Artificial Intelligence is rapidly taking over the world as Elon Musk puts it “The amount on intelligence in the world that is not human intelligence is increasing”. These video explores the history A.I. and computing milestones, the danger this technology poses and more importantly how we can exist with AI in harmony going into the future. Originally in the 17th-century the word computer referred to an occupation, in which people would perform mathematical calculations before digital computers were even invented The first substantial computer was the giant ENIAC machine at the University of Pennsylvania, ENIAC stood for (Electrical Numerical Integrator and Calculator). It was a giant computer the size of a room that could handle various calculations and was generally understood to also be programmable. The 1960s saw large mainframe computers become much more common in large industries and also in the US military and space program. IBM became the unquestioned market leader in selling these large machines. A veritable explosion of personal computers occurred in the early 1970s, starting with Steve Jobs and Steve Wozniak showcasing the first Apple II at the First West Coast Computer Faire in San Francisco. From than computers would continue to take over the world, getting smaller and more sophisticated with the introduction of laptops, phones and then the most iconic of moments being the introduction of the very first iPhone in 2007. 1920 – the first use of the word Robot in the English language in a science-fiction play by Czech writer Karel [More]
D’Wave is the first to be commercially available in the race to Quantum Supremacy, but who else is a contender? Quantum Computing is a force to be reckoned with, particularly if/when an A.I. were to take the steering wheel…. In this video, I tried to put together helpful info that clarifies how quantum computing works, and points out the fatal flaws in D-Wave Systems, which need gigantic freezers to even work at all. Let me know if I was unclear on any points–I’m happy to answer questions asked by polite folks who, like me, are seeking answers to what is happening around us. Here are links to the videos featured in this presentation: D Wave NASA Google Quantum A.I. Lab: https://www.youtube.com/watch?v=CMdHDHEuOUE D Wave CEO Vern Brownell talks to Big Think: https://www.youtube.com/watch?v=Mq-mRNaV-sc THANKS FOR WATCHING!! Feel free to LIKE, COMMENT, SUBSCRIBE & SHARE!! MUCH LOVE TO YOU!!
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Gary Marcus dispels some current notions about AI advancements and suggests ways to improve machine learning. This talk was filmed at TEDxCERN. Watch the full talk here: https://youtu.be/IBoJcDlqmo0 Start each day with short, eye-opening ideas from some of the world’s greatest TEDx speakers. Hosted by Atossa Leoni, TEDx SHORTS will give you the chance to immerse yourself in surprising knowledge, fresh perspectives, and moving stories from some of our most compelling talks. Less than 10 minutes a day, everyday. All TEDx events are organized independently by volunteers in the spirit of TED’s mission of ideas worth spreading. To learn more about the TEDx SHORTS podcast, the TEDx program, or give feedback on this episode, please visit http://go.ted.com/tedxshorts.
Amazing Disclosures from Geordie here. How he talks about the capabilities of the machine in simulating quantum materials, to apparently make better things such as “pharmaceuticals”, which apparently are chemical, but also QUANTUM materials in nature… (can you say : quantum nanotechnology / transhumanism “Alien God” machine !) (I hope nobody thinks of putting something like, lets say, “DNA” into it! Well, if I just thought it… I can’t be the only one… Now nobody in God’s name would be tempted to mess with DNA in a quantum device, would they?… Geordie says ALL materials that inherently get there appearance from the microcosm (photons and electrons) (EVERYTHING) can be simulated by the DWAVE, with appropriate scaling… And how he is referring to the microcosm (photons and electrons) as “gears” to the power of the DWAVE machine! … Well lets just hope nobody ( like the governements of the world ) think of putting the gears/software together with a “big bang cyclotronic motor”/hardware underground in politically neutral terittory (LHC in switzerland) to make a vehicle that can displace mass on a quantum scale with immense energy , divorced of solar – stellar impact ( Macrocosmic quantum effect – Mandela Effect ) … (CERN)… Yah. Already done. Link to full video : https://www.youtube.com/watch?v=fMhi0fUyrs0
Visit https://brilliant.org/Veritasium/ to get started learning STEM for free, and the first 200 people will get 20% off their annual premium subscription. Digital computers have served us well for decades, but the rise of artificial intelligence demands a totally new kind of computer: analog. Thanks to Mike Henry and everyone at Mythic for the analog computing tour! https://www.mythic-ai.com/ Thanks to Dr. Bernd Ulmann, who created The Analog Thing and taught us how to use it. https://the-analog-thing.org Moore’s Law was filmed at the Computer History Museum in Mountain View, CA. Welch Labs’ ALVINN video: https://www.youtube.com/watch?v=H0igiP6Hg1k ▀▀▀ References: Crevier, D. (1993). AI: The Tumultuous History Of The Search For Artificial Intelligence. Basic Books. – https://ve42.co/Crevier1993 Valiant, L. (2013). Probably Approximately Correct. HarperCollins. – https://ve42.co/Valiant2013 Rosenblatt, F. (1958). The Perceptron: A Probabilistic Model for Information Storage and Organization in the Brain. Psychological Review, 65(6), 386-408. – https://ve42.co/Rosenblatt1958 NEW NAVY DEVICE LEARNS BY DOING; Psychologist Shows Embryo of Computer Designed to Read and Grow Wiser (1958). The New York Times, p. 25. – https://ve42.co/NYT1958 Mason, H., Stewart, D., and Gill, B. (1958). Rival. The New Yorker, p. 45. – https://ve42.co/Mason1958 Alvinn driving NavLab footage – https://ve42.co/NavLab Pomerleau, D. (1989). ALVINN: An Autonomous Land Vehicle In a Neural Network. NeurIPS, (2)1, 305-313. – https://ve42.co/Pomerleau1989 ImageNet website – https://ve42.co/ImageNet Russakovsky, O., Deng, J. et al. (2015). ImageNet Large Scale Visual Recognition Challenge. – https://ve42.co/ImageNetChallenge AlexNet Paper: Krizhevsky, A., Sutskever, I., Hinton, G. (2012). ImageNet Classification with Deep Convolutional Neural Networks. NeurIPS, (25)1, 1097-1105. – https://ve42.co/AlexNet Karpathy, [More]
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As sophisticated algorithms can complete tasks we once thought impossible, computers are seeming to become a real threat to humanity. Subscribe to The Guardian ► http://is.gd/subscribeguardian Whether they decide to pulp us into human meat paste, or simply make our work completely unnecessary, argues technology reporter Alex Hern, we should be afraid of computers. Guardian website ► http://is.gd/guardianhome Suggested videos: The last job on Earth ► http://bit.ly/LastJobOnEarth Capitalism is failing ► http://bit.ly/PaulMasonCif Guardian playlists: Comment is Free ► http://is.gd/cifplaylist Guardian Docs ► http://is.gd/guardiandocs Guardian Features ► https://goo.gl/JThOzd Guardian Animations & Explanations ►http://is.gd/explainers Guardian Investigations ► http://is.gd/guardianinvestigations The Global Migration Crisis ► http://is.gd/RefugeeCrisis Anywhere but Westminster ► https://goo.gl/rgH1ri Casetteboy remix the news ► http://ow.ly/TUqey More Guardian videos: We Walk Together ► http://bit.ly/WeWalkTogetherFilm Everyday racism – Akala ► http://bit.ly/akalacif Pretty Radical ► http://is.gd/PrettyRadical1 Capitalism is failing – Paul Mason ► http://is.gd/MasonCif My life as a female bodybuilder ► https://goo.gl/4U4jHt After Banksy: the parkour guide to Gaza ► http://ow.ly/TUpgj If I Die On Mars ► http://is.gd/IfIDieOnMars Revenge Porn: Chrissy Chambers and her search for justice ► http://ow.ly/TUoOs Mos Def force fed in Gitmo procedure ► http://is.gd/mosdef Edward Snowden interview ► http://is.gd/snowdeninterview2014 Bangladeshi Sex Workers take steroids ► http://is.gd/sexworkers Other Guardian channels on YouTube: Guardian Football ► http://is.gd/guardianfootball Guardian Music ► http://is.gd/guardianYTmusic Guardian Australia ► http://is.gd/guardianaustralia Guardian Tech ► http://is.gd/guardiantech Guardian Culture ► http://is.gd/guardianculture Guardian Wires ► http://is.gd/guardianwires Guardian Food ► http://is.gd/guardianfood
Eric Ladizinsky visited the Quantum AI Lab at Google LA to give a talk “Evolving Scalable Quantum Computers.” This talk took place on March 5, 2014. Abstract: EVOLVING QUANTUM COMPUTERS: “The nineteenth century was known as the machine age, the twentieth century will go down in history as the information age. I believe the twenty-first century will be the quantum age”. Paul Davies Quantum computation represents a fundamental paradigm shift in information processing. By harnessing strange, counterintuitive quantum phenomenon, quantum computers promise computational capabilities far exceeding any conceivable classical computing systems for certain applications. These applications may include the core hard problems in machine learning and artificial intelligence, complex optimization, and simulation of molecular dynamics .. the solutions of which could provide huge benefits to humanity. Realizing this potential requires a concerted scientific and technological effort combining multiple disciplines and institutions … and rapidly evolving quantum processor designs and algorithms as learning evolves. D-Wave Systems has built such a mini-Manhattan project like effort and in just a under a decade, created the first, special purpose, quantum computers in a scalable architecture that can begin to address real world problems. D-Wave’s first generation quantum processors (now being explored in conjunction with Google/NASA as well as Lockheed and USC) are showing encouraging signs of being at a “tipping point” .. matching state of the art solvers for some benchmark problems (and sometimes exceeding them) … portending the exciting possibility that in a few years D-Wave processors could exceed the capabilities of any [More]
Cognitive science sees the brain as a sort of computer, but how does education redesign these cerebral computers? Cognitive scientist, philosopher, and expert on consciousness Daniel Dennett explains. Watch the Q&A: https://youtu.be/0GJa0xKKSOU Subscribe for regular science videos: http://bit.ly/RiSubscRibe Buy Daniel Dennet’s most recent book “From Bacteria to Bach and Back: The Evolution of Minds” – https://geni.us/4pTW46 There is widespread agreement among researchers in cognitive science that a human brain is some kind of computer, but not much like the laptop. If we look at perceptual experience, and education in particular, as a process of redesigning our cerebral computers, how does the software get designed, and what are the limits of this design process? Daniel C Dennett finds out. Daniel C Dennett is a cognitive scientist and philosopher with a particular interest in consciousness, free will and the evolution of minds. His newest book, From bacteria to Bach and back, explores how thinking minds could have evolved due to natural selection. The Ri is on Twitter: http://twitter.com/ri_science and Facebook: http://www.facebook.com/royalinstitution and Tumblr: http://ri-science.tumblr.com/ Our editorial policy: http://www.rigb.org/home/editorial-policy Subscribe for the latest science videos: http://bit.ly/RiNewsletter Product links on this page may be affiliate links which means it won’t cost you any extra but we may earn a small commission if you decide to purchase through the link.
Tesla CEO Elon Musk on Wednesday said that computers are getting smarter than humans in more and more spheres and that the trend will continue. “We will be far, far surpassed in every single way. I guarantee it,” Musk said to Jack Ma, chairman of Alibaba, at the World Artificial Intelligence Conference in Shanghai. Ma disagreed on whether humans can create things that could outsmart us.
Can Computers Think? | Alan Turing and the Birth of Artificial Intelligence Alan Turing was a pioneering mathematician widely considered to be the father of modern computers. His revolutionary idea was to create a machine that would turn thought processes into numbers. It took a decade for technology to advance to the point where a machine could be built to test his ideas – and it worked. Today all the digital computers that we use work on this same principle. Turing believed that an intelligent machine could be created by following the blueprints of the human brain. His landmark paper of 1950 described the Turing Test for determining an intelligent machine. The test consisted of a person asking questions via a keyboard to both another person and an intelligent machine. The machine would read a series of ones and zeros from a tape which described the steps needed to solve a problem or task.   If the computer’s answers could not be distinguished from those of the person after a reasonable amount of time then the machine has some intelligence, according to the Turing Test. Turing was the first to ask the question, “Can computers think?”. In 1951, BBC broadcasted a short lecture on the radio by the mathematician. Unfortunately, we don’t have any recordings of Alan Turing today. But we can glimpse into his mind through the original script of this lost broadcast. ⏱️ TIMESTAMPS 00:00 – Who is Alan Turing? 01:13 – The Turing Test 01:44 – Can Computers [More]
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 http://ted.com/tedx
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. TICTOC ON SOCIAL: Follow TicToc on Twitter: https://twitter.com/tictoc Like TicToc on Facebook: https://www.facebook.com/tictoc Follow TicToc on Instagram: https://www.instagram.com/tictoc Watch all of TicToc’s videos: https://www.tictoc.video/ Listen to TicToc’s podcast: https://apple.co/2D3Vta7 Subscribe to our newsletter: https://bit.ly/2FJ0oQZ 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 http://vimeo.com/87885342 http://www.emotient.com/blog/emotient-raises-6m-facial-expression-recognition-tech-debuts-google-glass-sentiment-analysis Nuance Communications (the company behind Dragon Dictation software) wants to make your voice assistants emotionally-aware. http://www.fastcompany.com/1839275/does-your-phone-know-how-happy-you-are-emotion-recognition-industry-comes-giddily-age An app called Moodies says it can interpret emotion in your voice. https://itunes.apple.com/us/app/moodies-emotions-analytics/id793945393?mt=8 A company called Affectiva has built a system for reading emotion while you watch ads, which you can try for yourself here. http://www.affdex.com/ @anniegaus facebook.com/anniegaus vk.com/anniegaus google.com/+anniegaus
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 https://gaia.com/5thkind 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. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
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. Please Like and Subscribe for more weekly videos! Follow me on Twitter: https://twitter.com/thecompscirocks Follow me on Instagram: https://www.instagram.com/thecompscirocks/ Follow me on Facebook: https://www.facebook.com/thecompscirocks/ Some sources & further reading: http://www.mind.ilstu.edu/curriculum/protothinker/natural_language_processing.php https://nlp.stanford.edu/ https://research.google.com/pubs/NaturalLanguageProcessing.html https://en.wikipedia.org/wiki/Natural_language_processing https://en.wikipedia.org/wiki/Natural_language_understanding https://en.wikipedia.org/wiki/Natural_language_generation https://en.wikipedia.org/wiki/Tokenization_(lexical_analysis) https://en.wikipedia.org/wiki/Syntax https://en.wikipedia.org/wiki/Parsing https://en.wikipedia.org/wiki/Context-free_grammar https://en.wikipedia.org/wiki/Semantics https://en.wikipedia.org/wiki/Pragmatics https://en.wikipedia.org/wiki/Sentiment_analysis