Monday, October 16, 2017

Geoffrey Hinton on Human AI Symbioses, AI Emotions and Moore's Law Continuation



Geoffrey Everest Hinton FRS (born 6 December 1947) is a British-born Canadia cognitive psychologist and computer scientist, most noted for his work on artificial neural networks. As of 2015 he divides his time working for Google and University of Toronto. He was one of the first researchers who demonstrated the use of generalized backpropagation algorithm for training multi-layer neural nets and is an important figure in the deep learning community.

Sunday, October 15, 2017

Lecture 1: Introduction to Bitcoin & Cryptocurrencies | Princeton Bitcoin and Blockchain Course


In this lecture (click the time to jump to the section): * Cryptographic hash functions 1:51 * Hash pointers and data structures 20:28 * Digital signatures 29:25 * Public keys as identities 39:04 * A simple cryptocurrency 44:39

Saturday, October 14, 2017

Blockchain Will Radically Transform Our Society's Institutions | Don Tapscott



Don Tapscott, a leading theorist of the digital age, explains why the blockchain technology will fundamentally transform the institutions our societies are built upon. Because the blockchain technology powers the digital currency Bitcoin, it will not only affect how business is being made, but also our legal systems. Ultimately, the effect of the blockchain technology will be much more farreaching; it will also transform governance, healthcare, education, and various other pillars of our societies.

HPE Director: Blockchain is the Biggest Revolution, the Ultimate Industry Disruptor



Blockchain will transform value exchange as profoundly as the internet transformed information exchange. Blockchain doesn't require powerful intermediaries, which can impact payments, trading, loan settlement, supply chain, healthcare and even voting. But as customers explore what blockchain means to them, they quickly realize there are many challenges along the way to that future. Join us to learn the implications of blockchain for your industry, the use cases, some common challenges and how HPE can help you along your blockchain journey.

Introduction to the Bitcoin and the Blockchain Technology

The Present and Future of AI Robots | iRobot Founder, Rodney Brooks



Rodney Brooks, the chairman of Rethink Robotics and the former director of the MIT Artificial Intelligence Lab, and Nicholas Thompson, editor of newyorker.com, examine the current state of robotics and A.I. They will cover the problems that robots can and can’t solve and the future effect that robots will have on our economy and our personal lives. They’ll also tackle concerns about the dangers of artificial intelligence, and the ways that robots and A.I. could change the nature of warfare. Dr. Brooks will describe his decades of research into this field and his suggestions for policies that will best help humanity handle the changes that advances in robotics are bringing about.

How Decentralized Blockchain can Change the Music Industry?



Blockchain is best known as the technology underlying bitcoin, but its uses are increasingly under consideration by the music industry. The technology creates a decentralized, trusted ledger which its advocates in the music industry say could create transparency and immediate royalty payments directly from fans to music creators. Get the inside story in this panel discussion on what the blockchain is, and hear about opportunities and future applications from experts coming from a different end of the music industry.
Speakers:
• Joe Conyers III, VP Technology, Downtown Music Publishing (USA)
• Bruno Guez, Founder & CEO, Revelator (Israel)
• Vinay Gupta, Release Coordinator & General Strategist, Ethereum (Switzerland)
• Imogen Heap, Singer & Songwriter (UK)
• Benji Rogers, Founder & CEO, Pledge Music (USA)
Moderator:
• Allen Bargfrede, Executive Director of Rethink Music, Berklee College of Music, Boston,



Rise of AI: Artificial Intelligence and the Future of Humanity



Fabian Westerheide gives the first keynote at the Berlin Rise of AI conference 2017. He talks about what Artificial Intelligence is in the year 2017. He introduces several Narrow Artificial Intelligences from Google, Amazon, Parlamind to Micopsi Industries. He talks about Brain Computer Interfaces, the Internet of Agents and gives an outlook for Artificial Intelligence in 2025. He ask moral, ethical and safety questions relating our human life with AIs. Additional he speaks about jobs with perspective such as AI trainers and AI controllers.



Blockchain Will Be the Bigger Revolution than Internet! | Alex Tapscott at Google Talk



Talks at Google in London were delighted to welcome Alex Tapscott to talk about his book Blockchain Revolution, looking at how the technology behind Bitcoin can reshape the world of business and transform the old order of human affairs for the better.

The technology likely to have the greatest impact on the future of the world economy has arrived, and it's not self-driving cars, solar energy, or artificial intelligence. It’s called the blockchain.

The first generation of the digital revolution brought us the Internet of information. The second generation powered by blockchain technology is bringing us the Internet of value: a new, distributed platform that can help us reshape the world of business and transform the old order of human affairs for the better.

Blockchain is the ingeniously simple, revolutionary protocol that allows transactions to be simultaneously anonymous and secure by maintaining a tamperproof public ledger of value. Though it's the technology that drives bitcoin and other digital currencies, the underlying framework has the potential to go far beyond these and record virtually everything of value to humankind, from birth and death certificates to insurance claims and even votes.
Why should you care? Maybe you're a music lover who wants artists to make a living off their art.

And those examples are barely the tip of the iceberg. This technology is public, encrypted, and readily available for anyone to use. It's already seeing widespread adoption in a number of areas. For example, forty-two (and counting) of the world's biggest financial institutions, including Goldman Sachs, JPMorgan Chase, and Credit Suisse, have formed a consortium to investigate the blockchain for speedier and more secure transactions.

As with major paradigm shifts that preceded it, the blockchain will create winners and losers. And while opportunities abound, the risks of disruption and dislocation must not be ignored.

About the Author:
Alex Tapscott is the CEO and Founder of Northwest Passage Ventures, an advisory firm building industry-leading blockchain businesses.
Formerly, Alex was a senior executive at Canaccord Genuity, Canada’s largest independent investment bank. At age 25, he became the firm’s youngest-ever Vice President and in 2014, he founded the firm’s blockchain practice.
Over his career, Alex has worked tirelessly for his clients, raising hundreds of millions of dollars in growth capital from a global institutional investor base, and provided sound advice and counsel.



Friday, October 13, 2017

Steve Jurvetson on the Rise of AI, AI Safety, Flying Cars and Blockchain



DFJ's Steve Jurvetson talks about the effects of ICOs and SoftBank on the investment landscape and the problems presented by the potential concentration of AI innovation.



Max Tegmark: The Future of Life with AI and Other Powerful Technologies



The Future of Life with AI, Nuclear Weapons, and Other Powerful Technologies

Prof. Max Tegmark will explore how we humans have repeatedly underestimated not only the size of our cosmos (and hence our future opportunities), but also the power of our humans minds to understand it and develop technologies with the power to enrich or extinguish humanity.

Known as “Mad Max” for his unorthodox ideas and passion for adventure, Max Tegmark’s scientific interests range from precision cosmology to the ultimate nature of reality, all explored in his new popular book “Our Mathematical Universe.”

He is an MIT physics professor with more than two hundred technical papers and has featured in dozens of science documentaries. His work with the SDSS collaboration on galaxy clustering shared the first prize in Science magazine’s “Breakthrough of the Year: 2003.” He is also the president of the Future of Life Institute, which is launching a major research program supported by Elon Musk aimed at keeping artificial intelligence beneficial.



Paths to Human Level AI | Murray Shanahan



Murray Shanahan is Professor of Cognitive Robotics in the Dept. of Computing at Imperial College London, where he heads the Neurodynamics Group. His publications span artificial intelligence, robotics, logic, dynamical systems, computational neuroscience, and philosophy of mind. He was scientific advisor to the film Ex Machina, which was partly inspired by his book “Embodiment and the Inner Life” (OUP, 2010).

In this talk he describes what he sees as the main obstacles to achieving human-level artificial intelligence given the current state of machine learning, and suggests a number of ways these obstacles might be overcome. These include speculations on a) Geoff Hinton's notion of thought vectors, b) hybrid symbolic-neural approaches, and c) cognitive architectures inspired by Bernard Baars's global workspace theory.



The Dark Side of AI and the Rise of Fascism in Algorithm







Kate Crawford is a leading researcher, academic and author who works on the social implications of data, machine learning and AI. In 2016, she co-chaired the White House symposium AI Now, and recently wrote about AI and discrimination in The New York Times. In this talk, Kate Crawford will look at the potential uses of AI and machine learning in dark times, and how we might protect ourselves and those most at risk.

The AI Hype/Worry Cycle and AI limitations | Google's AI Chief John Giannandrea



Google's John Giannandrea sits down with Frederic Lardinois to discuss the AI hype/worry cycle and the importance, limitations, and acceleration of machine learning.

Medical Imaging with Virtual & Augmented Reality and Artificial Intelligence AI

Elon Musk's Dreams and Worries on AI safety, self-driving Tesla and Mars colonization



The iconic entrepreneur behind SpaceX, Tesla Motors and Paypal shares his predictions and worries for artificial intelligence, renewable energy and space exploration, in conversation with DFJ General Partner Steve Jurvetson at Stanford on Oct. 7, 2015. University President John Hennessy introduces the future-focused discussion, which follows Musk's journey from his first Internet startup in the mid-nineties to his dream of a Mars colony in the next 20 years.

How AI Helped Donald Trump Win US 2016 Presidential Election |Cambridge Analytica



Molly Schweickert from Cambridge Analytica on "How digital advertising worked for the US 2016 presidential campaign"

Friday, October 6, 2017

The Age of Cryptocurrency and The End of Fiat Currency | Paul Vigna and Michael Casey



A cyber-phenomenon that became a buzzword virtually overnight, Bitcoin constantly makes headlines, fueling endless media debate over its viability. And though today it can be used to buy almost anything, few understand the controversial currency and most think it will never be mainstream. So should we even care about Bitcoin?

In THE AGE OF CRYPTOCURRENCY: How Bitcoin and Digital Money are Challenging the Global Economic Order (January 27), leading WSJ financial writers Paul Vigna and Michael J. Casey argue Bitcoin represents a monumental paradigm shift that will transform the social, political and economic landscape. Since its advent, Bitcoin has gained a reputation for instability and illicit business; naysayers fear its power to eliminate jobs and upend the concept of a nation-state. Vigna and Casey show that cryptocurrencies can also bring good. For one, they remove the middleman from the financial system, giving the power to the people and safeguarding from the devastation of a 2008-type crash. They also promote financial equality; Bitcoin has already given the world's unbanked—those marginalized billions who’ve never had a bank account—unprecedented access to the global economy.

Regardless of its long-term effects, Vigna and Casey prove we can’t ignore Bitcoin; for better or worse, it’s here to stay. A critical, accessible look at a global phenomenon, THE AGE OF CRYPTOCURRENCY demystifies virtual currency and explains its origins, its functions, its potential value and how to navigate the new global cyber-economy.

The book published to great reviews, including in The Economist and Fortune. Harvard historian Niall Ferguson raved that “you need to read The Age of Cryptocurrency today” and leading VC Marc Andreessen likewise called it a “must-read.”

ABOUT THE AUTHORS

PAUL VIGNA is a markets reporter for The Wall Street Journal, covering equities and the economy. He is a columnist and anchor for MoneyBeat. Previously a writer and editor of the MarketTalk column in DowJones Newswires, he has been a guest on the Fox Business Network, CNN, the BBC, and the John Batchelor radio show. He has been interviewed by Bitcoin magazine and appeared on the Bitcoins & Gravy podcast, and boasts a collective 20 years of journalism experience.

MICHAEL J. CASEY writes for The Wall Street Journal, covering global finance in his "Horizons" column. He is a frequent contributor to the Journal's MoneyBeat blog and co-authors the daily "BitBeat" with Paul Vigna. He is the host of the book-themed video series "WSJ Afterword" and a frequent guest on and host of "The News Hub" and "MoneyBeat." His podcast on world economic affairs is forthcoming. Casey has written for such publications as Foreign Policy, The Washington Post, and The Financial Times. He is the author of two books: Che's Afterlife: The Legacy of an Image (Vintage, 2009), one of Michiko Kakutani's "best books of 2009," and The Unfair Trade: How Our Broken Financial System Destroys the Middle Class (Crown, 2012).



NYU Professor: JP Morgan is Wrong! Blockchain is the Real Innovation!

How Practical It Is To Live On Bitcoin Without Paper Money In 2017?



With all the excitement around bitcoin, we wondered if one person could live off of this virtual currency without paper money for a week in 2017

Elon Musk: Making Life Multiplanetary With Long-Term Technical Breakthroughs

Mark Cuban has Investment in Twitter and Bitcoin, Long AI and Blockchain

Thursday, October 5, 2017

Yann LeCun: Predictive Learning | Artificial Intelligence (AI) | NIPS Co...







Deep learning has been at the root of significant progress in many application areas, such as computer perception and natural language processing. But almost all of these systems currently use supervised learning with human-curated labels. The challenge of the next several years is to let machines learn from raw, unlabeled data, such as images, videos, and text. Intelligent systems today do not possess "common sense", which humans and animals acquire by observing the world, acting in it, and understanding the physical constraints of it. I will argue that allowing a machine to learn predictive models of the world is key to significant progress in artificial intelligence, and a necessary component of model-based planning and reinforcement learning. The main technical difficulty is that the world is only partially predictable. A general formulation of unsupervised learning that deals with partial predictability will be presented. The formulation connects many well-known approaches to unsupervised learning, as well as new and exciting ones such as adversarial training.

Date: August 2017

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Yann LeCun is Director of AI Research at Facebook, and Silver Professor of Dara Science, Computer Science, Neural Science, and Electrical Engineering at New York University, affiliated with the NYU Center for Data Science, the Courant Institute of Mathematical Science, the Center for Neural Science, and the Electrical and Computer Engineering Department.

He received the Electrical Engineer Diploma from Ecole Superieure d'Ingenieurs en Electrotechnique et Electronique (ESIEE), Paris in 1983, and a Ph.D. in Computer Science from Universite Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories in Holmdel, NJ in 1988. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU as a professor in 2003, after a brief period as a Fellow of the NEC Research Institute in Princeton. From 2012 to 2014 he directed NYU's initiative in data science and became the founding director of the NYU Center for Data Science. He was named Director of AI Research at Facebook in late 2013 and retains a part-time position on the NYU faculty.

His current interests include AI, machine learning, computer perception, mobile robotics, and computational neuroscience. He has published over 180 technical papers and book chapters on these topics as well as on neural networks, handwriting recognition, image processing and compression, and on dedicated circuits and architectures for computer perception. The character recognition technology he developed at Bell Labs is used by several banks around the world to read checks and was reading between 10 and 20% of all the checks in the US in the early 2000s. His image compression technology, called DjVu, is used by hundreds of web sites and publishers and millions of users to access scanned documents on the Web. Since the late 80's he has been working on deep learning methods, particularly the convolutional network model, which is the basis of many products and services deployed by companies such as Facebook, Google, Microsoft, Baidu, IBM, NEC, AT&T and others for image and video understanding, document recognition, human-computer interaction, and speech recognition.

LeCun has been on the editorial board of IJCV, IEEE PAMI, and IEEE Trans. Neural Networks, was program chair of CVPR'06 and is chair of ICLR 2013 and 2014. He is on the science advisory board of Institute for Pure and Applied Mathematics and has advised many large and small companies about machine learning technology, including several startups he co-founded. He is the lead faculty at NYU for the Moore-Sloan Data Science Environment, a $36M initiative in collaboration with UC Berkeley and University of Washington to develop data-driven methods in the sciences. He is the recipient of the 2014 IEEE Neural Network Pioneer Award.

Wednesday, October 4, 2017

Bitcoins, ICOs and Blockchain Tech Are Not a Fad! | James Altucher



Entrepreneur, investor and host of The James Altucher Show sat with Investor Town Hall while at the Crowd Invest Summit in the LA Convention Center discussing the hot topics of the year - Blockchain Technology and Cryptocurrencies.
James Altucher is an American hedge fund manager, entrepreneur, best-selling author, venture capitalist, and podcaster. He has founded or co-founded more than[clarification needed] 20 companies, including Reset Inc. and StockPickr, and says he failed at 17 of them. He has published eleven books, and he is a frequent contributor to publications, including The Financial Times, TheStreet.com, TechCrunch, Seeking Alpha, Thought Catalog, and The Huffington Post



Yann LeCun: Career Advice for Learners in Artificial Intelligence AI and...



Facebook AI Research & New York University yann.lecun.com Yann LeCun is Director of AI Research at Facebook and Silver Professor at New York University, affiliated with the Courant Institute, the Center for Neural Science and the Center for Data Science, for which he served as founding director until 2014. He received an EE Diploma from ESIEE (Paris) in 1983, a PhD in Computer Science from Université Pierre et Marie Curie (Paris) in 1987. After a postdoc at the University of Toronto, he joined AT&T Bell Laboratories. He became head of the Image Processing Research Department at AT&T Labs-Research in 1996, and joined NYU in 2003 after a short tenure at the NEC Research Institute. In late 2013, LeCun became Director of AI Research at Facebook, while remaining on the NYU Faculty part-time. He was visiting professor at Collège de France in 2016. His research interests include machine learning and artificial intelligence, with applications to computer vision, natural language understanding, robotics, and computational neuroscience. He is best known for his work in deep learning and the invention of the convolutional network method which is widely used for image, video and speech recognition. He is the recipient of the 2014 IEEE Neural Network Pioneer Award, the 2015 IEEE Pattern Analysis and Machine Intelligence Distinguished Researcher Award, the 2016 Lovie Award for Lifetime Achievement, and a honorary doctorate from IPN, Mexico.



Tony Seba: Disruption in Energy and Transportation with AI and Technologies


Stanford Instructor Tony Seba explained how major global industries such as energy and transportation will undergo a complete "disruption" by the year 2030 in an address to guests of the Pacific Council and the Korea Foundation in downtown Los Angeles on March 31, 2017.

Yann LeCun: A Path to Artificial Intelligence (AI) | Beneficial AI 2017



Yann LeCun gives an overview of AI and outlines a path toward more general and complete AI at the January 2017 Asilomar conference organized by the Future of Life Institute.

The Beneficial AI 2017 Conference:
They brought together an amazing group of AI researchers from academia and industry and thought leaders in economics, law, ethics, and philosophy for five days dedicated to beneficial AI. They hosted a two-day workshop for their grant recipients and followed that with a 2.5-day conference, in which people from various AI-related fields hashed out opportunities and challenges related to the future of AI and steps that we can take to ensure that the technology is beneficial for all of us!



Kevin Kelly: The Technium, The Superorganism of Technology



The technium is a superorganism of technology. It has its own force that it exerts. That force is part cultural (influenced by and influencing of humans), but it's also partly non-human, partly indigenous to the physics of technology itself.
Kevin Kelly is the founding executive editor of Wired magazine, and a former editor/publisher of the Whole Earth Review. He has also been a writer, photographer, conservationist, and student of Asian and digital culture.



Tuesday, October 3, 2017

Yann LeCun: Predictive Learning, The Next Frontier in A.I. |Nokia Bell Labs





Yann LeCun, director of Artificial Intelligence Research at Facebook and Silver Professor of Data Science, Computer Science, Neural Science, and Electrical Engineering at New York University and former Bell Labs researcher presented at the Shannon Luminary Lecture series. Building from the Claude Shannon Centennial Conference lectures this series is comprised of speakers who are luminaries in a wide diversity of fields and will share their perspective on the most important technologies, science, engineering, mathematics – and even more aesthetic matters – that will transform human existence in the next decades.

LeCun spoke about his research in his presentation "Predictive Learning: The Next Frontier in A.I.". His work in convolutional neural networks has revolutionized the fields of image analysis, speech recognition, and language translation. As a recognized visionary, LeCun's research promises to bring great advances in artificial intelligence and the augmentation of human ability.

Vitalik Buterin: The Boy Genius Behind the Ethereum Blockchain and Ether

Yann Lecun: How Facebook Apply Artificial Intelligence AI and Machine Learning

John McAfee: Pandora's box of Bitcoins and Blockchain has been opened

Google CEO: How machine learning & deep learning improved Google?

Yann LeCun: Where is AI Computer Vision Leading Us?