Niels Taatgen sheds light on both human and computer learning. Throughout his Talk, Niels Taatgen will show that there are fundamental differences between human and current machine intelligence, and will discuss how a different approach to machine intelligence can bridge the gap.

Niels Taatgen investigates human behavior using computer simulations in order to understand our behavior in certain situations, for example when multitasking. He studied Computer Sciences and Psychology at the University of Groningen and gained his PhD in 1999 with a thesis titled “Learning without limits”. He subsequently became a lecturer in the department of Cognitive Sciences, later known as Artificial Intelligence, at the University of Groningen. After a period in which he worked for both the Carnegie Mellon University in Pittsburgh (US) and the University of Groningen, he became a professor in Cognitive Modelling at the University of Groningen. He is currently the mastermind of the degree programme Artificial Intelligence.

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

Elon Musk: Computers are much smarter than humans on so many dimensions.

Jack Ma: Computers may be clever, but human beings are much smarter. We invented the computer—I’ve never seen a computer invent a human being.

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TicToc by Bloomberg is global news for the life you lead. We are a 24/7 news network that covers breaking news, politics, technology, business and entertainment stories from around the globe, supported by a network of Bloomberg’s 2,700 journalists across 120 countries.

In recent years both research institutions and tech companies have made major advances in the ability of computers to read human emotion – even complex ones that are hard for humans to understand. A company called Emotient hopes to bring this understanding to wide variety of products and has built a Google Glass App

Nuance Communications (the company behind Dragon Dictation software) wants to make your voice assistants emotionally-aware.

An app called Moodies says it can interpret emotion in your voice.

A company called Affectiva has built a system for reading emotion while you watch ads, which you can try for yourself here.


As we become ever more reliant on cellular phones and devices to aid in our everyday tasks; rapid development into new technologies and Artificial Intelligence is underway at an alarming rate. EXCLUSIVE FREE FULL EPISODE! Follow this link to watch over 8000 Original Shows, Films and Documentaries.

Modern devices are now specifically designed to interact with us in ways that mimic a real human being. Applications such as “siri” and “google-cast” are providing the user with a human-like interaction experience. These companies are Creating Artificially intelligent machines. Machines exhibiting cognitive behaviour, with human-like intelligence.

In this Documentary we explore the race to perfect AI machinery – researchers believe that very soon a “singularity” will be created. A machine that rises beyond human control. Something uncontrollable and irreversible, resulting in catastrophic changes to human civilization.

Could it be possible that humanity will soon arrive at a moment in history when artificial intelligence outsmarts human beings? Are Hollywood movies like “the Terminator”, “i-Robot” and “space odyssey 2001” an unintentional warning that this senario could happen within our not so distant future?…

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.”

Fei-Fei Li, Stanford Artificial Intelligence Lab, Vision Lab

It takes nature and evolution more than five hundred million years to develop a powerful visual system in humans. The journey for AI and computer vision is about fifty years. In this talk, I will briefly discuss the key ideas and the cutting edge advances in the quest for visual intelligences in computers. I will particularly focus on the latest work developed in my lab for both image and video understanding, powered by big data and the deep learning (a.k.a. neural network) architecture.

Fei-Fei Li, Chief Scientist, AI/ML, Google Cloud, Professor of Computer Science, Stanford University
Director, Artificial Intelligence Lab

What happens when we teach a computer how to learn? Technologist Jeremy Howard shares some surprising new developments in the fast-moving field of deep learning, a technique that can give computers the ability to learn Chinese, or to recognize objects in photos, or to help think through a medical diagnosis. (One deep learning tool, after watching hours of YouTube, taught itself the concept of “cats.”) Get caught up on a field that will change the way the computers around you behave … sooner than you probably think.

TEDTalks is a daily video podcast of 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 much more.
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Natural language processing allows computers to understand human language. It has plenty of applications. For example:
Text summarization, translation, keyword generation, sentiment analysis or chat bots.

So how it works? Let’s take a closer look at it.

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Stanford professor, Fei-Fei Li, discusses her work teaching computers to “see” images and to understand them as humans do in her eDay 2012 presentation “Computers that See” at Stanford Engineering.

We have security cameras everywhere, but they still can’t alert us when a child is drowning, says Fei-Fei Li, associate professor of computer science at Stanford. While humans have used vision to make better sense of the world for millions of years, our machines and computers are still in the dark ages. At “The Future of Artificial Intelligence” partner event of the 2016 Global Entrepreneurship Summit, she explains that the daunting task ahead of us is to develop artificial intelligence algorithms to allow our computers to make smarter use of content in images and videos.

Welcome to scienceverse,
In computer science, artificial intelligence, sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans and animals.

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Longtime Humanist Community member, and Board member, Marc Perkel will discuss his following beliefs and questions: If humanity ever invents Artificial Intelligence that is smarter than we are, it will be the last thing we’ll ever invent. That’s because the AI will do the inventing far faster than we ever could. This raises a lot of philosophical questions. When will AI be smarter than us? Sooner than you think!

What will it be like to not be the smartest species on the planet? Will the robots kill us off? What values will we teach AI to get it started? Why should humanity continue to exist once we create a superior species. Will we be able to pull the plug on it – or will it be able to pull the plug on us? Is Humanism limited to just humans? Do we need Religion for Robots? Shouldn’t we answer these questions BEFORE we create the AI?

This is my opinion about a chat of technology.

Joseph works on the YOLO algorithm, a real-time algorithm for detecting and identifying objects in images. It’s technology that can be used in self-driving vehicles, cancer screening, robotics, or any other visual task. But when the military gets interested in using computer vision for drone warfare Joe starts to question the ethics of research that reinforces harmful structures of power.
Joseph is a computer vision researcher and graduate student at the University of Washington. When not hacking on GPU clusters he enjoys hanging out in the Programming Languages lab learning type theory, posting random musings on arXiv, and watching the hit CW teen drama Reign with his housemates. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Your worst fears have finally come to the forefront of technology. According to, researchers at Northwestern University have invented a new example of computer intelligence said to be compatible and able to out perform 75% of American Adults on a standard IQ test. Artificial Intelligence has continued to make leaps and bounds over the years in the age of cars that drive themselves and computer games that can beat humans at chess, and while the new findings don’t just highlight a computers ability to out perform humans on test, the research seeks to understand how humans vs computers work to solve problems at the most basic levels.

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The singularity has been upon us since the 19th Century (Feat. Brendan Bradley & The Defective Geeks).
Help us continue the steampunk fun at

I know this is rather old, but I feel it was very important to cover this on this channel. This is a 19 minute lecture altogether, and I put two of the most important parts of it to reveal how he admits that quantum computers are directly or indirectly responsible for the Mandela Effect, without actually saying it out right. I would encourage anyone who hasn’t seen this in its entirety to go and listen to this. It’s called ” Geordie Rose – Quantum Computing: Artificial Intelligence Is Here” I need to also add that CERN is very much involved as well, as they are the muscle and D-Wave quantum computers are the brains. They have at least 3 of these quantum computers at their location in Switzerland. There are also many more hadron colliders located in various places around the world.

I also find it very interesting that he makes reference to a teddy bear, and tells a story about his child. I find this very interesting considering that the Bernstein Bears was one of the first things to change, and was a major meme around the Internet in early 2016. The original was Bernstein Bears. It was changed to Berenstein bears then to Berenstain. Why they went through 3 stages I have no idea.

Language. Easy for humans to understand (most of the time), but not so easy for computers. This is a short film about speech recognition, language understanding, neural nets, and using our voices to communicate with the technology around us.

What happens when our computers get smarter than we are? | Nick Bostrom
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‘In the end’ is a long time period; it’s a very long time period. Who knows, by then? And you know, these guys who claim that we’ll see the singularity by 2030… Dude, I don’t believe that at all, by any means, shape or form. Will we see smart machines being able to do smarter things with data? Sure. I think there are all kinds of great opportunities there. But in terms of over the next 100 years, are machines going to be smarter than humans just because some IBM computer can beat humans at – I don’t even know – Jeopardy? Nah. I don’t find that that’s interesting, actually. I think doing smart things with data, doing a lot of analysis and so on… But you know, these are very limited sort of things. Even if you take something that is starting to get people excited using Siri on your iPhone – it feels pretty amazing first. When I tell Siri to book a table at Harvest on Friday at noon, when I can do that, I go like “Wow, that’s pretty cool.” But computers outsmarting humans? No, not for a long time.

Are humans really at risk from artificial intelligence? Will there be a rise of the machines, and if so, is that a good thing? UNSW’s Professor Toby Walsh, an expert in AI and one of Australia’s rock stars of the digital revolution, dispels some myths about AI and tells us what we should really be worried about. From UNSW’s UNSOMNIA event.

For more factual videos like this subscribe. We’re the official channel of UNSW Sydney, a brilliantly located university between the coast and the city.

Ten years ago, researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible. Today, computer vision systems do it with greater than 99 percent accuracy. How? Joseph Redmon works on the YOLO (You Only Look Once) system, an open-source method of object detection that can identify objects in images and video — from zebras to stop signs — with lightning-quick speed. In a remarkable live demo, Redmon shows off this important step forward for applications like self-driving cars, robotics and even cancer detection.

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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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Subscribe to our channel: 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).

Advancements in artificial intelligence are changing how we analyze and process information. But these advances fall short when compared with the ingenuity and creativity of an average three-year old. In his talk, psychologist and neuroscientist Gary Marcus compares advancements in AI to the resilience of the human brain on tasks such as common sense and real-time evaluations.

“Gary F. Marcus wants to build a human mind from scratch. His research at New York University combines psychology, linguistics, and molecular biology to map the inner workings of the brain and deconstruct common sense scientifically.
“No modern machine can match the ingenuity of any three-year-old,” Marcus said. “A deep understanding of the human mind will radically transform society.”
In addition to teaching, Marcus is a best-selling author and founder of the company Geometric Intelligence, which is redefining the boundaries of machine learning. By applying a deep understanding of the human mind to artificial intelligence, Marcus hopes to revolutionize the capabilities of modern technology and radically transform society.”

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

Nell Watson

Nell Watson FBCS, FICS FIAP, FRSA, FLS, FRSS, CITP is an engineer, educator, and tech philosopher who grew up in Northern Ireland.\
Nell founded Poikos (now QuantaCorp). This original, patented technology enables fast and simple 3D body measurement from only two planes (front and side), using a simple cellphone camera, by applying sophisticated deep learning technologies.This service enables fast and accurate personalization services in telemedicine, mass customization, and retail.\
Today, Nell educates others in how to implement such technologies, for example, by creating video coursebooks for O’Reilly.

To hire this speaker to speak at your next event, contact BigSpeak Speakers Bureau (805) 965-1400

Recent experiments in Optoelectronic reservoir computing show that computation can be performed within everyday physical media. This suggests intriguing possibilities with regards to the future of programmable matter and ubiquitous computing. It also raises the question of whether such computational phenomena may be found within nature, contributing to the seemingly-intelligent responses of plants, for example, or assisting the manifestation of certain complex biochemical processes.
Nell Watson has a longstanding interest in the philosophy of technology, and how extensions of human capacity drive emerging social trends. Watson lectures globally on a broad spectrum of AI-related topics. In 2010, Nell founded Poikos, a machine learning-driven AI for body measurement. She is also Co-Founder of This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at

Discovery, research and coverage of the Simulated Reality errors AKA Mandela Effect.

D-Wave Geordie Rose Speech:

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