How smart can our machines make us? Tom Gruber, co-creator of Siri, wants to make “humanistic AI” that augments and collaborates with us instead of competing with (or replacing) us. He shares his vision for a future where AI helps us achieve superhuman performance in perception, creativity and cognitive function — from turbocharging our design skills to helping us remember everything we’ve ever read and the name of everyone we’ve ever met. “We are in the middle of a renaissance in AI,” Gruber says. “Every time a machine gets smarter, we get smarter.” (More)

Daniel Dewey is a research fellow in the Oxford Martin Programme on the Impacts of Future Technology at the Future of Humanity Institute, University of Oxford. His research includes paths and timelines to machine superintelligence, the possibility of intelligence explosion, and the strategic and technical challenges arising from these possibilities. Previously, Daniel worked as a software engineer at Google, did research at Intel Research Pittsburgh, and studied computer science and philosophy at Carnegie Mellon University. He is also a research associate at the Machine Intelligence Research Institute. (More)

Educator and entrepreneur Sebastian Thrun wants us to use AI to free humanity of repetitive work and unleash our creativity. In an inspiring, informative conversation with TED Curator Chris Anderson, Thrun discusses the progress of deep learning, why we shouldn’t fear runaway AI and how society will be better off if dull, tedious work is done with the help of machines. “Only one percent of interesting things have been invented yet,” Thrun says. “I believe all of us are insanely creative … [AI] will empower us to turn creativity into action.” (More)

Fabian’s TEDx Talk dived into the challenges and opportunities of a world in which intelligent machines and humans coexist together. Artificial intelligence is and will be integrated more into vital parts of human life. Not only human jobs will be replaced by machines. Artificial intelligence will also challenge human thinking, art and culture. What comes after is the concept of Superintelligence and Singularity. (More)

New tech spawns new anxieties, says scientist and philosopher Grady Booch, but we don’t need to be afraid an all-powerful, unfeeling AI. Booch allays our worst (sci-fi induced) fears about superintelligent computers by explaining how we’ll teach, not program, them to share our values. Rather than worry about an unlikely existential threat, he urges us to consider how artificial intelligence will enhance human life. (More)

After launching an internationally-recognized social media campaign, Noor is determined to achieve her dream of becoming the first hijabi anchor on commercial television in the United States. As she breaks down barriers, Noor Tagouri inspires others to do the same so that they can let their own light shine. (More)

The robots are coming. We (as in the people who attend TED talks and things) tend to think we will probably be fine. You know, knowledge folks and all. We might not be. What will be our coping mechanisms? What can we do to be OK? (More)

In the last five years, significant advances were made in the fields of computer vision, speech recognition, and language understanding. In this talk, Jeff Dean discusses why and how these advances have come about, what the implications are for areas as diverse as robotics, healthcare, human creativity and computer hardware design, and why these possibilities are so exciting. (More)

“The actual path of a raindrop as it goes down the valley is unpredictable, but the general direction is inevitable,” says digital visionary Kevin Kelly — and technology is much the same, driven by patterns that are surprising but inevitable. Over the next 20 years, he says, our penchant for making things smarter and smarter will have a profound impact on nearly everything we do. Kelly explores three trends in AI we need to understand in order to embrace it and steer its development. “The most popular AI product 20 years from now that everyone uses has not been invented yet,” Kelly says. “That means that you’re not late.” (More)

http://www.ted.com The news that Chinese artist Ai Weiwei has been detained by authorities has prompted significant concern here at TED-HQ. We had shown a film of him at last month’s conference, an unexpected and courageous statement about his treatment by the government, social change, the power of the web, and his hope for the future of China. The film, which was shown as Ai Weiwei himself watched live over the web in the middle of the night, prompted a huge standing ovation from the TED audience. (More)

Machine learning isn’t just for simple tasks like assessing credit risk and sorting mail anymore — today, it’s capable of far more complex applications, like grading essays and diagnosing diseases. With these advances comes an uneasy question: Will a robot do your job in the future? (More)

L’Ecole Dynamique est une micro-société démocratique où les enfants sont libres de faire leurs propres choix concernant leurs apprentissages et tous les autres domaines de la vie. Elle est ainsi libérée des programmes scolaires, des emplois du temps et des classes d’âges. La Sudbury-Valley School adopte cette approche depuis 1969 et connaît des résultats qui défient toute sagesse conventionnelle. Elle renoue au final avec la tradition socratique d’admettre notre ignorance de ce qu’est une bonne éducation pour la jeunesse, laisser l’enfant être qui il est, sans le juger, sans projeter sur lui celui que nous aimerions qu’il soit. Risible folie ou révolution copernicienne ? (More)

We’re on the edge of a new frontier in art and creativity — and it’s not human. Blaise Agüera y Arcas, principal scientist at Google, works with deep neural networks for machine perception and distributed learning. In this captivating demo, he shows how neural nets trained to recognize images can be run in reverse, to generate them. The results: spectacular, hallucinatory collages (and poems!) that defy categorization. “Perception and creativity are very intimately connected,” Agüera y Arcas says. “Any creature, any being that is able to do perceptual acts is also able to create.” (More)

Tanmay Bakshi wishes and works towards changing the lives of those who are living with disabilities; those who are living, yet NOT living as we are, and those who are NOT able to even communicate as we do. In his talk, Tanmay shares his passion of working in the field of Healthcare through Artificial Intelligence, a path very few have chosen. Twitter: @TajyMany LinkedIn: Tanmay Bakshi YouTube: tanmay bakshi Facebook: Tanmay Bakshi (More)

This talk was given at a local TEDx event, produced independently of the TED Conferences. In his talk, Andre will explain the current and future impacts of Artificial Intelligence on industry, science, and how it will benefit and accelerate human progress. (More)

We’re building an artificial intelligence-powered dystopia, one click at a time, says technosociologist Zeynep Tufecki. In an eye-opening talk, she details how the same algorithms companies like Facebook, Google and Amazon use to get you to click on ads are also used to organize your access to political and social information. And the machines aren’t even the real threat. What we need to understand is how the powerful might use AI to control us — and what we can do in response. (More)

Imagine a global “Hive Mind” that can tap the knowledge, wisdom, insights, and intuitions of millions of people, and produce a super-intelligence that is much smarter than any individual person. A new technology called Artificial Swarm Intelligence is making this possible and it could be our best defense against the emerging dangers of AI. Louis Rosenberg, PhD is a researcher, entrepreneur, and writer. He is currently Founder & CEO of Unanimous AI, an artificial intelligence company that amplifies human intelligence by building “hive minds” modeled after biological swarms. A prolific inventor, Rosenberg has been awarded over 350 patents worldwide for his work in Virtual Reality, Augmented Reality, and Human-Computer Interaction. Rosenberg was also the creator of the Virtual Fixtures system for the U.S. Air Force in the early 90’s, the first immersive Augmented Reality system. Prior to his current role at Unanimous AI, Rosenberg was founder and CEO of Immersion Corporation (NASDAQ: IMMR) and Outland Research, and has worked as a tenured professor at California State University (Cal Poly). This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx (More)

View full lesson: http://ed.ted.com/lessons/the-turing-test-can-a-computer-pass-for-a-human-alex-gendler (More)

When a very young child looks at a picture, she can identify simple elements: “cat,” “book,” “chair.” Now, computers are getting smart enough to do that too. What’s next? In a thrilling talk, computer vision expert Fei-Fei Li describes the state of the art — including the database of 15 million photos her team built to “teach” a computer to understand pictures — and the key insights yet to come. (More)

Watch the talks we loved in 2016 and discover the year’s most powerful ideas. To watch the full talks, check out the playlist: http://go.ted.com/2016 (More)

Salut a tous les amis ! On se retrouve aujourd’hui pour une nouvelle map nommé Burning Hotel with Ted ! (More)

What do you get when you give a design tool a digital nervous system? Computers that improve our ability to think and imagine, and robotic systems that come up with (and build) radical new designs for bridges, cars, drones and much more — all by themselves. Take a tour of the Augmented Age with futurist Maurice Conti and preview a time when robots and humans will work side-by-side to accomplish things neither could do alone. (More)

Maurice Conti, Director of Applied Research and Innovation, shares Autodesk’s perspective on how humans and robots will work together in the future. (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Mark Seifter (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Mark Seifter (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Mark Seifter (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

MIT 6.868J The Society of Mind, Fall 2011
View the complete course: http://ocw.mit.edu/6-868JF11
Instructor: Marvin Minsky (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Mark Seifter (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

* Please note: Lecture 20, which focuses on the AI business, is not available.
MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

MIT 6.034 Artificial Intelligence, Fall 2010
View the complete course: http://ocw.mit.edu/6-034F10
Instructor: Patrick Winston (More)

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