual intelligence in computers during Stanford Engineering's EngX: The Digital Sensory System conference.

In this talk, Professor Li provides an overview on computer vision and its history and shares some of her recent work to enable large-scale object recognition. More than half of the human brain is involved in visual processing. The remarkable human visual system evolved over billions of years, but computer vision is one of the youngest disciplines of Artificial Intelligence (AI).

Martin Ford is a futurist focusing on the impact of artificial intelligence and robotics on society and the economy, and the author of two books: Rise of the Robots: Technology and the Threat of a Jobless Future (2015) and The Lights in the Tunnel: Automation, Accelerating Technology and the Economy of the Future (2009). Both books deal with the effects of automation and the potential for structural unemployment and dramatically increasing inequality.

Recorded: July 2017

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Alan Turing (1912-1954) is well known for many things, most notably his work in breaking German codes during World War 2. After the war he was closely involved in the development of Britain’s first programmable electronic computers, and laid important foundations for research into artificial intelligence. Sir Dermot Turing reviews the life of Alan Turing and his contribution to AI. From this perspective, he examines whether AI has moved on since 1949, when the question whether ‘machines can think’ first came to the public consciousness, and whether the fears and threats to society which were first discussed 70 years ago remain valid today.

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Artificial intelligence is playing an increasingly important role in new software products, but the workflow of an AI researcher is quite different from the workflow of the software developer. Peter Norvig explains how the two can come together.

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