The fourth industrial revolution is upon us: machines infused with intelligence. This transformation will transform how manufacturing works today, making it 30% faster and 25% cheaper because a machine will know when it makes a mistake and will correct itself. He estimates that the next generation of industrialization could save the food industry alone $50 billion dollars a year. Markus Lorenz explores the many ways this manufacturing revolution will impact the economy, and what kinds of other jobs this new chapter will create.

TED@BCG was a TED-curated event featuring a diverse group of speakers from across the BCG community. Jointly produced by TED and BCG, the event put a spotlight on ideas, projects and insights that will contribute to the pursuit of growing ever onward and upward.

About the TED Institute: We know that innovative ideas and fresh approaches to challenging problems can be discovered inside visionary companies around the world. The TED Institute helps surface and share these insights. Every year, TED works with a group of select companies and foundations to identify internal ideators, inventors, connectors, and creators. Drawing on the same rigorous regimen that has prepared speakers for the TED main stage, TED Institute works closely with each partner, overseeing curation and providing intensive one-on-one talk development to sharpen and fine tune ideas.

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Intelligent technology in egg factory;
smart machines, automatic machinery egg processing, egg collecting and egg separating machines.
Intelligent Technology Egg Processing Machines ★ Smart Machines Egg Collecting Separating in Factory

Craig & company explore the consequences of machine intelligence and its implications for the future of humanity. Will machines take over the world? What’s the singularity? When will the singularity happen? Could the plot of the Terminator movies come true?

Special Thanks to:

Minsoo Kang
Howie Choset
Matthew Travers
Christopher Atkeson
Illah Nourbakhsh
and The Robotics Institute at Carnegie Mellon University

Robots Playlist:
A History of Robots – http://bit.ly/1JEh8CG
Innovative Robots That Will Make Our Lives Better – http://bit.ly/1JD2c9p
Are Machines Going to Take Over The World? – http://bit.ly/1KqAN9E
Are We Becoming Robots? – http://bit.ly/1e6mCKU

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Gordon E. Moore Portrait

Moore w/ Robert Noyce, By Intel Free Press [CC BY-SA 2.0 (http://creativecommons.org/licenses/by-sa/2.0)], via Wikimedia Commons

Quantum Leap, Belisarius Productions & Universal Television, 1989-93

CHiPS, MGM Television & Rosner Television 1977-83

Vernor Vinge portrait, http://commons.wikimedia.org/wiki/File:Vernor_Vinge.jpg

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Samuel Butler portrait, http://commons.wikimedia.org/wiki/File%3ASamuel_Butler_by_Charles_Gogin.jpg, By Charles Gogin [Public domain], via Wikimedia Commons

Jan Scheuermann Robotic Arm, http://www.upmc.com/media/media-kit/bci/Pages/default.aspx

Les Baugh, http://www.ibtimes.co.uk/colorado-man-les-baugh-no-arms-controls-two-prosthetics-just-his-mind-1480282

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kiloskar 5 Hp pumping Machine #Machine #Pumps #engine #machines Field marshal 5 HP New Generator Machines Starting without handle Testing. pumps machines

The show asks how will the AI revolution change the world? Part one features Jeremy Kahn, Bloomberg Tech Reporter, Mike McDonough Global Chief Economist at Bloomberg Intellligence and Gideon Mann, Head of Data Science at Bloombeg, Part Two features Martin Ford, Author of Rise of the Robots. Part Three features how AI could soon be changing healthcare.

Forward Thinking: March of the Machines – Episode 1
Stars: Dafydd Rees, Alastair Bates
Genres: Documentary | News

The future is uncertain and full of challenges. How do we rescue our cities and tackle inequalities? How do we deal with an aging future and bridging the gender gap? It’s time for some forward thinking.

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COPYRIGHT: All of the films published by us are legally licensed. We have acquired the rights (at least for specific territories) from the rightholders by contract. If you have questions please send an email to: info@amogo.de, Amogo Networx – The AVOD Channel Network, www.amogo-networx.com.

For nearly half a century, artificial intelligence always seemed as if it just beyond reach, rarely more, and rarely less, than two decades away. Between Watson, Deep Blue, and Siri, there can be little doubt that progress in AI has been immense, yet “strong AI” in some ways still seems elusive. In this talk, I will give a cognitive scientist’s perspective on AI. What have we learned, and what are we still struggling with? Is there anything that programmers of AI can still learn from studying the science of human cognition?

Machines are already very good at recognising human emotions when they have a static, frontal view of a person’s face. Maja Pantic, Professor of Affective and Behavioral Computing at Imperial College London, shares progress towards identifying people’s emotions “in the wild” and discusses possible applications, from marketing to medicine.

http://www.weforum.org/

Serious Science – http://serious-science.org
Philosopher David Edmonds on relationship between moral philosophy and robotics, artificial intelligence and ethics that we should build into machines
http://serious-science.org/ethics-of-machines-6856

How do different cultures value human life? To find out, researchers created a viral online experiment to gather data from millions of participants across the world. Some values generalised across cultures, but others came as a surprise. Find out more in this Nature Video.

Take part in the experiment here: http://moralmachine.mit.edu

Find the original research paper here: https://www.nature.com/articles/s41586-018-0637-6

*CORRECTION* The spelling of Massachusetts at 00:38 is incorrect. We regret the error.

What shall we do once machines become conscious? Do we need to grant them rights?

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Do Robots Deserve Rights? What if machines become conscious?

Astronomers shared stories through the ages, enabling them to contradict and learn from each other. They broke stories apart and put them together in better ways—readjusting and reconsidering beliefs—to present new ideas that are more compelling and more accurate. Machines can do that too. “When we build stories into machine intelligence systems, we should enable them to attach probabilities to their stories” says Ben Vigoda.

Ben Vigoda is Founder, CEO/CTO of Gamalon Machine Intelligence. Before founding Gamalon, Ben was technical co-founder and CEO of Lyric Semiconductor, a startup that created the first integrated circuits and processor architectures for statistical machine learning and signal processing. He currently serves on the DARPA Information Science and Technology (ISAT) steering committee. Ben also co-founded Design That Matters, a not-for-profit that for the past decade has helped solve engineering and design problems in under-served communities and has saved thousands of infant lives by developing low-cost, easy-to-use medical technology such as infant incubators, UV therapy, pulse oximeters, and IV drip systems that have been fielded in 20 countries. Ben completed his PhD at MIT developing circuits for implementing machine learning algorithms natively in hardware.

This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx

As technology has increasingly brought computing off of the laptop and into our social domain, we see society more and more impacted by the interactions allowed by mobile technologies and increasingly ubiquitous communications. These new sources of data, coupled with new breakthroughs in computation, and especially AI, are opening new vistas for ways that information comes into our world, and how what we do increasingly impacts others. Current social networking sites will be, to the coming generation of social machines, what the early “entertainment” web was to the read/write capabilities once called “Web 2.0.” In this talk, we explore some of these trends and some of the promises and challenges of these emerging technologies.

James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He also serves as a Director of the UK’s charitable Web Science Trust. Hendler is coauthor of the recently published “Social Machines: The coming collision of Artificial Intelligence, Social Networking and Humanity” (APress, 2016) and the earlier “Semantic Web for the Working Ontologist” (Elsevier, 2009/2011), “Web Science: Understanding the Emergence of Macro-Level features o the World Wide Web” (Now Press, 2013), and “A Framework for Web Science” (Now Press, 2006). He has also authored over 300 technical papers and articles in the areas of Semantic Web, artificial intelligence, agent-based computing and high performance processing.

One of the originators of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, the IEEE and the AAAS. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is also the first computer scientist to serve on the Board of Reviewing editors for Science. In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2012, he was one of the inaugural recipients of the Strata Conference “Big Data” awards for his work on large-scale open government data, and he is a columnist and associate editor of the Big Data journal. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, Hendler became a member of the National Academies Board on Research Data and Information.

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The reason we entertain thought experiments such as reincarnation and an afterlife is because we’re sentient beings. These concepts are innate to our experiences as conscious human beings. The ACT test probes A.I. to examines whether it can grasp these questions — i.e., the mind existing separately from the body, or the system without the computer. If so, then there’s reason to believe it’s a conscious being. For machines to develop consciousness, they will need to have the right architectural features. For instance, for humans we possess a working memory, attention, and brain stems — all of which serve as the neural basis of our conscious experience. If there is a machine analog to these things, then it may suggest that the machines are conscious as well.

———————————————————————————-

SUSAN SCHNEIDER

Susan Schneider is the NASA/Baruch Blumberg Chair at the Library of Congress and NASA, as well as the director of the AI, Mind and Society Group at the University of Connecticut. Her work has been featured by the New York Times, Scientific American, Smithsonian, Fox TV, History Channel, and more. Her two-year NASA project explored superintelligent AI. Previously, she was at the Institute for Advanced Study in Princeton devising tests for AI consciousness. Her books include The Language of Thought, The Blackwell Companion to Consciousness, and Science Fiction and Philosophy.

———————————————————————————-

TRANSCRIPT:

SUSAN SCHNEIDER: So the ACT test actually looks at the AI to see if it has the felt quality of experience. So we’ve noted that consciousness is that inner feel. So it actually probes the AI by asking questions that are designed to determine whether it feels like something to be the AI.

And I actually published the questions in my book, some of the questions. And they’re questions that are actually philosophical in nature in some cases, or even that are inspired by religious traditions. So one example is you would ask the machine about whether it understands the idea of reincarnation. So even if you don’t agree with reincarnation, you can vaguely understand the idea of your mind returning.

Similarly, you can understand the idea portrayed in the film Freaky Friday of swapping a body with somebody else. You can also understand the idea of the afterlife. Even if you disagree with these ideas, and you think that they’re ultimately not well founded, the point here is that the reason that we can think of these things at all, the reason we can entertain these thought experiments is that we’re sentient beings. It would be very difficult to understand what these thought experiments were getting at if we weren’t conscious beings.

Similarly, think of a machine that is at the R&D stage. So it hasn’t been spoon fed any information about human consciousness whatsoever. If at that point, we detect that it grasps these questions, it understands the idea of the mind existing separately from the body or the system or the computer, then there’s reason to believe that it’s a conscious being. Now this being said, the ACT test only applies in very circumscribed cases.

So first off, you can’t pre-program answers into the machine. So it would be inappropriate to run the test on a system like, say, Hanson Robotic’s Sofia, which has stock answers that she goes through when she’s on TV shows. I’ve done TV shows with Sophia. I’ve noticed that she uses the same answers. They’re programmed in. So that wouldn’t do. Also, you can’t have a deep learning system that has been spoon fed data about how to go about answering these sorts of questions. Also, the system has to have linguistic capacities. It has to have the ability to answer the questions.

Another test for machine consciousness is the chip test. The chip test actually involves humans.

So imagine a situation where you have an opportunity to upgrade your mind, so you put a microchip in your head. Now suppose you are about to replace part of the brain that underlies conscious experience. If you did this, and you didn’t feel any different, and if you checked carefully by neuroscientists and there were no changes in the felt quality of your mental life, if you didn’t turn into one of those cases that Oliver Sacks talks about, for example, in his books with strange deficits of consciousness, then we have reason to believe that microchips might be the right stuff for consciousness.

On the other hand, suppose the chips don’t work. So you go back year a…

For the full transcript, check out https://bigthink.com/videos/susan-schneider-artificial-intelligence

Are machines getting smarter than us? With greater computational power and ever more sophisticated artificial intelligence comes a whole new way of understanding the world. Now that our machines are capable of analysing data from so many different sources, taking into consideration countless variables and possibilities, it is becoming increasingly difficult for humans to understand how they come to their conclusions. How will we cope when machines understand the world better than us, and make better decisions than we can?
We’ve always been engaged in the pursuit of knowledge, believing that studying the world will lead to us a better understanding of how it works, so will we be happy to not ‘know’? This signifies a change in our basic model of the future, representing a shift away from simple cause-and-effect models to larger, more complex models.
As the guest in this Live Show puts it, “The world didn’t happen to be designed, by God or by coincidence, to be knowable by human brains. The nature of the world is closer to the way our network of computers and sensors represent it than how the human mind perceives it.” Join us to hear more from David Weinberger about how the nature of knowledge has shifted, and what we should do about it.

Extreme Modern Wood Cutting Machines Intelligent Equipment Factory Processing Huge Wood

Speaker: JOSHUA GANS, Jeffrey S. Skoll Chair in Technological Innovation & Entrepreneurship, Rotman School of Management; Author
Topic: “Prediction Machines: The Simple Economics of Artificial Intelligence” (HBR Press, 2018 co-written by A. Agrawal, J, Gans, A. Goldfarb)
20th Annual Rotman Lifelong Learning Conference
June 1, 2018

Located in downtown Toronto and part of the University of Toronto, the Rotman School of Management (http://www.rotman.utoronto.ca) is the top business school in Canada.

Rotman offers a Full-Time MBA program, and several programs for working professionals, including the Morning and Evening MBA, Master of Finance, One-Year Executive MBA and Omnium Global Executive MBA. Whichever degree or program you choose, Rotman will give an edge in your career and help you make the most of your potential.

#Rotman #RotmanSchool

Main video: https://www.youtube.com/watch?v=R9OHn5ZF4Uo

MarIO: https://www.youtube.com/watch?v=qv6UVOQ0F44

Genetic programming: https://www.youtube.com/watch?v=GOFws_hhZs8&list=PLrUdxfaFpuuK0rj55Rhc187Tn9vvxck7t

How neural networks really work with the real linear algebra: https://www.youtube.com/watch?v=aircAruvnKk

In today’s video, I want to show you the most intelligent agriculture machines part 2

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-WEREN GRASZODEN:
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Facebook: https://www.facebook.com/Werengraszoden/

-AGROBOT:
web: http://agrobot.com/

-HORSCH MAESTRO SW:
web: https://www.horsch.com/
Facebook: https://www.facebook.com/HorschMaschinen
instagram: https://www.instagram.com/horsch.maschinen/
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https://speakersconnection.com/ – Will Artificial Intelligence destroy the human race? Keynote Speaker Inma Martinez separates the fact from fiction at TEDx Ghent.

ABOUT KEYNOTE SPEAKER INMA MARTINEZ

One of the original “Children of the Internet,” Inma Martinez has been at the forefront of the digital and mobile revolution since the early 2000s. Fortune and TIME have described her as one of Europe’s top talents in social engagement through technology, Red Herring ranked her among the “top 40 women in technology”and FastCompany labelled her a “Firestarter.” Inma was listed at #1 among “The Top 10 Women Changing The Landscape Of Data In 2018” by Enterprise Management 360 and one of the top “50 A.I. Influencers To Follow On Twitter” by Cognilytica, an A.I. and Cognitive Sciences Research agency.

Inma is one of Europe’s most sought-out advisors on technological trends, product innovation strategy, and thriving in an environment driven by empowered consumers. An inspirational keynote speaker, she delivers on the effects of A.I. and Automation, Man-Machine Collaborations and the accelerated digitalisation of life, work and play. An industry recognised Artificial Intelligence and digital visionary that pioneered 1:1 personalisation in the early days of the mobile Internet, Inma has been credited to be part of the original development teams behind Wireless Access Protocol (WAP), mobile music and video streaming, wearable technologies, “widgets” – the precursors to mobile apps, and the “connected car” and smart cities development.

Both governments and private corporations seek her advisory on how to address the digital challenges. Inma is currently an advisor to the board at the All Parliamentary Party Group on A.I. at the House of Lords, and has provided evidence at the EU Commission on A.I. and the misuse of citizen data in light of new GDPR policies. In parallel, she continues to commit her time to education at Imperial College London where she is a guest lecturer at the MSc Management program, the MSc in Economics and the MSc Innovation, Entrepreneurship and Strategy, and to the mentorship of innovative technologies at Deep Science Ventures, a venture-focused science institute where audacious entrepreneurial scientists explore solutions to world’s challenges.

To hire Inma Martinez at your next conference or event, contact us:
https://speakersconnection.com/contact/

ABOUT SPEAKERS CONNECTION

At Speakers Connection we connect people to people. People who want to experience new things, share ideas, and value the importance of the human connection.

We manage a curated group of speakers. Our goal is to create opportunities that allow our speakers to connect with event professionals and showcase their talents to audiences worldwide. We provide strategies, insights and direction that allow the speaker to develop new marketing channels.

Our longevity in the industry allows us to cultivate strong relationships with corporations, associations, event management companies, global special interest groups, production companies, speakers’ bureaus, educational institutions, and philanthropic organizations resulting in exceptional opportunities for our speakers.

To learn more about Speakers Connection please visit:
https://speakersconnection.com/

Keynote by Suchi Saria

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While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making.

In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines.

The webinar will explain:

What augmented intelligence is and how it can benefit business decision makers
What do business leaders need to understand about AI and machine learning to avoid traps
What are the risks in terms of ethics, compliance, and governance
Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies
Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. She is a board member of member of Boston University’s Alumni Council and the College of Arts & Sciences Dean’s Advisory board.

While Artificial Intelligence has been around for decades we are witnessing a new generation of solutions. Augmented intelligence represents the most significant commercialization of AI/ML for business. Augmented intelligence is an approach that uses tools from artificial intelligence to perform well-defined tasks that support business decision- making.

In this webinar, Judith Hurwitz, president of Hurwitz & Associates and the co-author of the forthcoming book, Augmented Intelligence will discuss the importance of augmented intelligence as the technique to provide for collaboration between humans and machines.

The webinar will explain:

What augmented intelligence is and how it can benefit business decision makers
What do business leaders need to understand about AI and machine learning to avoid traps
What are the risks in terms of ethics, compliance, and governance
Judith Hurwitz, President & CEO, Hurwitz & Associates, a research and consulting firm focused on the business value of emerging technologies
Judith S. Hurwitz, President and CEO of Hurwitz & Associates, Inc., a firm focused on emerging technology in enterprise computing including Artificial Intelligence, machine learning, big data, cloud computing, and security. She is a technology strategist, thought leader, speaker, and author. A pioneer in anticipating technology innovation and adoption, she has served as a trusted advisor to many industry leaders over the years. She is the co-author of 10 books including Augmented Intelligence (Taylor & Francis Group, 2019), Cognitive Computing and Big Data Analytics (Wiley, 2015), and Cloud Computing for Dummies (Wiley, 2020). Judith holds a BS and MS degrees from Boston University. She is a board member of member of Boston University’s Alumni Council and the College of Arts & Sciences Dean’s Advisory board.

Intelligent Technology Mega Machines Wood Tractor and Timber Truck Tree Transportation, Modern devices and accessories for sawing wood. Unusual Woodwork Chainsaw Saw Log Splitter Lathe CNC Sawmill Equipment etc.

Intelligent Technology Mega Machines Wood Tractor Timber Truck Tree Transportation Woodwork Chainsaw Sawmill Heavy Equipment

Современная вырубка и транспортировка леса, брёвен. Лесные трактора с автоматическими пилами, перевозка стволов деревьев на грузовиках, бензопилы, электропилы, современные мощные мега машины и многое другое. Смотрим!
Подборка разнообразных устройств и приспособлений для распиливания дерева. Крутые идеи для хозяйственных людей. Современная автоматическая обработка дерева.

Primitiva Tecnología vs Mega Máquinas. Lo que hace la vida más fácil Aserradero. Inusual Madera De

Qué milagros pueden ser tallados de madera en un torno? Imposible salir! Compilación de una variedad de dispositivos y accesorios para el corte de madera. Buenas ideas para.

Intelligent Technology Mega Machines Unusual Woodwork Saw Log Splitter Lathe CNC Sawmill Equipment. What makes life easier – Sawmill
Compilation of a variety of devices and accessories for sawing wood. Cool ideas for household people. Automatic Wood Splitter, Log Splitter, Saw, Sawmill, CNC etc.

То, что делает жизнь легче – Пилорама, Дровокол, Пила.
Подборка разнообразных устройств и приспособлений для распиливания дерева. Крутые идеи для хозяйственных людей. Современная автоматическая обработка дерева.
Какие чудеса можно выточить на токарном станке из дерева? Невозможно оторваться!

Primitiva Tecnología vs Mega Máquinas. Lo que hace la vida más fácil Aserradero. Inusual Madera De

Qué milagros pueden ser tallados de madera en un torno? Imposible salir! Compilación de una variedad de dispositivos y accesorios para el corte de madera. Buenas ideas para.

Dr. Joscha Bach is VP of Research at AI Foundation and Author of Principles of Synthetic Intelligence, focused on how our minds work, and how to build machines that can perceive, think, and learn.

http://bach.ai

Twitter ► https://twitter.com/Plinz
LinkedIn ► https://linkedin.com/in/joschabach

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How are we supposed to think about Machine Learning? How are businesses going to change? This week I interview Joshua Gans, Professor of Strategic Management at the Rotman School of Business at the University of Toronto and the Chief Economist at the University’s Creative Destruction Lab. Joshua is the co-author, along with Ajay Agarwal and Avi Goldfarb, of Prediction Machines: The Simple Economics of Artificial Intelligence.

Pamela McCorduck is an author who has written on the history and philosophical significance of artificial intelligence, the future of engineering, and the role of women and technology. Her books include Machines Who Think in 1979, The Fifth Generation in 1983 with Ed Feigenbaum who is considered to be the father of expert systems, the Edge of Chaos, The Futures of Women, and more. Through her literary work, she has spent a lot of time with the seminal figures of artificial intelligence, includes the founding fathers of AI from the 1956 Dartmouth summer workshop where the field was launched. This conversation is part of the Artificial Intelligence podcast.

INFO:
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Machine Who Think book: https://amzn.to/2ZoyWgs
Edge of Chaos book: https://amzn.to/2ZeYXni
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OUTLINE:
0:00 – Introduction
1:51 – Machines Who Think
4:17 – Founding fathers of AI
6:45 – Early days and the possibilities of AI
14:23 – Roots of how we think about AI
18:59 – McCarthy and Frankenstein
23:30 – AI in the context of broader CS community
29:46 – AI winter
37:09 – Santa Fe Institute and complexity
44:58 – Timeline of AI
46:51 – AI assistants and personal robotics
52:05 – Existential threats and the male gaze

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Joshua Gans, Author & Professor of Strategic Management

Artificial intelligence does the seemingly impossible, magically bringing machines to life – driving cars, trading stocks, and even teaching children. But facing the sea change that AI 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 today?

We must face our fears if we want to get the most out of technology — and we must conquer those fears if we want to get the best out of humanity, says Garry Kasparov. One of the greatest chess players in history, Kasparov lost a memorable match to IBM supercomputer Deep Blue in 1997. Now he shares his vision for a future where intelligent machines help us turn our grandest dreams into reality.

The TED Talks channel features the best talks and performances from the TED Conference, where the world’s leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design — plus science, business, global issues, the arts and more.

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AI pioneer and co-founder and chief scientist of Artificial Intelligence startup NNAISENSE Jurgen Schmidhuber recently stated that while machines will eventually be smarter than humans, there is no reason why the emerging technology should be feared.

Jurgen Schmidhuber has been involved in the AI field since the 1970s. In 1997, Schmidhuber helped publish a study on Long Short Term Memory, one of the concepts that ultimately became the roots of AI memory functions. Speaking during the Global Machine Intelligence Summit (GMIS) last year, the AI pioneer stated that he had big dreams for the technology since he first began studying the field. According to Schmidhuber, he wanted to build machines that can teach themselves.

The AI pioneer carried over his vision for advanced AI well into the present day. In a recent statement to CNBC News, Schmidhuber noted that eventually, machines will likely surpass humans in terms of intelligence.

“I’ve been working on AI for several decades, since the eighties basically, and I still believe it will be possible to witness that AIs are going to be much smarter than myself, such that I can retire,” he said.

Unlike other tech leaders such as Elon Musk and the late Stephen Hawking, Schmidhuber has adopted a more optimistic outlook on AI. Musk, for one, has frequently mentioned the dangers of hyper-intelligent computer systems, to the point of stating that AI could be more dangerous than nuclear warheads.

Schmidhuber, however, disagrees, stating that once AI surpasses humans’ intelligence, machines would likely just lose interest. The AI pioneer added that he and Musk had already spoken about the matter.

“I’ve talked to him for hours, and I’ve tried to allay his fears on that, pointing out that even once AIs are smarter than we are, at some point they are just going to lose interest in humans,” he said.

Schmidhuber believes that there are still concerns about the emergence of hyper-advanced computer systems, however. According to the AI pioneer, the real dangers of artificial intelligence lie not on machines, but on people themselves.

“If there are any concerns, it’s that humans should be worried about beings that are similar to yourself and share goals. Cooperation could result, or it could go to an extreme form of competition, which would be war,” he said.

Nevertheless, considering the pace and direction of AI research today, Schmidhuber remains optimistic. While the pioneer admitted that a portion of AI research is dedicated to making intelligent weapons, the vast majority of studies in the artificial intelligence field is geared towards helping people.

“About 95 percent of all AI research is about enhancing the human life by making humans live longer, healthier and happier,” he said.

In a lot of ways, Schmidhuber’s statements about human-friendly AI research and AI-based weapons rings true. While the Pentagon and countries like South Korea are exploring the concept of weaponized AI, several initiatives, i

A look at the book Prediction Machines

Most people think of artificial intelligence as a magical creation of infinite, all-knowing, omnipotent intelligence. A kind of intelligence that will transform the world in ways we could never imagine.

While this may seem like an interesting concept, the truth is that it is far from reality.

If you’re planning 30 years down the line maybe you should take such an explanation more seriously, but if we’re looking at modern day & for the foreseeable future, we should stop labeling PREDICTION MACHINES as artificial intelligence. In this moment in time, they are nothing more.

The contrarian way of labeling “artificial intelligence” because you know that prediction machines are nothing more than tools, used to assist in your judgements. If you’d like to see more content you can follow us through our social media links listed below.

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Artificial intelligence is turning into the next industrial revolution, poised to transform business, the global economy and how people work and interact with each other.

This has unleashed a debate whether the arrival of human-level AI signals the dawn of paradise, or the sunset of the human race. Will the development of full artificial intelligence enhance our lives, as the technologist Ray Kurzweil argues, or is it “our biggest existential threat,” in the words of Tesla founder Elon Musk, which “could spell the end of the human race,” as astrophysicist Stephen Hawking warns? Will it bring on a new age of human enlightenment, or will it do great harm to society—putting people out of work, adding to inequality and removing warfare from human control, even posing an existential risk to the long-term future of Homo sapiens, replacing humans altogether as a new form of life that outperforms humans?

Please join Rabbi Jacobson as he weighs in on this debate and explains how it actually reflects our perspective on the very nature and definition of the human being. The role of AI in our lives compels us to ask some very difficult and challenging questions. Are we machines, which can be replaced by better machines? Or are we more than sophisticated robots? Are our sublime and sensual faculties — like love, soul, imagination, spontaneity and transcendence — uniquely human, or can we program an android with these qualities? Discover that the real power of AI is not its technology, but its capacity to reveal new dimensions in the human spirit. And in so doing, will profoundly shape the fate and destiny of humanity.

“If you see yourself as a machine, then a better machine can replace you. If you see yourself as a soul nothing can replace you.” — Rabbi Simon Jacobson

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