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This is a summary of Judea Pearl’s (UCLA) paper “Learning Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution” Paper : https://arxiv.org/abs/1801.04016 ~ Twitter: https://twitter.com/prajjwal_1 Please support me on Patreon : https://patreon.com/aijournal
Includes Artificial Intelligence, Machine Learning, Blockchain Technology, Augmented Reality & IOT Face++, Mobike & OFO, PayEgis, Meitu, Inke About Me: Hey! I’m a Tech entrepreneur with marketing skills and an education in finance! My videos are related to TECH & STARTUPS! Companies I’ve founded: – Vintage Stock Shop: Online platform to buy and sell antiques – CRON Systems: Border defense startup, developing scalable IoT based Intrusion detection system – Sick Pluto: Goth inspired fashion & lifestyle brand Education: – LSR Delhi – IIM Bangalore – Peking University Beijing Location- New Delhi, India INSTAGRAM- https://www.instagram.com/farheen.ok/ FACEBOOK- https://www.facebook.com/farheen.ahmad/222 💜 Internet of Stuff
Learn more: http://oracle.com/analytics Discover what Oracle augmented analytics is and how it helps businesses analyze all their data for better decisions.
What’s actually happening to a neural network as it learns? Next chapter: https://youtu.be/tIeHLnjs5U8 Help fund future projects: https://www.patreon.com/3blue1brown An equally valuable form of support is to simply share some of the videos. Special thanks to these supporters: http://3b1b.co/nn3-thanks And by CrowdFlower: http://3b1b.co/crowdflower Home page: https://www.3blue1brown.com/ The following video is sort of an appendix to this one. The main goal with the follow-on video is to show the connection between the visual walkthrough here, and the representation of these “nudges” in terms of partial derivatives that you will find when reading about backpropagation in other resources, like Michael Nielsen’s book or Chis Olah’s blog. Video timeline: 0:00 – Introduction 0:23 – Recap 3:07 – Intuitive walkthrough example 9:33 – Stochastic gradient descent 12:28 – Final words
Learn Artificial Intelligence from leading experts and attain a Dual Certificate in AI and Machine Learning from world-renowned universities. Take the step towards your professional growth by obtaining expertise in the real-world application of the latest technological tools of AI. Over 500+ Hiring Partners & 8000+ career transitions over varied domains. Know More: https://glacad.me/3qSjmt0 For data sets, code files and projects associated with course please enroll for free at: https://www.greatlearning.in/academy/learn-for-free/courses/machine-learning-with-python Machine learning is changing the world that we live in. Top companies such as Facebook, Google, Microsoft and Amazon are looking for machine learning engineers and the average salary of a machine learning engineer is around 120k$ dollars. Visit Great Learning Academy, to get access to 80+ free courses with 1000+ hours of content on Data Science, Data Analytics, Artificial Intelligence, Big Data, Cloud, Management, Cybersecurity and many more. These are supplemented with free projects, assignments, datasets, quizzes. You can earn a certificate of completion at the end of the course for free. https://glacad.me/3uBbddU Get the free Great Learning App for a seamless experience, enroll for free courses and watch them offline by downloading them. https://glacad.me/3cSKlNl This full course on Machine Learning with Python will be taught by Dr Abhinanda Sarkar. Dr Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. He is ranked amongst the Top 3 Most Prominent Analytics & Data Science Academicians in India. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT) as well as been visiting [More]
If you can’t beat em, join em…
What happens when 2 Scottish people end up in an Elevator that uses Voice Recognition.
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Stanford Law Professor Dan Ho discusses how AI is shifting the understanding of the Constitution during the human and societal impact lightning talk at the inaugural HAI Symposium on March 18, 2019.
#shorts Last year, Detroit police arrested Robert Williams on his front lawn in front of his wife and children. His alleged crime? Face recognition technology had matched his photo from an old driver’s license to an image taken from blurry surveillance footage of a local shoplifting incident. Face recognition technology has been shown time and time again to be biased against people of color and other marginalized groups, who are misidentified at higher rates. When police showed Robert the surveillance image, he said, “I hope you all don’t think all Black people look alike.” #shorts
This talk was given at a local TEDx event, produced independently of the TED Conferences. Kevin Surace materfully delivers his view on the new coming renaissance where automation helps us in many aspects of our lives. He says: “Humans can choose to invent, contribute, execute and master many fields. All in one lifetime. Or Not” Credits: all media are creative common or belong to the speaker Kevin Surace is an innovator and entrepreneur and CEO of Appvance which drives scalability and performance of apps and websites. Kevin has led organizations instilling innovation, technology, and revenue growth including Serious Energy (from 0 to 420 employees), Perfect Commerce (supply chain software), CommerceNet (non-profit), General Magic (virtual assistant), WebKnight (Java authoring) and Air Communications (smartphone). He has been featured in BusinessWeek, Time, Fortune, Forbes and CNN and keynoted hundreds of gatherings from INC5000 to TED to the halls of congress. He has been Entrepreneur of the Year (Inc. Magazine), named a top 15 innovator of this decade (CNBC), awarded Tech Pioneer (World Economic Forum), nominated as Innovator of the Year (PlanetForward) and inducted into the Innovation Hall of Fame (RIT). At Serious Energy he helped to retrofit some 70,000 projects including the Empire State Building and NY Stock Exchange. He serves on 6 boards and has been awarded 24 US patents. In his spare time, he is also a well known music director, producer, arranger and percussionist. About TEDx, x = independently organized event In the spirit of ideas worth spreading, TEDx is [More]
Lex Fridman Podcast full episode: https://www.youtube.com/watch?v=rIpUf-Vy2JA Please support this podcast by checking out our sponsors: – Coinbase: https://coinbase.com/lex to get $5 in free Bitcoin – Codecademy: https://codecademy.com and use code LEX to get 15% off – Linode: https://linode.com/lex to get $100 free credit – NetSuite: http://netsuite.com/lex to get free product tour – ExpressVPN: https://expressvpn.com/lexpod and use code LexPod to get 3 months free GUEST BIO: Joscha Bach is a cognitive scientist, AI researcher, and philosopher. PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 SOCIAL: – Twitter: https://twitter.com/lexfridman – LinkedIn: https://www.linkedin.com/in/lexfridman – Facebook: https://www.facebook.com/lexfridman – Instagram: https://www.instagram.com/lexfridman – Medium: https://medium.com/@lexfridman – Reddit: https://reddit.com/r/lexfridman – Support on Patreon: https://www.patreon.com/lexfridman
Download Stig & Preston’s 1 page checklist for finding great stock picks: http://buffettsbooks.com/checklist Subscribe to The Investors Podcast on iTunes: https://itunes.apple.com/us/podcast/the-investors-podcast/id928933489 Subscribe to The Investors Podcast on Stitcher: http://www.stitcher.com/podcast/theinvestorspodcast/the-investors-podcast?refid=stpr Subscribe to The Investors Podcast on SoundCloud: https://soundcloud.com/theinvestorspodcast Have a question? Get your voice heard on the show: http://www.theinvestorspodcast.com/get-on-the-show.html ABOUT THE EPISODE: In this week’s episode, Martin Ford joins Preston and Stig for an interesting discussion about Artificial Intelligence (AI). Martin is the New York Times Best Selling author of the book, Rise of the Robots. He is an expert on deep learning neural networks and machine learning. During the discussion, we also talk about AI’s potential impact on the economy and labor market.
Video games can be tough, but it’s always nice to know that these guys have got your back. Join http://www.WatchMojo.com as we count down our picks for the Top 10 Most Helpful A.I Companions In Video Games. Suggestion Tool►►http://www.WatchMojo.com/suggest Subscribe►►http://www.youtube.com/subscription_center?add_user=watchmojo Facebook►►http://www.Facebook.com/WatchMojo Twitter►►http://www.Twitter.com/WatchMojo Instagram►►http://instagram.com/watchmojo Channel Page►►http://www.youtube.com/watchmojo For this list, we are looking at sidekicks, teammates and partners that accompany the player throughout the experience, helping them to overcome obstacles and enemies, but most importantly are rarely in the way. Special thanks to our user W-S for submitting the idea on our interactive suggestion tool: WatchMojo.com/suggest Check out the voting page here, http://www.watchmojo.com/suggest/top+ten+most+helpful+AI+companions+in+video+games Want a WatchMojo cup, mug, t-shirts, pen, sticker and even a water bottle? Get them all when you order your MojoBox gift set here: http://watchmojo.com/store/ WatchMojo is a leading producer of reference online video content, covering the People, Places and Trends you care about. We update DAILY with 4-5 Top 10 lists, Origins, Biographies, Versus clips on movies, video games, music, pop culture and more!
After being inspired by a talk given by Joscha Bach at the Human-Level AI Conference 2018, GoodAI thought it would be a good idea to conduct an informal interview with him to further explore some ideas. We teamed up with AI philosopher Jan Romportl who conducted the “interview” and what we got was a fascinating discussion. They discussed topics such as singularity, morality and ethics, as well as the development of intelligent life, viewing the universe as a search process directed by physics which was optimized by evolution, and then by intelligence. Some of the questions they tackle include: – How can we convince AI to share a purpose with us? – How did Marvin Minsky cause such a rift in the AI field? – Will global warming wipe us out before we create human-level AI? – What can we learn about the nature of emotions from the science of AI? We hope you enjoy the discussion as much as we did! Joscha Bach is a Cognitive Scientist at Harvard Program for Evolutionary Dynamics. He is interested in finding out how the mind works, and has an intensely curious about many domains, including physics, technology, politics and macroeconomics. Jan Romportl is Chief Data Scientist at O2 Czech Republic as well as Chief Science Officer at the AI Startup Incubator. His current research interests are in in the fields of anthropocene and safety of artificial intelligence.
This week, Microsoft announced several technology updates aimed at helping customers adopt artificial intelligence tools that can yield big benefits for businesses and organizations. The announcements come as most companies say they want to use AI, even though some are struggling to figure out how to do so. Industry analysts have predicted an explosion of AI adoption over the next few years, but they say many companies still face internal barriers to AI adoption. For AI to deliver its vast potential, Microsoft executives said industry leaders must not only make AI-infused technology faster, more intuitive and more useful, but also build public trust that AI technology will be used responsibly. Subscribe to Microsoft on YouTube here: https://aka.ms/SubscribeToYouTube Follow us on social: LinkedIn: https://www.linkedin.com/company/microsoft/ Twitter: https://twitter.com/Microsoft Facebook: https://www.facebook.com/Microsoft/ Instagram: https://www.instagram.com/microsoft/ For more about Microsoft, our technology, and our mission, visit https://aka.ms/microsoftstories
At CES 2017 in Las Vegas, NVIDIA founder and CEO Jen-Hsun Huang describes the company’s dedication to solving some of the most challenging computing problems ever: gaming, virtual reality, supercomputing and self-driving cars. And how GPU deep learning has ignited the revolution in artificial intelligence that will transform our lives.
Sam Harris Talks Superintelligence, Ethics, Sexbots & Dangers (Encore) From: Can we build AI without losing control over it? | Sam Harris – TED – https://www.youtube.com/watch?v=8nt3edWLgIg Sam Harris & Kate Darling Mind-blowing Conversation on Robot Ethics & AI – https://www.youtube.com/watch?v=f-a5f12ao6w Sam Harris – Problems Superintelligence and AI – https://www.youtube.com/watch?v=8q_3Hcvvo8c Sam Harris – https://en.wikipedia.org/wiki/Sam_Harris Before the First Cup Twitter – https://twitter.com/JulEStan1 UCY.TV email: contact.ucytv@gmail.com. Real news, for the people, by the people. FAIR USE NOTICE: This video may contain copyrighted material. Such material is made available for educational purposes only.This constitutes a ‘fair use’ of any such copyrighted material as provided for in Title 17 U.S.C.section 106A – 117 of the U.S.Copyright Law.
Notebook: https://drive.google.com/file/d/1mMKGnVxirJnqDViH7BDJxFqWrsXlPSoK/view?usp=sharing Blog post: http://minimaxir.com/2018/05/text-neural-networks/ A quick guide on how you can train your own text generating neural network and generate text with it on your own computer! More about textgenrnn: https://github.com/minimaxir/textgenrnn Twitter: https://twitter.com/minimaxir Patreon: https://patreon.com/minimaxir
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There’s a discussion going on about the topic we are covering today: what’s the difference between AI and machine learning and deep learning. (Get our free list of the worlds best AI newsletters right here 👉 https://hubs.ly/H0dL3qz0) Very frequently, press coverage and even practitioners of analytics use the terms Artificial Intelligence and Machine Learning interchangeably. Disregarding the difference between AI and machine learning and deep learning. However, these three concepts do not represent the same. In this video, we are going to break this down for you, giving you examples of use cases making the difference between ai and machine learning and deep learning more clear. Any device that perceives its environment and takes actions to maximize its chances of success, can be said to have some kind of artificial intelligence, more frequently referred to as A.I. More specifically, when a machine has “cognitive” capabilities, such as problem solving and learning by example it is usually associated with A.I. Artificial Intelligence has three different levels: Narrow AI: when a computer can perform one task much better than a human; this is where we stand nowadays. 2. General AI: when a machine can successfully perform any given intellectual task that a human being can too 3. Strong AI: when machines can beat humans in many of tasks. Machine Learning is a subset of AI. This is what most applications of AI in business rely on currently. Want to know more about how businesses are applying AI? Watch this video, in which [More]
AGI Rock Band in Beijing closing Artificial General Intelligence conference in 2013
An excerpt from the 1968 film “2001: A Space Odyssey” directed by Stanley Kubrick. Synopsis: Mankind finds a mysterious, obviously artificial, artifact buried on the moon and, with the intelligent computer HAL, sets off on a quest, where the way the HAL 9000 super computer malfunctions. © Metro-Goldwyn-Mayer Inc. (MGM)