MIT Introduction to Deep Learning 6.S191 (2020) DISCLAIMER: The following video is synthetic and was created using deep learning with simultaneous speech-to-speech translation as well as video dialogue replacement (CannyAI). ** NOTE**: The audio quality demonstrated here was additionally degraded since we want to avoid improper use of this technology. The purpose of this video is to excite the class about the potential of deep learning, not to deceive anyone. Thus, we purposely lowered the audio quality before publishing to make the synthetic aspect of this video clearer. All course lectures are posted online: For all lectures, slides, and lab materials vist Subscribe to stay up to date with new deep learning lectures at MIT, or follow us on @MITDeepLearning on Twitter and Instagram to stay fully-connected!!
THINKING PHILOSOPHICALLY ABOUT TECHNOLOGY BY WATCHING FILMS (A 12-week course by Dr. Marc Champagne, — PART A: Software and Hardware — WEEK 1: Social media, part 1 Lecture (audio gets better after first 18 minutes): Nosedive (2016, by Joe Wright, 1hr3min) Netflix ($), Black Mirror series, season 3, episode 1 WEEK 2: Basics of philosophy Lecture (taken from another class, but same content): WEEK 3: More basics of philosophy + Social media, part 2 Lecture: The Social Dilemma (2020, by Jeff Orlowski, 1hr34min) Netflix ($): Quit social media (2016, by Cal Newport, 14min) WEEK 4: Data, surveillance, and control Shoshana Zuboff on surveillance capitalism (2019, by VPRO, 50min) (Be sure to activate the captions or “CC” button for the few parts in foreign language) The Selfish Ledger (2016, by Nick Foster, 9min) A disturbing concept to reshape humanity with data (2018, by The Verge, 8min) Neuralink demonstration (4min) Lecture: WEEK 5: Artificial people, part 1 (software) How Far is Too Far? (2019, by R. Downey Jr., 35min) Her (2013, by Spike Jonze, 2hr6min) YouTube ($): John Searle’s Chinese room thought-experiment (2015, by BBC, 4min) Lecture: WEEK 6: Artificial people, part 2 (hardware) Love, art and stories: decoded (2019, by R. Downey Jr., 39 min) A.I.: Artificial Intelligence (2001, by Steven Spielberg, 2hr26min) Lecture: — PART B: Wetware and Beyond — WEEK 7: Energy and futurology Into Eternity (2010, by Michael [More]
In this video, I react to Sam Harris discussing the possibility of losing control over artificial intelligence. He argues that we need to be very careful about how we build AI, and that we need to make sure that we always have a way to shut it down if necessary. Artificial General Intelligence (AGI) and Superintelligent AI might be something we have to address in the near future. The video: 00:00 – Sam Harris’ TED Talk on the dangers of super intelligent AI 00:47 – The dangers of artificial intelligence 01:28 – The Emotional Response to AI 02:11 – The Dangers of Technology 02:52 – The inevitability of continued innovation 03:42 – The point of no return for intelligent machines 04:20 – The intelligence explosion 05:05 – The reality of stepping over them 05:52 – The thought of this is valuable 06:36 – The impossibility of containing a superintelligence 07:24 – The inevitability of building general intelligence into machines 8:07 – The value of intelligence 08:51 – The Train of Artificial Intelligence 09:35 – The summit of intelligence 10:18 – The spectrum of intelligence 11:07 – The speed of a superintelligence 11:48 – The risks of superintelligence 12:28 – The end of human work 13:04 – The Inequality of a Machine-Dominated World 13:45 – The geopolitical implications of super intelligent AI 14:32 – The risks of a superintelligence 15:14 – The Reassuring Argument that AI is a Long Way Off 15:54 – The non-sequitur of referencing the time horizon [More]
#SamHarris #ElonMusk #Nietzsche created by godsjoker123 Main Channel (Logos XXI: The Rise of the One) @Logos XXI: The Rise of the One Sources: Can we build AI without losing control over it? | Sam Harris L2E1 Thunder: Declaration of the Final World War Neuralink Launch Event L1E2 Why War? The Reasons for Mental Warfare Music by Serge Quadrado: My Great Planet
Can a Terminator scenario happen ? Can A.I escape our control and destroy us ? This video is related with the scenario of Terminator. Not General A.I. NON PROFIT VIDEO. ENTERTAINMENT PURPOSES. FOOTAGE FROM: TERMINATOR MOVIES. (1984, 1991, 2003, 2015) DOCUMENTARY: THE AGE of A.I (Network Entertainment, Sonar Entertainment,Team Downey) TED Conference: Can we build AI without losing control over it. – Sam Harris. Preparing for a future with Artificial Intelligence. – Robin Winsor The Terminator, SkyNet and Alexa The Present and Future of A.I. – Marc Talluto Elon Musk on A.I in PowerfulJRE Google’s AI AlphaGo Is Beating Humanity At Its Own Games (HBO) Robot vs World Chess Champion-14 Vladimir Kramnik. Alien Covenant – Meet Walter The Great Hack – Official Trailer (Netflix) Tesla Bot Elon Musk reveals a humanoid TESLA ROBOT Steve Jobs introduces iPhone in 2007 Boston Dynamics videos. Twitter: @sxdementia All Rights Reserved to their own owners. Edited by SxDementia. 2021.
UNIT1-CS8691-ARTIFICIAL INTELLIGENCE|-Introduction-Definition – Future ofArtificial Intelligence For All Anna University Notes Available Visit the link #shobina #shobina k #shobinak #shobinallah #Computer programming #au #engineering #annauniversity #ip #engineering #css #html #html5 #ai #cloud #cse #cloudcomputing #python #softwaretesting #artificial Intelligence anna university latest updates anna university notes applications of ai artificial Intelligence artificial intelligence applications artificial intelligence explained artificial intelligence tutorial big boss cooking cs8651 cs8691 future of ai history of ai ipl stages of ai types of ai what is ai what is artificial intelligence #artificial Intelligence #ai #ai tutorial
Rodney Brooks discusses the evolution from automatic guided vehicles to autonomous mobile robots to collaborative mobile robots, and what it means for the world. See more sessions: #thedigitalfactory #robotics #robots Rodney is a robotics entrepreneur and is currently the CTO and co-founder of Robust AI. Before that he was Founder, Chairman and CTO of Rethink Robotics (it ran from September 1st, 2008, through October 3rd, 2018, and was originally called Heartland Robotics). He is also a Founder, former Board Member (1990 – 2011) and former CTO (1990 – 2008) of iRobot Corp (Nasdaq: IRBT). Dr. Brooks is the former Director (1997 – 2007) of the MIT Artificial Intelligence Laboratory and then the MIT Computer Science & Artificial Intelligence Laboratory (CSAIL). He received degrees in pure mathematics from the Flinders University of South Australia and a Ph.D. in Computer Science from Stanford University in 1981. He held research positions at Carnegie Mellon University and MIT, and a faculty position at Stanford before joining the faculty of MIT in 1984. He has published many papers in computer vision, artificial intelligence, robotics, and artificial life. ——————————————————– In May 2022, Formlabs hosted The Digital Factory conference in Boston. It brought together global leaders in manufacturing, engineering, product design, and more with the goal of discussing the future of manufacturing. Global manufacturing continues to transform into an increasingly automated and digitized global network, and the last two years have further accelerated that transition. This transition has introduced new questions about the future of manufacturing, [More]
Grimes is a musician, artist, singer, songwriter, producer, and director. Please support this podcast by checking out our sponsors: – Brave: – Novo: – Lambda: – Public Goods: and use code LEX to get $15 off – Blinkist: and use code LEX to get 25% off premium EPISODE LINKS: Grimes’s Twitter: Grimes’s Instagram: PODCAST INFO: Podcast website: Apple Podcasts: Spotify: RSS: Full episodes playlist: Clips playlist: OUTLINE: 0:00 – Introduction 2:03 – Identity 6:01 – Music production 18:52 – Spotify 23:34 – Experimental music 26:09 – Vision of future 38:42 – Motherhood 54:50 – Consciousness 1:09:40 – Love 1:15:31 – Metaverse 1:28:13 – Technology and bureaucracy 1:32:11 – Mortality 1:40:36 – Understanding evil 1:44:34 – Last person on Earth 1:47:12 – Dan Carlin 1:49:42 – Rise and Fall of the Third Reich 1:56:07 – Coolest human invention 1:57:28 – Advice for young people 2:00:40 – Meaning of life SOCIAL: – Twitter: – LinkedIn: – Facebook: – Instagram: – Medium: – Reddit: – Support on Patreon:
Intel AI is transforming medicine from a one-size-fits-all approach to unique, personalized, data-driven solutions that unlock targeted and more effective treatment. Intel’s portfolio of AI technologies and high performance computing is empowering healthcare innovators with new insights and enhanced patient outcomes. For more stories about people who are using technology to make a difference in the world, check out @Freethink at About Intel: Intel, the world leader in silicon innovation, develops technologies, products and initiatives to continually advance how people work and live. Founded in 1968 to build semiconductor memory products, Intel introduced the world’s first microprocessor in 1971. This decade, our mission is to create and extend computing technology to connect and enrich the lives of every person on earth. Connect with Intel: Visit Intel WEBSITE: Like Intel on FACEBOOK: Follow Intel on TWITTER: Follow Intel on INSTAGRAM: Accelerating Precision Medicine with AI | Intel
Describe what a client/server and a peer to peer network is. Discuss the differences between them and describe the hardware and software required
How to configure Peer to Peer Connection with packet tracer simulation What you need: a. 2 Laptop b. Cross Over Cable Contact me: Blogspot: FB: Twitter: G+ : -~-~~-~~~-~~-~- Please watch: “Introduction Guacamole Server as Clientless Remote Desktop Gateway [Part 1]” -~-~~-~~~-~~-~-
Part 2 is here for UDP p2p connections. In the first video I used netcat, in this video I’ll use Python instead and streamline the connection process using a rendezvous server. Hope you enjoyed the video! Part 1: Check out this code here: Join my Discord server and come say hi: Check out some code on my GitHub: Send me a Gab: Other Social:
►screenshots: 00:07 demo the app. using 3 peers 02:04 code the app. 02:25 setup the app. for using JSON 02:47 go over the different classes that make up the app. 02:55 Peer acts as both client to other Peers (acting as servers), and server to other Peers (acting as clients) 03:10 Peer class (acting as client) spawns PeerThreads 03:28 Peer class spawns one ServerThread (to act as server to other Peers) 03:35 ServerThread in turn spawns ServerThreadThreads to handle communications w/ other Peers acting as clients 04:20 coding the Peer class 05:00 coding the ServerThread class 07:13 coding the PeerThread class 12:06 coding the ServerThreadThread class 14:21 test run the app. w/ 4 peers 15:45 peer selects which other peers to receive messages from 17:24 peers exiting the active communication session 17:36 peers entering the active communication session ‘Peer-to-peer (P2P) chat w/ JAVA – prototype project 02 (members version – 35:06 minutes)’ is now available for viewing by all members @ ► get access to members-only video contents + support: ► website + download source code: ► download directly: download ai source code @ download crypto source code @ download source code (old) page # 2 @ download source code (older) page # 1 @
everything you need to complete coursera assignments is covered in this video.. i hope you all like it.! Also check out this : any queries? dm at #coursera #courseraassignments
Learn how to create a neural network using JavaScript with no libraries. In this course you will learn to make a self-driving car simulation by implementing every component step-by-step. You will learn how to implement the car driving mechanics, how to define the environment, how to simulate some sensors, how to detect collisions, and how to make the car control itself using a neural network. The course covers how artificial neural networks work, by comparing them with the real neural networks in our brain. You will learn how to implement a neural network and how to visualize it so we can see it in action. ✏️ Dr. Radu Mariescu-Istodor created this course. Check out his channel: 💻 Code: ⭐️ Course Contents ⭐️ ⌨️ (0:00:00) Intro ⌨️ (0:03:44) Car driving mechanics ⌨️ (0:32:26) Defining the road ⌨️ (0:50:50) Artificial sensors ⌨️ (1:10:07) Collision detection ⌨️ (1:23:20) Simulating traffic ⌨️ (1:34:57) Neural network ⌨️ (2:03:10) Parallelization ⌨️ (2:18:31) Genetic algorithm ⌨️ (2:29:40) Ending ⭐️ Links ⭐️ 🔗 Radu’s website (with enhanced version of code): 🔗 Radu’s workplace (consider applying): 🔗 Segment intersection (Math and JavaScript code): 🔗 Visualizing a neural network in JavaScript: 🔗 Visualizer code: 🔗 Drawing random color cars in JavaScript: 🎉 Thanks to our Champion and Sponsor supporters: 👾 Raymond Odero 👾 Agustín Kussrow 👾 aldo ferretti 👾 Otis Morgan 👾 DeezMaster — Learn to code for free and get a developer job: Read hundreds of articles on programming:
How Artificial Intelligence Change in Future | 6 Way How AI effect our Daily Life | Future with Artificial Intelligence | Futureyan About Video- 0:00 Future of Artificial Intelligence 1:08 1. Taking over dangerous jobs 2:08 2. Automated Transportation 2:49 3. Robot as friends 3:33 4. Solving climate change 3:57 5. AI in Education 4:43 6. AI in Military and Cybersecurity Future of Artificial intelligence- 1. To build Artificial intelligence smarter, companies have already acquired around 34 Artificial intelligence startups. These companies are reinforcing their leads in the world of artificial intelligence. 2. Artificial intelligence is used by a wide variety of sectors for it is beneficial. Also, it is a fact that Artificial intelligence is now reached in our day-to-day life. 3. Only Artificial intelligence is able to work better than humans. Currently situation, Artificial intelligence is estimated to pave the way for close 2.3 million opportunities by the year 2020 future scope is much higher than this. We use Artificial intelligence to organize big data into different patterns and structures. Also, patterns help in neural networks, machine learning, and data analytics. You can expect an increase in the quantity of the world of search engines and machine translation. This will be possible due to the fact that the computer will begin to understand and analyze the meaning of the text. #futureofai #futureofartificialintelligence #artificialintelligence #futureofaitechnology #aiandthesuperfuture #riseofartificialintelligenceinbusinessandeverydaylife #riseofartificialintelligence #artificialintelligencerobot #artificialintelligence2021 #FUTUREYAN #artificialintelligenceuses #artificialneuralnetwork #futureofartificialintelligenceanditsimpactonsociety #artificialintelligenceexplained
Nio: CHANGING The WORLD! Elon Musk CONFRONTS Bill Gates! Nio stock is one of the fastest-growing EV stocks in the market today. In this video we talked about all things nio stock. Nio continues to beat all of their expectations especially with Tesla stock being a huge competitor. We talked about Tesla vs nio and which company is better to buy right now. Nio could be one of the stocks to buy now in the stock market that will show you potential growth. Nio stock is on the track to massive growth with Europe expansion, battery swap stations, and more. Nio is one of our favorite stocks and we talked about nio stock all the time on this channel. Nio vs. Tesla is one question we get a lot on this channel. In our videos we tried to give all of the Nio stock information to keep you guys up to date on all things Nio stock and stock market related news. Discord community! —-►Patreon – Youtube Memberships! —-► 👕MERCH!!!! 👕—-► Twitter —-► *I am NOT a financial Advisor. This video is for entertainment and education purposes only. This video is not financial advice. You can lose money investing into the stock market. You are liable for any losses that you incur from investing in the stock market.. I shall not be held liable for any losses you may incur while investing or trading on the stock market. Contact a licensed financial professional in your area [More]
Fires burning across the Amazon rainforest have renewed the debate about solutions to climate change. Bill Gates is backing the first high-altitude experiment of one radical approach called solar geoengineering. It’s meant to mimic the effects of a giant volcanic eruption. Thousands of planes would fly at high altitudes, spraying millions of tons of particles around the planet to create a massive chemical cloud that would cool the surface. “Modeling studies have found that it could reduce the intensity of heat waves, for instance, apparently it could reduce the rate of sea level rise. It could reduce the intensity of tropical storms,” said Andy Parker, project director at the Solar Radiation Management Governance Initiative. The technology is not far from being ready and it’s affordable, but it could cause massive changes in regional weather patterns and eradicate blue sky. “These consequences might be horrific. They might involve things like mass famine, mass flooding, drought of kinds that will affect very large populations,” said Stephen Gardiner, author of “A Perfect Moral Storm: The Ethical Tragedy of Climate Change.” Watch the video to learn how it would work and hear the debate around the ethics and efficacy of solar geoengineering. » Subscribe to CNBC: » Subscribe to CNBC TV: » Subscribe to CNBC Classic: About CNBC: From ‘Wall Street’ to ‘Main Street’ to award winning original documentaries and Reality TV series, CNBC has you covered. Experience special sneak peeks of your favorite shows, exclusive video and more. Connect with [More]
#cryptocurrency #blockchain #Chamath #Visa #bitcoin #btc #ElonMusk #BillGates #Microsoft #Tesla
Sanctuary AI says building human-level artificial intelligence that can execute human tasks safely requires a deep understanding of the living mind. Hello World’s Ashlee Vance heads to Vancouver to see the startup’s progress toward bringing robots to life. Watch more Hello World in the Pacific Northwest: Part One: Part Two: AI or Bust in Seattle’s Real Estate Market #HelloWorld #robotics #bloombergquicktake ——– Like this video? Subscribe: Become a Quicktake Member for exclusive perks: Subscribe to Quicktake Explained: QuickTake Originals is Bloomberg’s official premium video channel. We bring you insights and analysis from business, science, and technology experts who are shaping our future. We’re home to Hello World, Giant Leap, Storylines, and the series powering CityLab, Bloomberg Businessweek, Bloomberg Green, and much more. Subscribe for business news, but not as you’ve known it: exclusive interviews, fascinating profiles, data-driven analysis, and the latest in tech innovation from around the world. Visit our partner channel QuickTake News for breaking global news and insight in an instant.
The implications and promises of artificial intelligence (AI) are unimaginable. Already, the now ubiquitous functions of AI have changed our lives dramatically—the “fastest route” always at our fingertips, a chatbot to answer all our questions. But what’s possible today will be dwarfed by the great potential of AI in the near future. Advances in computing and the existence of entirely new data sets are ushering in AI capable of realizing milestones that have long eluded us: curing cancer, exploring deep space, understanding climate change. That promise is what fuels our culture’s unrelenting excitement and investment in AI. It also raises the need for real, honest dialogue about how we build and adopt these technologies responsibly. This is the moment for such a conversation. How do we enforce human checks and balances on these machines? How do we educate a workforce whose jobs are evolving with AI? How do we make sure AI is accessible to all socioeconomic classes? The responsibility to raise these questions does not rest solely on the shoulders of journalists and leading technology companies. Rather, it’s the responsibility of all engaged citizens. The answers may not be readily available. But that cannot prevent us from asking them; the stakes are too high, and the promises of this technology are too great. Read more about how AI is shaping our world – From the World Economic Forum: From Hewlett Packard Labs:
Gabriele Viebach: Managing Director – Kimera Systems Europe
How does AI cope with decision-making in an uncertain world, when compared with the human brain? Watch the Q&A here: Gerd’s book ‘How to Stay Smart in a Smart World’ is out now: Subscribe for regular science videos: In this talk, Gerd discusses how trust in complex algorithms can lead to illusions of certainty that become a recipe for disaster. 00:00 Intro 06:23 The algorithms of finding love online 09:52 Why AI only works in stable world situations 12:03 The illusion of fully automated self-driving cars 14:13 Why Elon Musk’s prediction is wrong 17:09 Is more data always a good thing? 24:29 How human common sense differs from AI 26:50 Why humans and computers make different mistakes 31:28 The problem with deep neural networks 33:49 Are we sleep-walking into surveillance? 38:30 The lack of risk literacy amongst politicians and decision-makers 41:52 Face recognition doesn’t work for all problems 44:28 People want online privacy – but they don’t want to pay for it 51:07 China’s social credit system – could it happen in the west? 55:38 How to stay smart in a smart world This livestream was recorded at the Ri on 28 April 2022. Gerd Gigerenzer is Director of the Harding Centre for Risk Literacy at the University of Potsdam, Faculty of Health Sciences Brandenburg and partner of Simply Rational – The Institute for Decisions. He is the former Director of the Center for Adaptive Behavior and Cognition (ABC) at the Max Planck Institute for Human Development [More]