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At DeepMind, we’re embarking on one of the greatest adventures in scientific history. Our mission is to solve intelligence, to advance science and benefit humanity. To make this possible, we bring together scientists, designers, engineers, ethicists, and more, to research and build safe artificial intelligence systems that can help transform society for the better. By combining creative thinking with our dedicated, scientific approach, we’re unlocking new ways of solving complex problems and working to develop a more general and capable problem-solving system, known as artificial general intelligence (AGI). Guided by safety and ethics, this invention could help society find answers to some of the most important challenges facing society today. We regularly partner with academia and nonprofit organisations, and our technologies are used across Google devices by millions of people every day. From solving a 50-year-old grand challenge in biology with AlphaFold and synthesising voices with WaveNet, to mastering complex games with AlphaZero and preserving wildlife in the Serengeti, our novel advances make a positive and lasting impact. Incredible ideas thrive when diverse people join together. With headquarters in London and research labs in Paris, New York, Montreal, and Mountain View, CA, we’re always looking for great people from all walks of life to join our mission. Learn more at deepmind.com/about and apply for open roles at deepmind.com/careers. #LifeAtDeepMind #artificialintelligence #AGI #socialimpact
Deepmind's GNoME AI has 10x'd the number of known stable materials, and more than 736 of them have already been successfully created in the lab. The AI Breakdown helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Breakdown wherever you listen: 🤍 Subscribe to the newsletter: 🤍 Join our Discord: 🤍 Learn more: 🤍k/
With more board configurations than there are atoms in the universe, the ancient Chinese game of Go has long been considered a grand challenge for artificial intelligence. On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. Hundreds of millions of people around the world watched as a legendary Go master took on an unproven AI challenger for the first time in history. Directed by Greg Kohs and with an original score by Academy Award nominee Hauschka, AlphaGo had its premiere at the Tribeca Film Festival. It has since gone on to win countless awards and near universal praise for a story that chronicles a journey from the halls of Oxford, through the backstreets of Bordeaux, past the coding terminals of DeepMind in London, and ultimately, to the seven-day tournament in Seoul. As the drama unfolds, more questions emerge: What can artificial intelligence reveal about a 3000-year-old game? What can it teach us about humanity? Best documentary winner: Denver International Film Festival (2017), Warsaw International Film Festival (2017), and Traverse City Film Festival (2017). Official selection at Tribeca Film Festival (2017), BFI London Film Festival (2017), and Critics' Choice Documentary Awards (2017). Find out more: 🤍 "I want my style of Go to be something different, something new, my own thing, something that no one has thought of before." Lee Sedol, Go Champion (18 World Titles). "We think of DeepMind as kind of an Apollo program effort for AI. Our mission is to fundamentally understand intelligence and recreate it artificially." Demis Hassabis, Co-Founder & CEO, DeepMind. "The Game of Go is the holy grail of artificial intelligence. Everything we've ever tried in AI, it just falls over when you try the game of Go." Dave Silver, Lead Researcher for AlphaGo.
❤️ Check out Weights & Biases and sign up for a free demo here: 🤍 Try it out now! 🤍 📝 The paper "Gemini: A Family of Highly Capable Multimodal Models" is available here: 🤍 Update - A little more context on some of the results on the hand motion videos: 🤍 📝 My latest paper on simulations that look almost like reality is available for free here: 🤍 Or this is the orig. Nature Physics link with clickable citations: 🤍 John Petrucci - Gemini: - Live: 🤍 - Album version 🤍 Listen to this too! 🤍 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bret Brizzee, Bryan Learn, B Shang, Christian Ahlin, Gaston Ingaramo, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Kenneth Davis, Klaus Busse, Kyle Davis, Lukas Biewald, Martin, Matthew Valle, Michael Albrecht, Michael Tedder, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Putra Iskandar, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: 🤍 Thumbnail background design: Felícia Zsolnai-Fehér - 🤍 Károly Zsolnai-Fehér's research works: 🤍 Twitter: 🤍 #gemini #alphacode
We live in an exciting time when AI research and technology are delivering extraordinary advances. In the coming years, AI — and ultimately artificial general intelligence (AGI) — has the potential to drive one of the greatest transformations in history. We’re a team of scientists, engineers, ethicists and more, working to build the next generation of AI systems safely and responsibly. As a games tester, Sarah creates environments to test and train AI. These “worlds” are the basis for so much of our research, and are setting up the foundations for some of our biggest breakthroughs. In this series, we’ll take you on a journey across our offices, giving you an inside look into the work that we do, and most importantly, introduce you to some of the people that make it all possible. Learn more at deepmind.google/about/careers.
If You Enjoyed This Episode You Will LOVE This One With Mo Gawdat: 🤍 00:00 Intro 02:11 How do you feel emotionally about what's going on with AI? 09:17 What's surprised you most about the last decade? 12:51 I'm scared of this coming wave. 16:04 Is containment possible? 23:53 What will these AI biological beings look like? 27:08 Would we be able to regulate AI? 33:10 In 30 years' time, do you think we would have contained AI? 35:43 Why would such a being want to interact with us? 46:35 Quantum computers & their potential 57:04 Cybersecurity 01:03:38 Why did you build a company in this space knowing the problems? 01:05:55 Will governments help us regulate it? 01:15:29 What do we need to do to contain it? 01:30:10 Do you feel sad about all of this? 01:34:04 Well slowly move more toward AI interactions over human ones. 01:36:01 What should young people be dedicating their lives to? 01:37:53 What happens if we fail in containment, and what happens if we succeed? 01:42:31 The last guest's question You can purchase Mustafa’s book, ‘The Coming Wave: Technology, Power, and the Twenty-First Century's Greatest Dilemma’, here: 🤍 Follow Mustafa: Twitter: 🤍 Join this channel to get access to perks: 🤍 My new book! 'The 33 Laws Of Business & Life' pre order link: 🤍 Follow me: Instagram: 🤍 Twitter: 🤍 Linkedin: 🤍 Telegram: 🤍 Sponsors: Huel: 🤍 Airbnb: 🤍
Google's artificial intelligence company, DeepMind, has developed an AI that has managed to learn how to walk, run, jump, and climb without any prior guidance. The result is as impressive as it is goofy. Read more: 🤍 FACEBOOK: 🤍 TWITTER: 🤍 INSTAGRAM: 🤍 TUMBLR: 🤍
Demis Hassabis is the CEO and co-founder of DeepMind. Please support this podcast by checking out our sponsors: - Mailgun: 🤍 - InsideTracker: 🤍 to get 20% off - Onnit: 🤍 to get up to 10% off - Indeed: 🤍 to get $75 credit - Magic Spoon: 🤍 and use code LEX to get $5 off EPISODE LINKS: Demis's Twitter: 🤍 DeepMind's Twitter: 🤍 DeepMind's Instagram: 🤍 DeepMind's Website: 🤍 Plasma control paper: 🤍 Quantum simulation paper: 🤍 The Emperor's New Mind (book): 🤍 Life Ascending (book): 🤍 PODCAST INFO: Podcast website: 🤍 Apple Podcasts: 🤍 Spotify: 🤍 RSS: 🤍 Full episodes playlist: 🤍 Clips playlist: 🤍 OUTLINE: 0:00 - Introduction 1:01 - Turing Test 8:27 - Video games 30:02 - Simulation 32:13 - Consciousness 37:13 - AlphaFold 50:53 - Solving intelligence 1:03:12 - Open sourcing AlphaFold & MuJoCo 1:13:18 - Nuclear fusion 1:17:22 - Quantum simulation 1:20:30 - Physics 1:23:57 - Origin of life 1:28:36 - Aliens 1:36:43 - Intelligent life 1:39:52 - Conscious AI 1:53:07 - Power 1:57:37 - Advice for young people 2:05:43 - Meaning of life SOCIAL: - Twitter: 🤍 - LinkedIn: 🤍 - Facebook: 🤍 - Instagram: 🤍 - Medium: 🤍 - Reddit: 🤍 - Support on Patreon: 🤍
In recent years, StarCraft, considered to be one of the most challenging Real-Time Strategy (RTS) games and one of the longest-played esports of all time, has emerged by consensus as a “grand challenge” for AI research. Our StarCraft II program AlphaStar is the first Artificial Intelligence to defeat a top professional player. In a series of test matches held on 19 December 2018, AlphaStar decisively beat Team Liquid’s Grzegorz "MaNa" Komincz, one of the world’s strongest professional StarCraft players, 5-0, following a successful benchmark match against his team-mate Dario “TLO” Wünsch. The matches took place under professional match conditions on a competitive ladder map and without any game restrictions. Read more on our blog: 🤍
The inside story of the DeepMind team of scientists and engineers who created AlphaFold, an AI system that is recognised as a solution to "protein folding", a grand scientific challenge for more than 50 years. Find out more: deepmind.com/alphafold Protein references: TBP = To be published 1BYI: Sandalova, T., et al. (1999) Structure of dethiobiotin synthetase at 0.97 A resolution. Acta Crystallographica Section D 55: 610-624. 3NPD: Das, D. et al. (2014) Crystal structure of a putative quorum sensing-regulated protein (PA3611) from the Pseudomonas-specific DUF4146 family. Proteins 82: 1086-1092. 5AOZ: Bule, P., et al. Structural Characterization of the Third Cohesin from Ruminococcus Flavefaciens Scaffoldin Protein, Scab. (TBP) 5ERE: Joachimiak, A. A novel extracellular ligand receptor. (TBP) 5L8E: Dharadhar, S., et al. (2016) A conserved two-step binding for the UAF1 regulator to the USP12 deubiquitinating enzyme. Journal of Structural Biology 196: 437-447. 5M20: Liauw, P., et al. Structure of Thermosynechococcus elongatus Psb32 fused to sfGFP. (TBP) 5W9F: Buchko, G.W., et al. (2018) Cytosolic expression, solution structures, and molecular dynamics simulation of genetically encodable disulfide-rich de novo designed peptides. Protein Science 27: 1611-1623. 6BTC: Mir-Sanchis, I., et al. (2018) Crystal Structure of an Unusual Single-Stranded DNA-Binding Protein Encoded by Staphylococcal Cassette Chromosome Elements. Structure 26: 1144. 6CL6: Buth, S.A., et al. (2018) Structure and Analysis of R1 and R2 Pyocin Receptor-Binding Fibers. Viruses 10. 6CP9: Gucinski, G.C., et al. (2019) Convergent Evolution of the Barnase/EndoU/Colicin/RelE (BECR) Fold in Antibacterial tRNase Toxins. Structure 27: 1660. 6CVZ: Loppnau, P., et al. Crystal structure of the WD40-repeat of RFWD3. (TBP) 6D2V: Clinger, J.A., et al. Structure and Function of Terfestatin Biosynthesis Enzymes TerB and TerC. (TBP) 6E4B: Tan, K., et al. The crystal structure of a putative alpha-ribazole-5'-P phosphatase from Escherichia coli str. K-12 substr. MG1655 (CASP target). (TBP) 6EK4: Brauning, B., et al. (2018) Structure and mechanism of the two-component alpha-helical pore-forming toxin YaxAB. Nature Communications 9: 1806-1806. 6F45: Dunne, M., et al. (2018) Salmonella Phage S16 Tail Fiber Adhesin Features a Rare Polyglycine Rich Domain for Host Recognition. Structure 26: 1573-1582.e4. 6M9T: Audet, M., et al. (2019) Crystal structure of misoprostol bound to the labor inducer prostaglandin E2receptor. Nature Chemical Biology 15: 11-17. 6MSP: Koepnick, B., et al. (2019) De novo protein design by citizen scientists. Nature 570: 390-394. 6N64: Birkinshaw, R.W., et al. Structure of SMCHD1 hinge domain. (TBP) 6N9Y: Kerviel, A., et al. (2019) Atomic structure of the translation regulatory protein NS1 of bluetongue virus. Nature Microbiology 4: 837-845. 6ORI: Spiegelman, L., et al. Enterococcal surface protein, partial N-terminal region (CASP target). (TBP) 6PX4: Krieger, I.V., et al. (2020) The Structural Basis of T4 Phage Lysis Control: DNA as the Signal for Lysis Inhibition. Journal of Molecular Biology 432: 4623-4636. 6QVM: Osipov, E.M., et al. Crystal structure of native O-glycosylated multiheme cytochrome cf with S-layer binding domain. (TBP) 6T1Z: Debruycker, V., et al. (2020) An embedded lipid in the multidrug transporter LmrP suggests a mechanism for polyspecificity. Nature Structural & Molecular Biology 27: 829-835. 6TRI: Rasmussen, K.K., et al. (2020) Revealing the mechanism of repressor inactivation during switching of a temperate bacteriophage. PNAS 117: 20576-20585. 6U7L: Minasov, G., et al. 2.75 Angstrom Crystal Structure of Galactarate Dehydratase from Escherichia coli. (TBP) 6UBL: Kosgei, A.J., et al. Structure of DynF from the Dynemicin Biosynthesis Pathway of Micromonospora chersina. (TBP) 6UK5: Alvarado, S.K., et al. Structure of SAM bound CalS10, an amino pentose methyltransferase from Micromonospora echinaspora involved in calicheamicin biosynthesis. (TBP) 6VR4: Leiman, P.G., et al. Virion-packaged DNA-dependent RNA polymerase of crAss-like phage phi14:2 (CASP target). (TBP) 6X6O: Shi, K., et al. (2020) Crystal structure of bacteriophage T4 Spackle as determined by native SAD phasing. Acta Crystallographica Section D 76: 899-904. 6XBD: Coudray, N., et al. Structure of MlaFEDB lipid transporter reveals an ABC exporter fold and two bound phospholipids. (TBP) 6YA2: Bahat, Y., et al. First structure of a glycoprotein from enveloped plant virus. (TBP) 6YFN: Rumnieks, J., et al. Expansion of the structural diversity of single-stranded RNA bacteriophages. (TBP) 6YJ1: Sobieraj, A., et al. (CASP target) Crystal structure of the M23 peptidase domain of Staphylococcal phage 2638A endolysin. (TBP) 7JTL: Flower, T.G., et al. (2020) Structure of SARS-CoV-2 ORF8, a rapidly evolving coronavirus protein implicated in immune evasion. Biorxiv.
See the full list of gems below, and plenty more synth tips and tricks in my book: ► Patreon: 🤍 Check out prices here (affiliate links help the channel): ► On Sweetwater: 🤍 ► On Thomann: 🤍 ► On Amazon: 🤍 It's always good to check new and used prices on Reverb: ► 🤍 Other places I hang out: ► Instagram: 🤍 ► Facebook: 🤍 ► Twitter: 🤍 ► Web: 🤍 My music: ► Bandcamp: 🤍 ► Spotify: 🤍 ► Apple Music:🤍 TIMELINE: 0:00 Overview 4:00 Main screen 6:20 Oscillators 11:25 Filter 13:45 HPF & boost 14:35 Modulation 15:30 LFOs 17:55 Envelopes 20:35 Curves 22:55 Mod matrix 25:10 Effects 27:10 Arp & Seq 32:00 chords 33:05 VCA 33:30 Settings 33:50 The app 38:10 HIDDEN GEMS 38:15 Gem #1: Note off vel 39:30 Gem #2: Dual pitch as chord, mini-shimmer and harmonizer 41:15 Gem #3: Using effects loops for various types of shimmer 42:25 Gem #4: Freeze function in Vintage Reverb 42:50 Gem #5: Using the Control sequencer as a note sequencer with oscillator separation 47:10 Gem #6: Using the Compare function to morph a preset 48:15 Gem #7: Gain as a sound design tool 48:30 Gem #8: Feedback loops in effects 48:50 Gem #9: Macro controls using the mod matrix 49:15 Gem #10: Sostenuto 50:30 Pros/cons Want to email me personally? ► Ziv (at) loopopmusic.com NOTE: Occasionally I’ll try out affiliate marketing and include affiliate links. This means that I may earn a commission when you click on or make purchases via affiliate links. The content of this clip is entirely my opinion, and was not paid for or dictated in any way by the company creating the gear. Without addressing the particulars of products shown here as they might be under NDA, gear shown on this channel may be either sent by the manufacturer, on loan for review or bought at a discount.
As part of our effort to build increasingly capable and general AI systems, we’re making computing more powerful and sustainable. Our AI models AlphaZero and MuZero are expanding their capabilities to help optimise data centres, streamline video compression, and discover new algorithms to accelerate software. But this is just the beginning: we envision a future where more general-purpose AI tools can help optimise the entire computing ecosystem that powers our digital world. Read our case study: 🤍
👇🏻 Looking for some help and mentoring? 👇🏻 —————————————— 👉🏻 Book a one-on-one call 🤍 In this video, I reveal the resume that got me an interview at Google DeepMind. Additionally, I share 7 simple yet very important tips you can directly apply to your own resume! Enjoy 💛 👇🏻 LaTeX Template for the resume 👇🏻 🤍 👇🏻 How you can help me 👇🏻 🤍 ⬇️ Follow me on my other socials and feel free to DM questions! ⬇️ ⚫⚪ Medium: 🤍 🐦 Twitter: 🤍 #faang #resume #ai
Google DeepMind collaborates with 33 academic labs to unveil the Open X-Embodiment dataset and the RT-X model, aiming to equip robots with broader skillsets for varied tasks. This initiative, highlighting over 500 skills and 150,000 tasks across 22 robot types, seeks to create a vast digital playground, advancing robotic learning and adaptability. By merging cutting-edge technologies like transformer architectures and cross-modal learning, the RT-X model sets a new standard in robotic performance, paving the way for smarter and more efficient autonomous systems in healthcare, smart homes, and industrial settings. Become a Member of the channel and Supporter of AI Revolution → 🤍 #google #ainews
How Google's Deepmind Will Eclipse ChatGPT Google's cutting-edge AI branch, DeepMind, is coming back to ChatGPT with a study project that will change the world. DeepMind wants to beat OpenAI's ChatGPT and build on the success of its first AI masterpiece, AlphaGo, by mixing AlphaGo's strategies with the language skills of models like GPT-4. We are going to talk about how Google's Deepmind will beat ChatGPT today. Welcome to our channel, where we share the most recent advances in artificial intelligence. We cover everything, from robotics to deep learning. Your knowledge and awareness of this quickly changing topic will increase as a result of the insightful and unique viewpoints provided in our films. Do you think we missed anything? If you found this video beneficial, please share it with your friends! Consider subscribing to the channel for informational videos about artificial intelligence and other cool stuff! 🎥 We possess commercial licences for all of the content used in this film, with the exception of bits regarding the topic that were used under fair use, and we edited it entirely. Please contact us through email under the channel's "About" section if you have any complaints or business enquiries. #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience #IntelligentSystems #Automation
The quest for artificial intelligence starts with Space Invaders. Researchers have created a new agent, capable of learning to play dozens of computer games from only minimal information. The work comes from inside the offices of mysterious Google-owned company DeepMind. Nature Video gets a rare glimpse inside. Read the paper here: 🤍
Welcome to our channel where we bring you the latest breakthroughs in AI. From deep learning to robotics, we cover it all. Our videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on our latest videos. Was there anything we missed? (For Business Enquiries) contact🤍theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience #IntelligentSystems #Automation #TechInnovation
#googleDeepMind #artificialintelligence #ai #gemini #google #chatgpt #sundarpichai Google has taken the wraps off from its new AI model, Gemini. This model is designed to behave in human-like ways, better that what other models can achieve. Gemini is a new artificial intelligence model that outperforms other models in tasks like understanding, summarising, reasoning, coding, and planning. It comes in three versions: Pro, Ultra, and Nano. The Pro version is already available, and the Ultra version will be released early next year. Gemini is a large language model (LLM) developed by Google’s DeepMind division. It’s designed to compete with other AI systems like OpenAI’s ChatGPT and possibly outperform them. Key Features of Gemini Multimodal Capabilities Gemini is designed from the ground up to be multimodal, integrating text, images, and other data types. This could allow for more natural conversational abilities. Google showcased the abilities of the AI by conversing with it with the help of a direct video interaction, showing it different objects in real time. Gemini is expected to have a significant impact on the AI industry. It’s Google’s most powerful AI model yet and outperforms OpenAI’s GPT-4. It powers applications and devices like the Bard chatbot and Pixel 8 Pro. Google claims it is one of the first models that has been built as multi-modal LLM from the ground up. That should make interaction more natural and "human-like". - Thank You for watching! Do not forget to Like | Comment | Share - About the channel Watch us for the best news and views on business, stock markets, crypto currencies, consumer technology, the world of real estate, bullion, automobiles, start-ups and unicorns and personal finance. Business Today TV will also bring you all you need to know about mutual funds, insurance, loans and pension plans among others. Follow us at: Website: 🤍 WhatsApp: whatsapp.com/channel/0029Va4Hd309hXFCqY62yD2I Facebook: 🤍 twitter: 🤍 Instagram: 🤍
After 3 years of owning my Behringer DeepMind 12, I decided to dump everything I've learned about this synth into one video. If you're in the market for your first analog polyphonic synthesizer, or you just want one with great value, the DM12 is a fantastic option. Please consider subscribing if you enjoy the video! Contact: jakubdomine (at) gmail.com 00:00 - Intro 02:33 - Overview 09:06 - Patches 16:48 - Tips & Tricks 23:41 - Playing
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Deepmind's New AI GNoME Just Changed EVERYTHING! (Materials Breakthrough) 🤍 Access GPT-4,Claude-2 and more - chat.forefront.ai/?ref=theaigrid Use the best AI Voice Creator - elevenlabs.io/?from=partnerscott3908 Welcome to our channel where we bring you the latest breakthroughs in AI. From deep learning to robotics, we cover it all. Our videos offer valuable insights and perspectives that will expand your knowledge and understanding of this rapidly evolving field. Be sure to subscribe and stay updated on our latest videos. Was there anything we missed? (For Business Enquiries) contact🤍theaigrid.com #LLM #Largelanguagemodel #chatgpt #AI #ArtificialIntelligence #MachineLearning #DeepLearning #NeuralNetworks #Robotics #DataScience
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DeepMind, the AI startup acquired by Google, demos how AI and sports is used to train robots to play soccer (football) for wider potential use cases. Featured on 60 Minutes on Sunday, April 16, 2023. see our blog post for all clips on the 60 Minutes feature of Google and AI: 🤍 follow us on Twitter: 🤍 Podium is a venture fund for sports, entertainment and technology, based in Silicon Valley.
I had a lot of fun chatting with Shane Legg - Founder & Chief AGI Scientist, Google DeepMind! We discuss: - Why he expects AGI around 2028 - How to align superhuman models - What new architectures needed for AGI - Has Deepmind sped up capabilities or safety more? - Why multimodality will be next big landmark - & much more Transcript: 🤍 Apple Podcasts: 🤍 Spotify: 🤍 Twitter: 🤍 Timestamps (0:00:00) - Measuring AGI (0:11:41) - Do we need new architectures? (0:16:26) - Is search needed for creativity? (0:19:19) - Superhuman alignment (0:29:58) - Impact of Deepmind on safety vs capabilities (0:34:03) - Timelines (0:41:24) - Multimodality
❤️ Check out Lambda here and sign up for their GPU Cloud: 🤍 📝 The paper "From Motor Control to Team Play in Simulated Humanoid Football" is available here: 🤍 🤍 My latest paper on simulations that look almost like reality is available for free here: 🤍 Or this is the orig. Nature Physics link with clickable citations: 🤍 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O'Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: 🤍 Thumbnail background design: Felícia Zsolnai-Fehér - 🤍 Károly Zsolnai-Fehér's links: Twitter: 🤍 Web: 🤍
DeepMind GNoME new materials discovered. 🤍 🤍 🤍 🤍 TLDRAW 🤍 🤍 🤍 🤍 Bill Gates vs Steve Jobs Rap Battle 🤍 AlphaFold 🤍 Get on my daily AI newsletter 🔥 🤍 [News, Research and Tutorials on AI] See more at: 🤍 My AI Playlist: 🤍
00:00 Intro 03:05 Demis Hassabis: Founder of DeepMind 14:30 DeepMind: Mission and early years 19:18 Beating the Atari games 27:22 Elon Musk: thoughts on DeepMind 28:42 Elon Musk: AI could destroy humanity 30:20 AlphaGo 36:14 AlphaZero 38:30 MuZero 40:56 WaveNet 43:18 AlphaStar 45:33 AlphaFold 48:39 Gato, A generalist agent 50:02 Solving *everything else* This premium episode is a documentary-style video about the history and importance of Alphabet subsidiary, DeepMind. Demis Hassabis, founder, was a chess prodigy by the time he was 13 years old. He went on to conclude he wanted to "solve intelligence" by building artificial intelligence agents and using digital tools. The team at DeepMind has created systems that defeated the world's best chess and Go professionals. They've also cracked the code on the infamous 'protein-folding problem.' Demis Hassabis and DeepMind are fascinating. Moreover, they're still just getting started. Fantastic interview of Demis Hassabis by Lex Fridman: 🤍 Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes information, shares opinions, and conducts interviews to easily learn about Neuralink and its future. Please consider supporting by joining the channel above, or sharing my other company website with retirees: 🤍 Opinions are our own. Neura Pod receives no compensation from DeepMind or Neuralink and has no affiliation to either company. Scripted/ edited by: Omar Olivares Scripted/ voiced by: Ryan Tanaka #DeepMind #ArtificialIntelligence #Neuralink
❤️ Become The AI Epiphany Patreon ❤️ 🤍 👨👩👧👦 Join our Discord community 👨👩👧👦 🤍 In this video, I share my story on how my journey to DeepMind looked like. I cover some details of my background story, how my ML curriculum looked like, how to get a referral for a top-tier company such as DeepMind, and finally how my final preps looked like. ⌚️ Timetable: 00:00 Intro - I landed a job at DeepMind 01:11 My story 07:16 ML curriculum 14:57 Landing an interview at DeepMind 17:34 Final preps ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💰 BECOME A PATREON OF THE AI EPIPHANY ❤️ If these videos, GitHub projects, and blogs help you, consider helping me out by supporting me on Patreon! The AI Epiphany - 🤍 One-time donation - 🤍 Huge thank you to these AI Epiphany patreons: Eli Mahler Petar Veličković Bartłomiej Danek Zvonimir Sabljic ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 💼 LinkedIn - 🤍 🐦 Twitter - 🤍 👨👩👧👦 Discord - 🤍 📺 YouTube - 🤍 📚 Medium - 🤍 💻 GitHub - 🤍 📢 AI Newsletter - 🤍 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #deepmind #engineering #job
Google's new AI assistant, SGE, combines features from DeepMind and Google Bard to offer life advice, generate creative ideas, and provide personalized learning. Developed with Scale AI Inc., SGE uses the RT-2 model to understand and act on visual and linguistic cues. This advanced AI tool enhances browsing in Chrome, offers tutoring, and promises ethical AI interactions. Become a Member of the channel and Supporter of AI Revolution → 🤍 #google #ai #deepmind
Google DeepMind created an artificial intelligence program using deep reinforcement learning that plays Atari games and improves itself to a superhuman level. It is capable of playing many Atari games and uses a combination of deep artificial neural networks and reinforcement learning. After presenting their initial results with the algorithm, Google almost immediately acquired the company for several hundred million dollars, hence the name Google DeepMind. Please enjoy the footage and let me know if you have any questions regarding deep learning! Recommended for you: 1. How DeepMind's AlphaGo Defeated Lee Sedol - 🤍 2. How DeepMind Conquered Go With Deep Learning (AlphaGo) - 🤍 3. Google DeepMind's Deep Q-Learning & Superhuman Atari Gameplays - 🤍 Subscribe if you would like to see more content like this: 🤍 - Original DeepMind code: 🤍 - Ilya Kuzovkin's fork with visualization: 🤍 - This patch fixes the visualization when reloading a pre-trained network. The window will appear after the first evaluation batch is done (typically a few minutes): 🤍 - This configuration file will run Ilya Kuzovkin's version with less than 1GB of VRAM: 🤍 - The original Nature paper on this deep learning technique is available here: 🤍 - And some mirrors that are not behind a paywall: 🤍 🤍 Web → 🤍 Twitter → 🤍
Subscribe here: 🤍 Become a Patreon!: 🤍 Visual animal AI: 🤍 Hi, welcome to ColdFusion (formally known as ColdfusTion). Experience the cutting edge of the world around us in a fun relaxed atmosphere. Sources: Why AlphaGo is NOT an "Expert System": 🤍 “Inside DeepMind” Nature video: 🤍 “AlphaGo and the future of Artificial Intelligence” BBC Newsnight: 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍forbes.com/sites/privacynotice/2014/02/03/inside-googles-mysterious-ethics-board/#5dc388ee4674 🤍 🤍 🤍 🤍 //Soundtrack// Disclosure - You & Me (Ft. Eliza Doolittle) (Bicep Remix) Stumbleine - Glacier Sundra - Drifting in the Sea of Dreams (Chapter 2) Dakent - Noon (Mindthings Rework) Hnrk - fjarlæg Dr Meaker - Don't Think It's Love (Real Connoisseur Remix) Sweetheart of Kairi - Last Summer Song (ft. CoMa) Hiatus - Nimbus KOAN Sound & Asa - This Time Around (feat. Koo) Burn Water - Hide » Google + | 🤍 » Facebook | 🤍 » My music | t.guarva.com.au/BurnWater 🤍 or » 🤍 » 🤍 » Collection of music used in videos: 🤍 Producer: Dagogo Altraide Editing website: 🤍cfnstudios.com Coldfusion Android Launcher: 🤍 » Twitter | 🤍ColdFusion_TV
Behringer DeepMind 12 - DEMO (No talking) This is Factory presets demo (bank E) SUBSCRIBE TO MY CHANNEL! Recorded without any external FX, directly to Tascam DR-05x (24bit wav). Some factory presets like bass, lead, arps, pads from Behrigner's first synth Deep Mind 12. This is my second contact with this lovely mashine. A lot of potential, great FX, 12 polyphony etc, etc.. Behringer Deep Mind 12 specifications: - 12-Voice Polyphony - 4 FX Engines - 2 OSCs and LFOs per Voice - 3 ADSR Generators - 8-Channel Modulation Matrix - 32-Step Control Sequencer - Arpeggiator with tap tempo - Tablet Remote Control and Built-In Wifi - 49 semi-weighted full-size keys with velocity and after-touch - 26 sliders and one switch per function - 1024 user program memories Behringer DeepMind 12 web page: 🤍 Thanx to Audio Pro Artist (Beograd, Srbija), official Behringer importer for Serbia info🤍audiopro.rs 🤍 🤍 Maksima Gorkog 153, Dušanovac, 11050 Beograd Listen all of my YT synth demos: 🤍 🤍 🤍 🤍 🤍
Mustafa Suleyman, Deepmind co-founder, joins 'Closing Bell' to discuss his book 'The Coming Wave' which discusses the growing risks of A.i. For access to live and exclusive video from CNBC subscribe to CNBC PRO: 🤍 » Subscribe to CNBC TV: 🤍 » Subscribe to CNBC: 🤍 Turn to CNBC TV for the latest stock market news and analysis. From market futures to live price updates CNBC is the leader in business news worldwide. Connect with CNBC News Online Get the latest news: 🤍 Follow CNBC on LinkedIn: 🤍 Follow CNBC News on Facebook: 🤍 Follow CNBC News on Twitter: 🤍 Follow CNBC News on Instagram: 🤍 🤍 #CNBC #CNBCTV
Meet Demis Hassabis, the brilliant mind behind DeepMind. This video shows his awe-inspiring journey from chess prodigy to AI innovator, leaving indelible marks with projects like AlphaGo and AlphaFold. Tune in to understand Hassabis's vision of AGI (Artificial General Intelligence) and his upcoming project, Gemini, which could revolutionize language processing and understanding. #demishassabis #deepmind #ai
15 minute Summary by Michael Redmond 9 dan professional and Chris Garlock on today's historic first match between DeepMind's program AlphaGo take on the legendary Lee Sedol (9-dan pro), the top Go player of the past decade, in a $1M 5-game challenge match in Seoul. In October 2015, AlphaGo became the first computer program ever to beat a professional Go player by winning 5-0 against the reigning 3-times European Champion Fan Hui (2-dan pro). That work was featured in a front cover article in the science journal Nature in January 2016.
#ElonMusk has always warned us about #ArtificialIntelligence (AI) and this is what he thinks about Google's #DeepMind and #AI. . All the clips in the video are taken from the documentary "Do you trust this computer?" by Chris Paine, written by: 🤍 I or this channel does not claim any right over them. . Get the full documentary here: 🤍 . Social Media: Facebook: 🤍 Instagram: 🤍 Twitter: 🤍 . Please Like, Share and SUBSCRIBE to my channel.
The DeepMind Scholars programme gives talented students from underrepresented backgrounds the support they need to study at leading universities, and connect with our researchers and engineers. Scholars get their Masters' fees paid in full, as well as guidance and support from personal DeepMind mentors. Find out more on our website: 🤍 and on our blog: 🤍
Looking to purchase your first synthesizer? Should you choose a polysynth over a mono synth? In today's episode, Jack offers his top 10 reasons why the Behringer DeepMind 12 is the perfect first synthesizer for anyone starting out! | 🤍 » Behringer DeepMind 6 Compact Synthesizer | 🤍 » Behringer DeepMind 12 Desktop Module Synth | 🤍 » Shop our full range of Behringer Synths | 🤍 🎥 Looking to watch something else? Check out our previous episode! » 🤍 ↪️ Episode Guide ↩️ » 0:00 Why Choose The DeepMind 12 As Your First Synth? » 0:15 Reason 1 - It's a Poly Synth » 1:55 Reason 2 - Hands-on Control » 3:40 Reason 3 - The Screen! » 5:52 Reason 4 - It's Analog » 8:55 Reason 5 - The Keyboard » 10:50 Reason 6 - Presets » 13:14 Reason 7 - Effects » 15:45 Reason 8 - Going In-depth » 21:35 Reason 9 - The Price! » 22:46 Reason 10 - The Sound 📱 Why not give us a follow on our social channels? » Instagram | 🤍 » Facebook | 🤍 » Twitter | 🤍 🎸 Want To Jam Along? Check out our Backing Tracks! » 🤍 👕 Buy A T-Shirt 👕 | 🤍 You've watched the videos & seen the store, now join the Andertons Family with our exclusive, official merchandise! With free UK delivery on all orders containing only a T-Shirt, Hoodie or Jumper & super low international shipping costs, there is no better time to be an Andertons fan than now! Make sure to subscribe to Andertons TV for more great videos! Andertons Guitar & Bass YouTube Channel: 🤍 Andertons Synths, Keys & Tech YouTube Channel: 🤍 Andertons Drummers YouTube Channel: 🤍 Andertons Shopping Website: 🤍 #Andertons #Behringer #FirstSynthesizer