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The biggest problems in the world might be solved by tiny molecules unlocked using AI. Take your big idea online today with https://ve42.co/hostinger - code VE at checkout.
A huge thank you to John Jumper and Kathryn Tunyasuvunakool at Google Deepmind; and to David Baker and the Institute for Protein Design at the University of Washington for their invaluable expertise and explanations.
We’re incredibly grateful to Juanita Bagawan and Lucie Kerley at Google Deepmind, and Ian C. Haydon at the UW Institute for Protein Design for their assistance with some of the animation and imagery used in this video.
Special thanks to those at Google DeepMind Production Studios for their help interviewing John Jumper:
Director - Bernardo Resende
Director of Photography - Robert Messere
Senior Audio Technician - Perry Rogantin
Senior Production Coordinator - Sarah Ellen Morton
Studio Manager - Nicholas Duke
For more on this topic head over to our Patreon for the exclusive extended interview https://www.patreon.com/posts/patreon-with-cut-122274530?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link
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0:00 How to determine protein structures
3:50 Why are proteins so complicated?
5:34 The CASP Competition and Deep Mind
9:08 How does Alphafold work?
12:06 3 ways to get better AI
14:24 What is a Transformer in AI?
17:15 The Structure Module
18:35 Alphafold 2 wins the Nobel Prize
20:36 Designing New Proteins - RF Diffusion
22:58 The Future of AI
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Try Snatoms! A molecular modelling kit I invented where the atoms snap together.
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References and Credits:
How AI Revolutionized Protein Science, but Didn’t End It. (Jun 2024) via Quanta Magazine - https://ve42.co/airev
Jumper, J., Evans, R., Pritzel, A. et al. (Jul 2021). Highly accurate protein structure prediction with AlphaFold. Nature - https://ve42.co/alphafoldtwo
Senior, A.W., Evans, R., Jumper, J. et al. (Jan 2020). Improved protein structure prediction using potentials from deep learning. Nature - https://ve42.co/alphafold
R Zwanzig, A Szabo, B Bagchi (Jan 1992). Levinthal's paradox. PMC, National Institute of Health - https://ve42.co/levparadox
Khatib, F., DiMaio, F., Foldit Contenders Group. et al. (Sept 2011). Crystal structure of a monomeric retroviral protease solved by protein folding game players. Nature - https://ve42.co/proteinfoldingsolved
DeepMind co-founder: Gaming inspired AI breakthrough. (Dec 2020) via BBC - https://ve42.co/aibreakthrough
3Blue1Brown. (Apr 2024). Transformers (how LLMs work) explained visually | DL5 via Youtube - https://ve42.co/transformers
AlphaFold impact stories. via Deepmind Blog - https://ve42.co/foldimpact
Quanta Magazine. (Oct 2024). How AI Cracked the Protein Folding Code and Won a Nobel Prize via Youtube - https://ve42.co/proteinfolding
Looking Glass Universe. (Apr 2024). how AlphaFold *actually* works via Youtube - https://ve42.co/foldworks
Google DeepMind. (Nov 2020). AlphaFold: The making of a scientific breakthrough via Youtube - https://ve42.co/alphafoldvideo
Nobel Prize. (Dec 2024). 2024 Nobel Prize lectures in chemistry | David Baker, Demis Hassabis and John Jumper via Youtube - https://ve42.co/nobelchem
The AlphaFold2 Method Paper: A Fount of Good Ideas. (Jul 2021) via moalquraishi.wordpress - https://ve42.co/Alphafoldpaper
Why Don't We Have More Protein-Protein Drug Molecules? (Dec 2009) via Science - https://ve42.co/proteindrugmol
Data sonification. via Carla Scaletti - https://ve42.co/datasonification
Images & Video:
Available here - https://ve42.co/alphafoldvisuals
And if you want to learn more about how we have been making antivenom check out our previous video How Horses Save Humans From Snakebites - https://ve42.co/veantivenom
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Special thanks to our Patreon supporters:
Adam Foreman, Albert Wenger, Alexander Tamas, Anton Ragin, Autodidactic Studios, Bertrand Serlet, Blake Byers, Bruce, Dave Kircher, David Johnston, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, Greg Scopel, I. H., Juan Benet, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Matthias Wrobel, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Spilmann Reed, Tj Steyn, TTST, Ubiquity Ventures, wolfee
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Directed by Sumeet Kulkarni
Written by Sumeet Kulkarni, Derek Muller and Zoe Heron
Edited by Jack Saxon
Animated by Ivy Tello, Emma Wright, Andrew Neet and Fabio Albertelli
Illustrated by Jakub Misiek
Filmed and demos done by Sumeet Kulkarni
Additional research by Geeta Thakur, Vincent Cheng and Emilia Gyles
Produced by Sumeet Kulkarni, Derek Muller, Zoe Heron, Rob Beasley Spence and Tori Brittain
Thumbnail contributions by Ren Hurley, Peter Sheppard and Ben Powell
Additional video/photos supplied by Getty Images and Storyblocks
Music from Epidemic Sound
The 100 Prisoners Riddle feels completely impossible even once you know the answer. This video is sponsored by Brilliant. The first 200 people to sign up via https://brilliant.org/veritasium get 20% off a yearly subscription.
Special thanks to Destin of Smarter Every Day (https://ve42.co/SED), Toby of Tibees (https://ve42.co/Tibees), and Jabril of Jabrils (https://ve42.co/Jabrils) for taking the time to think about this mind bending riddle.
Huge thanks to Luke West for building plots and for his help with the math.
Huge thanks to Dr. Eugene Curtin and Dr. Max Warshauer for their great article on the problem and taking the time to help us understand it: https://ve42.co/CurtinWarshauer
Thanks to Dr. John Baez for his help with finding alternate ways to do the calculations.
Thanks to Simon Pampena for his input and analysis.
Other 100 Prisoners Riddle videos:
minutephysics: https://www.youtube.com/watch?v=C5-I0bAuEUE
Vsauce2: https://www.youtube.com/watch?v=kOnEEeHZp94
Stand-up Maths: https://www.youtube.com/watch?v=a1DUUnhk3uE
TED-Ed: https://www.youtube.com/watch?v=vIdStMTgNl0
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References:
Original paper: Gál, A., & Miltersen, P.B. (2003). The Cell Probe Complexity of Succinct Data Structures. BRICS, Department of Computer Science, University of Aarhus. All rights reserved. – https://ve42.co/GalMiltersen
Winkler, P. (2006). Seven Puzzles You Think You Must Not Have Heard Correctly. – https://ve42.co/Winkler2006
The 100 Prisoners Problem – https://ve42.co/100PWiki
Golomb, S. & Gaal, P. (1998). On the Number of Permutations on n Objects with Greatest Cycle Length k. Advances in Applied Mathematics, 20(1), 98-107. – https://ve42.co/Golomb1998
Lamb, E. (2012). Puzzling Prisoners Presented to Promote North America's Only Museum of Math. Observations, Scientific American. – https://ve42.co/Lamb2012
Permutations – https://ve42.co/PermutationsWiki
Probability that a random permutation of n elements has a cycle of length k greater than n/2, Math SE. – https://ve42.co/BaezProbSE
Counting Cycle Structures in Sn, Math SE. – https://ve42.co/CountCyclesSE
What is the distribution of cycle lengths in derangements? In particular, expected longest cycle, Math SE. – https://ve42.co/JorikiSE
The Manim Community Developers. (2021). Manim - Mathematical Animation Framework (Version v0.13.1). – https://www.manim.community/
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Special thanks to Patreon supporters: RayJ Johnson, Brian Busbee, Jerome Barakos M.D., Amadeo Bee, Julian Lee, Inconcision, TTST, Balkrishna Heroor, Chris LaClair, Avi Yashchin, John H. Austin, Jr., OnlineBookClub.org, Matthew Gonzalez, Eric Sexton, john kiehl, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Dumky, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Timothy O’Brien, Mac Malkawi, Michael Schneider, jim buckmaster, Juan Benet, Ruslan Khroma, Robert Blum, Richard Sundvall, Lee Redden, Vincent, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi, Ron Neal
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Written by Derek Muller and Emily Zhang
Filmed by Derek Muller and Petr Lebedev
Animation by Ivy Tello and Jesús Rascón
Edited by Trenton Oliver
Additional video/photos supplied by Getty Images
Music from Epidemic Sound and Jonny Hyman
Thumbnail by Ignat Berbeci
Produced by Derek Muller, Petr Lebedev, and Emily Zhang
Least Common Multiple: Basic Method
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Learn about John Deere in this biography for kids! Kids will learn all about John Deere and his times. Learn why he was such an amazing inventor and changed farming forever!
Homeschool Pop offers a unique, dynamic learning experience. We strive to have the right balance of silliness and learning to keep students engaged as we look at the life of John Deere in this biography.
We hope you enjoyed the classroom edition of the John Deere video! Thanks for watching, and we hope you will keep watching and learning. You are awesome!
John Deere Biography for Kids | Classroom Video
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In diesem Tutorial erfahren Sie, wie Sie mit wenigen Klicks Pivot-Tabellen in #GoogleSheets erstellen können, um so Ihre Daten einfacher zu strukturieren und bestimmte Auswertungen im Handumdrehen durchzuführen.
Google Sheets oder auf Deutsch auch Google Tabellen genannt, ist eine Anwendung für Tabellenkalkulationen ähnlich wie Microsoft Excel und Teil von Google Workspace, dem professionellen Office-Paket von Google für Unternehmen.
Weitere Infos zu Google Sheets und Google Workspace: https://google.seibert-media.net
Herzlich Willkommen zurück! In diesem Video zeige ich dir im Rahmen meiner Statistik Serie in Google Sheets, wie du Daten normieren kannst. Auch bekannt als Standardisierung oder z-Werte.
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0:30 Vorbereitungen
2:22 z-Werte berechnen (Formel)
2:50 Benannte Funktion zur Berechnung
3:30 z-Werte berechnen
4:39 Vorteile der z-Werte
5:30 Fazit & Schluss
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Activities of GeoGebra 👇
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#Geogebratutorial #geogebra #constructionbygeogebra #appletbygeogebra #sunitagupta #sunitaguptamaths #colorful #animation #animationbygeogebra #howtomakecolorfulanimationbygeogebra #HowtoconstructcolorfulanimationbyGeoGebra
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This video will demonstrate how to properly install GeoGebra Classic 6 on your Windows or Mac device using the new layout for the GeoGebra website
Here's my first impressions of Deepseek R1. We check out the web interface, as well as running some local models with Ollama.
https://www.deepseek.com/
https://ollama.com/library/deepseek-r1
00:00 Introduction
01:10 First Simple Prompt
01:52 Write a Poem
02:50 Write some Python Code
04:49 Translate English to Spanish
05:18 Summarize an Article
07:28 Write Hello World in Assembler
08:41 Build Hello World app from DeepSeek Code
10:25 Write a short story
11:41 Tell me what to pack for a hike
14:59 Run models locally with Ollama
15:37 Run 70B parameter model - Ollama
17:13 What should I pack - Ollama
17:34 70B Results - Ollama
18:59 Run 32B parameter model - Ollama
19:44 32B Results - Ollama
21:00 Run 1.5B parameter model - Ollama
22:25 Conclusion
DeepSeek has released DeepSeek-R1, an open-source AI model that matches the performance of OpenAI's o1 in reasoning, math, and coding tasks. This model, under an MIT license, allows for free use, modification, and commercialization, significantly reducing costs by using pure reinforcement learning. DeepSeek-R1 has shown competitive or superior results in benchmarks like MMLU, Codeforces, and GPQA. The release has sparked discussions on the implications for AI regulation, the economic impact on proprietary models, and the potential for open-source AI to advance rapidly. It's now integrated into platforms like OpenRouter and available for public evaluation, highlighting its practical applications and community engagement.
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In todays video we look at Chinas version of o1 and more details on ChatGPT Operator.
Links:
https://chat.deepseek.com/
https://api-docs.deepseek.com/quick_start/pricing/
https://deepmind.google/techno....logies/gemini/flash-
https://www.perplexity.ai/hub/....blog/introducing-the
https://runwayml.com/worlds-of-frames
https://klingai.com/release-notes
https://lumalabs.ai/ray
https://huggingface.co/spaces/tencent/Hunyuan3D-2
Chapters:
0:00 What’s New?
0:31 DeepSeek-R1
3:44 Sam Altman’s Tweet
4:47 ChatGPT Operator & o3-mini
7:54 Gemini 2.0 Flash Thinking Experimental
8:42 Perplexity Sonar
9:40 Runway Frames
12:10 Kling AI Elements
12:48 Luma AI Ray2
13:56 Hunyuan 3D Generator
15:04 Message for Viewers
#ainews #newsyoucanuse
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Ready to meet the “GPT4o Killer” from China? In this video, we’ll build a full‑stack application using the DeepSeek V3 API.
Ready or not, artificial intelligence is coming.
Artificial intelligence tools are evolving faster than ever, and schools are struggling to keep up. The technology is raising questions about what counts as original work and what it means to cheat. Hear how students and teachers feel about new AI tools, like ChatGPT.
This piece was edited by youth media producer Chris Schwalm.
Students in this piece are from Westwood High School in Austin, Texas, West Ranch High School in Stevenson Ranch, California, Attleboro High School in Attleboro, Massachusetts, Independence High School in San Francisco, California, Beaverton Academy of Science and Engineering in Hillsboro, Oregon, Haldane High School in Cold Spring, New York, Lincoln High School in Lincoln, Rhode Island, and Cape May County Technical High School, in Cape May, New Jersey.
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#chatgpt #chatgptexamples #ai #artificialintelligence
@TheMerrillsEDU share five different AI tools that you can use in your classroom starting tomorrow!
0:00 - Intro
0:15 - CoPilot Education
2:08 - Curipod
3:03 - Deep Nostalgia
4:26 - Synthesia
5:38 - Murf.AI
Check out our blog post on this same topic:
https://www.themerrillsedu.com..../blog-1/2023/2/17/ho
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Website:
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#ai #education #edtech #teacher #classroom #interactive #teaching #technology #contentcreator #teachers #educational #copilot #copiloteducation #curipod #synthesia #deepnostalgia #murfai #teach
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ต้องการเรียนรู้วิธีการนำเทคโนโลยีมาประยุกต์ใช้ในห้องเรียน? มาเทรนแบบออนไลน์กับ Google for Education Training Center ในรูปแบบภาษาไทย เมื่อคุณพร้อม คุณสามารถทำแบบทดสอบและได้รับการรับรองจาก Google เริ่มการพัฒนาวันนี้ที่ https://g.co/edutrainingcenter
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We’re back with more news! Join Morgan on the latest monthly episode of EDU in 90 to hear about read along, back to school toolkits, and more.
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This is a short video that demonstrates a simple and quick mental math trick for multiplying two-digit numbers with identical digits by a single-digit number (e.g., 55 x 3 or 22 x 6).
The method is as follows:
Multiply the repeating digit by the other number in the problem. For example, for 55 x 3, you calculate 5 x 3 = 15.
To find the result, write the number from step 1 twice, like 15 15.
Take the first digit of the first number (1) and place it at the beginning of your answer.
Add the second digit of the first number (5) to the first digit of the second number (1). This gives you the middle digit of your answer (5 + 1 = 6).
Take the second digit of the second number (5) and place it at the end of your answer.
This process quickly gives you the final answer: 165.
The video shows this method with the following examples:
55 x 3 = 165
22 x 6 = 132
77 x 5 = 385
33 x 7 = 231
99 x 4 = 396
44 x 8 = ? (The video does not show the final answer for this problem).