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Devil may cry 3 all cutscenes full game movie.
devil may cry 3: Dante's Awakening, released in Japan as Devil May Cry 3 (Japanese: デビル メイ クライ 3 Hepburn: Debiru Mei Kurai Surī), is an action-adventure hack and slash video game directed by Hideaki Itsuno, developed and published by Capcom, released in 2005 for the PlayStation 2 and ported to Microsoft Windows in 2006. The game is a prequel to the original Devil May Cry, with a younger Dante.[3] It introduces new combat mechanics with an emphasis on combos and fast paced action. The story is told primarily in cutscenes using the game's engine, with several pre-rendered full motion videos.
Set a decade before the events of the first Devil May Cry in an enchanted tower, Temen-ni-gru, the story centers on the dysfunctional relationship between Dante and his brother Vergil.
Devil May Cry 3 was widely praised by critics, hailing it as a return to form for the series, yet did receive some criticisms for its high level of difficulty in the North American version. This was later addressed by the release of the rebalanced Special Edition of the game.[4][5]. The game was re‐released in 2006 as Devil May Cry 3: Dante’s Awakening, Special Edition (デビル メイ クライ 3 Special Edition) with retooled difficulty levels, the addition of mid-mission checkpoints, "GOLD mode", and Vergil as a playable character. Combined sales of both versions were over 2.3 million and garnering a review aggregate score of 88% on Gamerankings. It has been cited as one of the greatest video games of all time.
A 2005 manga prequel to Devil May Cry 3's storyline was published in Japan and later the United States.
Prologue Vergil - 00:00
Prologue Vergil - 2 01:36
Prologue - 04:05
Mission 1 Opening - 06:09
Mission 1 Break out - 10:25
Mission 2 Temen-ni-gru - 11:25
Mission 2 Chance Meeting - 12:08
Mission 3 Arkham & Vergil - 13:04
Mission 3 The Lady - 14:50
Mission 3 Cerberus - 15:20
Mission 3 Ice-chucks -16:36
Mission 3 First Contact - 17:31
Mission 4 The Uninvited - 18:43
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Our previous discussions of deep net applications were limited to static patterns, but how can a net decipher and label patterns that change with time? For example, could a net be used to scan traffic footage and immediately flag a collision? Through the use of a recurrent net, these real-time interactions are now possible.
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The Recurrent Neural Net (RNN) is the brainchild of Juergen Schmidhuber and Sepp Hochreiter. The three deep nets we’ve seen thus far – MLP, DBN, and CNN – are known as feedforward networks since a signal moves in only one direction across the layers. In contrast, RNNs have a feedback loop where the net’s output is fed back into the net along with the next input. Since RNNs have just one layer of neurons, they are structurally one of the simplest types of nets.
Like other nets, RNNs receive an input and produce an output. Unlike other nets, the inputs and outputs can come in a sequence. Here are some sample applications for different input-output scenarios:
- Single input, sequence of outputs: image captioning
- Sequence of inputs, single output: document classification
- Sequence of inputs, sequence of outputs: video processing by frame, statistical forecasting of demand in Supply Chain Planning
Have you ever used an RNN in one of your projects before? If so, please comment and tell us about your experience.
RNNs are trained using backpropagation through time, which reintroduces the vanishing gradient problem. In fact, the problem is worse with an RNN because each time step is the equivalent of a layer in a feedforward net. Thus if the net is trained for 1000 time steps, the gradient will vanish exponentially as it would in a 1000-layer MLP.
There are different approaches to address this problem, the most popular of which is gating. Gating takes the output of any time step and the next input, and performs a transformation before feeding the result back into the RNN. There are several types of gates, the LSTM being the most popular. Other approaches to address this problem include gradient clipping, steeper gates, and better optimizers.
GPUs are an essential tool for training an RNN. A team at Indico compared the speed boost from using a GPU over a CPU, and found a 250-fold increase. That’s the difference between 1 day and over 8 months!
A recurrent net has one additional capability – it can predict the next item in a sequence, essentially acting as a forecasting engine.
Credits
Nickey Pickorita (YouTube art) -
https://www.upwork.com/freelan....cers/~0147b8991909b2
Isabel Descutner (Voice) -
https://www.youtube.com/user/IsabelDescutner
Dan Partynski (Copy Editing) -
https://www.linkedin.com/in/danielpartynski
Marek Scibior (Prezi creator, Illustrator) -
http://brawuroweprezentacje.pl/
Jagannath Rajagopal (Creator, Producer and Director) -
https://ca.linkedin.com/in/jagannathrajagopal
この動画では、ニューラルネットワークの歴史を追いながらDeep Learningの基礎についてやさしく解説します。
前回の動画(今Deep Learningに取り組むべき理由)はこちらです。
https://www.youtube.com/watch?v=-Dl8s4iufxI
再生リスト「Deep Learning入門」
https://www.youtube.com/playli....st?list=PLg1wtJlhfh2
Neural Network Console
https://dl.sony.com/ja/
Neural Network Libraries
https://nnabla.org/ja/
Sponsor of the video: http://wandb.me/whats-ai
References:
►Read the full article: https://www.louisbouchard.ai/opt-meta/
►Zhang, Susan et al. “OPT: Open Pre-trained Transformer Language Models.” https://arxiv.org/abs/2205.01068
►My GPT-3's video for large language models: https://youtu.be/gDDnTZchKec
►Meta's post: https://ai.facebook.com/blog/d....emocratizing-access-
►Code: https://github.com/facebookresearch/metaseq
https://github.com/facebookresearch/metaseq/tree/main/projects/OPT
►My Newsletter (A new AI application explained weekly to your emails!): https://www.louisbouchard.ai/newsletter/
Join Our Discord channel, Learn AI Together:
►https://discord.gg/learnaitogether
Chapters:
0:00 Hey! Tap the Thumbs Up button and Subscribe. You'll learn a lot of cool stuff, I promise.
1:34 Sponsor: w&b
2:28 OPT-175B
#GPT3 #OPT #Meta
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Alabanza "Job" interpretada por Gladys Muñoz, perteneciente al sencillo "Job".
Autor y Compositor : Delino Marçal
Traducción al español: Gladys Muñoz
Producción Musical y Arreglos: Esteban Alvarado
Batería: Jimmy Zambrano
Bajo: Antonio Mondaca
Guitarras Eléctricas: Carlos Cabrera
Guitarras Acústicas: Esteban Alvarado
Teclados y Programing: Esteban Alvarado
Arreglos y Grabación de Coros: Cristian Morales
Producción General, Grabación y Mezcla : Rodrigo Carrasco
Mastering: Chalo Gonzalez en Estudios GMasters
Realización Audiovisual: Roy Vargas
Peinados y Asistencia : Isabel Orrego Toloza
℗ Solo por Gracia Producciones
#Job. #GladysMuñoz
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This Edureka video on What is JavaScript explains all the fundamentals of JavaScript with examples. This JavaScript tutorial for beginners also explains various features and applications of JavaScript in the following sequence:
00:00:00 Introduction
00:01:28 Origin of JavaScript
00:03:40 What is JavaScript?
00:05:56 What can JavaScript do?
00:07:02 JavaScript Frameworks
00:08:16 HTML vs CSS vs JavaScript
00:08:59 Benefits of JavaScript
00:10:26 JavaScript Fundamentals
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About Course:
What is the best way to learn JavaScript?
Edureka’s JavaScript Certification Training is the best training module you need to master the technology and look to make a career in it. We also provide a plethora of free tutorials and blogs that will help you get started with JavaScript and cover the basics well.
What are the skills needed to master JavaScript?
There is no such skill-set required to master JavaScript. Having basic functional knowledge of HTML and CSS will be an add-on when you learn JavaScript.
Why take an online JavaScript Certification course? How is it better than an offline course?
Learning pedagogy has evolved with the advent of technology. Online training adds convenience and quality to the training module. With our 24x7 support system, our online learners will have someone to help them all the time even after the class ends. This is one of the driving factors to make sure that people achieve their end learning objective. We also provide life-time access to our updated course materials.
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This Data Science tutorial will help you in understanding what is Data Science, why we need Data Science, the prerequisites for learning Data Science, what a Data Scientist does, the Data Science lifecycle with an example, and career opportunities in the Data Science domain. You will also learn the differences between Data Science and Business intelligence. The role of a data scientist is one of the sexiest jobs of the century. Every day, companies are looking out for more and more skilled data scientists and studies show that there is expected to be a continued shortfall in qualified candidates to fill the roles. So, let us dive deep into Data Science and understand what is Data Science all about.
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This Data Science tutorial for beginners will cover the following topics:
Start (0:00)
1. Need for Data Science? ( 00:50 )
2. What is Data Science? ( 05:55 )
3. Data Science vs Business intelligence ( 11:44 )
4. Prerequisites for learning Data Science ( 16:36 )
5. What does a Data scientist do? ( 24:31 )
6. Data Science life cycle with use case ( 30:17 )
7. Demand for Data scientists ( 47:17 )
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📚Data Science Article: https://bit.ly/30cYbpI
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➡️ Advanced Certificate Program In Data Science
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✅ Skills covered:-
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About the Webinar
Take a look inside a premier AI & machine learning certification program from a world-leading university. We’re sharing the actual learning experience in a one-hour sample lesson from the Caltech AI & Machine Learning Bootcamp.
What You’ll Learn
Join expert instructor Amitendra Srivastava as he presents a lesson on classification models (classifiers). You’ll learn about a key practical aspect of machine learning:
✅ What is Classification?
✅ Terms to Understand
✅ Real-World Applications
✅ Popular Classification Algorithms
✅ Demo of the Hands-On Python Coding Exercise
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Takeaways
✅ Get an introduction to machine learning classification models (classifiers)
✅ Ask Amitendra your questions in a live Q&A
✅ Peek inside the Caltech AI & ML Bootcamp
Amitendra Srivastava
✅ 15+ years of experience in analytics and statistical concepts
✅ Over 3,000 hours of experience in training corporate organizations and individuals
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*AI & Machine Learning Bootcamp:*
The AI and Machine Learning Bootcamp combine Caltech CTME's academic prowess with IBM's industrial ability to help you accelerate your data science career. Statistics, Python, Machine Learning, Deep Learning, Natural Language Processing, and Supervised Learning are all included in this AI and Machine Learning Bootcamp.
*Learning Path*
✅ Induction Session Caltech Artificial Intelligence and Machine learning Bootcamp
✅ CB AIML Introduction to Artificial Intelligence
✅ CB AIML Python for Data Science
✅ CB AIML Applied Data Science with Python
✅ CB AIML Machine Learning
✅ CB AIML Deep Learning with Keras and TensorFlow
✅ CB AIML Advanced Deep Learning and Computer Vision
✅ CB AIML Capstone Project
*Electives:*
✅ CB AIML Statistics Essentials For Data Science
✅ CB AIML NLP and Speech Recognition
✅ CB AIML Reinforcement Learning
✅ Caltech Artificial Intelligence and Machine Learning Bootcamp Masterclass
*Skills Covered:*
✅ Statistics
✅ Python
✅ Supervised Learning
✅ Unsupervised Learning
✅ Recommendation Systems
✅ NLP
✅ Neural Networks
✅ GANs
✅ Deep Learning
✅ Reinforcement Learning
✅ Speech Recognition
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This video will introduce you to SQL Server. The tutorial will give you insights into the usage of SQL Server. You will get to know about SQL Server editions. Further, you will learn about the advantages of SQL Server Instances. The demonstration examples will educate you more on the topic.
The following topics are covered in the tutorial:
What is SQL Server?
Usage of SQL Server
SQL Server Editions
Advantages of SQL Server Instances
Hands-on Demonstration
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SQL Certification Training Course:
Master SQL and improve your career prospects with Simplilearn’s SQL Database Training Course. Functional knowledge of SQL (Structured Query Language), the leading programming language for relational database management systems, is in high demand and can set you apart in the job market. This SQL certification course gives you all of the information you need to successfully start working with SQL databases and make use of the database in your applications. Learn how to correctly structure your database, author efficient SQL statements, and clauses, and manage your SQL database for scalable growth.
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SQL, though an old language, is highly significant today as companies across the world are gathering massive amounts of data for their growth. SQL consistently ranks high in the most-requested tech skills and learning it will add great value to your array of skills.
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This online SQL certification course is ideal for freshers, programmers, software developers, and testing professionals who want to learn SQL. It’s also ideal for marketing professionals and salespeople who want to better understand their company’s data.
Pre-requisites:
There are no prerequisites for this database training course. This course can be taken up by anyone who wants to learn SQL.
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The Excel Tutoring video will help you understand the fundamentals of Microsoft Excel, spreadsheet functionalities, and various crucial functions available in Excel, such as lookup, H lookup, sumif/s, counif/s, iferror, and others. Finally, you will see some most frequently asked interview questions based on Microsoft Excel. So, let's begin.
The Tutorial will cover excel fundamentals.
✅ Multiple Spreadsheets in one workbook
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What is Microsoft Excel?
Excel is one of the best applications for creating spreadsheets to crunch numbers and dashboard reports and storing and administering data. This software first appeared on the scene in 1987, and since then, it has grown to become one of the most popular software for homes or businesses. Excel can be used for data entry to store data in the form of a table, such as recording your daily expenses or business expenditure. It can also be used for inventory management.
Post-Graduate Program in Business Analysis:
Start your business analysis career with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.
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Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using Excel, Power BI, and Tableau.
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Even so come King Jesus!
Learn the basics of reinforcement learning and how to implement it using Gymnasium (previously called OpenAI Gym). Gymnasium is an open source Python library maintained by the Farama Foundation that provides a collection of pre-built environments for reinforcement learning agents. It provides a standard API to communicate between learning algorithms and environments, as well as a standard set of environments compliant with that API.
Reinforcement learning is an area of machine learning concerned with how intelligent agents ought to take actions in an environment in order to maximize the notion of cumulative reward.
💻 Google Colab Notebook (full tutorial code): https://colab.research.google.....com/drive/1oNxRpRnht
Gymnasium documentation: https://gymnasium.farama.org/
✏️ Course developed by @EverythingTechWithMustafa
🔗 Mustaf on LinkedIn: https://www.linkedin.com/in/mu....stafa-esoofally-aab0
⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:04:19) Reinforcement Learning Basics (Agent and Environment)
⌨️ (0:12:15) Introduction to Gymnasium
⌨️ (0:14:59) Blackjack Rules and Implementation in Gymnasium
⌨️ (0:18:27) Solving Blackjack
⌨️ (0:19:46) Install and Import Libraries
⌨️ (0:23:19) Observing the Environment
⌨️ (0:27:55) Executing an Action in the Environment
⌨️ (0:33:01) Understand and Implement Epsilon-greedy Strategy to Solve Blackjack
⌨️ (0:42:28) Understand the Q-values
⌨️ (0:47:29) Training the Agent to Play Blackjack
⌨️ (0:57:10) Visualize the Training of Agent Playing Blackjack
⌨️ (1:04:34) Summary of Solving Blackjack
⌨️ (1:09:57) Solving Cartpole Using Deep-Q-Networks(DQN)
⌨️ (2:29:29) Summary of Solving Cartpole
⌨️ (2:34:07) Advanced Topics and Introduction to Multi-Agent Reinforcement Learning using Pettingzoo
Correction:
00:09 Gymnasium is maintained by the Farama Foundation and is not associated with OpenAI.
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This video on the "Artificial Intelligence full course" video cover all the topics you need to know to become a master in AI and ML. It covers all the basics of Machine Learning, the different types of Machine Learning, and the various applications of Machine Learning used in different industries. This video will also help us understand the basics of artificial intelligence. We will look at the future of AI and listen to some of the industry experts and learn what they have to say about AI. Finally, you will learn the Top 10 Artificial Intelligence Technologies In 2022.
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What is Artificial Intelligence?
Artificial Intelligence is a method of making a computer, a computer-controlled robot, or software think intelligently like the human mind. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. The outcome of these studies develops intelligent software and systems.
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
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IQ is supposed to measure intelligence, but does it? Head to https://brilliant.org/veritasium to start your free 30-day trial, and the first 200 people get 20% off an annual premium subscription.
If you’re looking for a molecular modeling kit, try Snatoms – a kit I invented where the atoms snap together magnetically – https://ve42.co/SnatomsV
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A huge thank you to Emeritus Professor Cecil R. Reynolds and Dr. Stuart J. Ritchie for their expertise and time.
Also a massive thank you to Prof. Steven Piantadosi and Prof. Alan S. Kaufman for helping us understand this complicated topic. As well as to Jay Zagrosky from Boston University's Questrom School of Business for providing data from his study.
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References:
Kaufman, A. S. (2009). IQ testing 101. Springer Publishing Company.
Reynolds, C. R., & Livingston, R. A. (2021). Mastering modern psychological testing. Springer International Publishing.
Ritchie, S. (2015). Intelligence: All that matters. John Murray.
Spearman, C. (1961). " General Intelligence" Objectively Determined and Measured. - https://ve42.co/Spearman1904
Binet, A., & Simon, T. (1907). Le développement de l'intelligence chez les enfants. L'Année psychologique, 14(1), 1-94.. - https://ve42.co/Binet1907
Intelligence Quotient, Wikipedia - https://ve42.co/IQWiki
Radiolab Presents: G. - https://ve42.co/RadioLabG
McDaniel, M. A. (2005). Big-brained people are smarter: A meta-analysis of the relationship between in vivo brain volume and intelligence. Intelligence, 33(4), 337-346. - https://ve42.co/McDaniel2005
Deary, I. J., Strand, S., Smith, P., & Fernandes, C. (2007). Intelligence and educational achievement. Intelligence, 35(1), 13-21. - https://ve42.co/Deary2007
Lozano-Blasco, R., Quílez-Robres, A., Usán, P., Salavera, C., & Casanovas-López, R. (2022). Types of Intelligence and Academic Performance: A Systematic Review and Meta-Analysis. Journal of Intelligence, 10(4), 123. - https://ve42.co/Blasco2022
Kuncel, N. R., & Hezlett, S. A. (2010). Fact and fiction in cognitive ability testing for admissions and hiring decisions. Current Directions in Psychological Science, 19(6), 339-345. - https://ve42.co/Kuncel2010
Laurence, J. H., & Ramsberger, P. F. (1991). Low-aptitude men in the military: Who profits, who pays?. Praeger Publishers. - https://ve42.co/Laurence1991
Gregory, H. (2015). McNamara's Folly: The Use of Low-IQ Troops in the Vietnam War; Plus the Induction of Unfit Men, Criminals, and Misfits. Infinity Publishing.
Gottfredson, L. S., & Deary, I. J. (2004). Intelligence predicts health and longevity, but why?. Current Directions in Psychological Science, 13(1), 1-4. - https://ve42.co/Gottfredson2004
Sanchez-Izquierdo, M., Fernandez-Ballesteros, R., Valeriano-Lorenzo, E. L., & Botella, J. (2023). Intelligence and life expectancy in late adulthood: A meta-analysis. Intelligence, 98, 101738. - https://ve42.co/Izquierdo2023
Zagorsky, J. L. (2007). Do you have to be smart to be rich? The impact of IQ on wealth, income and financial distress. Intelligence, 35(5), 489-501. - https://ve42.co/Zagorsky2007
Strenze, T. (2007). Intelligence and socioeconomic success: A meta-analytic review of longitudinal research. Intelligence, 35(5), 401-426. - https://ve42.co/Strenze2007
Deary, I. J., Pattie, A., & Starr, J. M. (2013). The stability of intelligence from age 11 to age 90 years: the Lothian birth cohort of 1921. Psychological science, 24(12), 2361-2368. - https://ve42.co/Deary2013
Flynn, J. R. (1987). Massive IQ gains in 14 nations: What IQ tests really measure. Psychological bulletin, 101(2), 171. - https://ve42.co/Flynn1987
Why our IQ levels are higher than our grandparents' | James Flynn, TED via YouTube - https://www.youtube.com/watch?v=9vpqilhW9uI
Duckworth, A. L., Quinn, P. D., Lynam, D. R., Loeber, R., & Stouthamer-Loeber, M. (2011). Role of test motivation in intelligence testing. Proceedings of the National Academy of Sciences, 108(19), 7716-7720. - https://ve42.co/Duckworth2011
Kulik, J. A., Bangert-Drowns, R. L., & Kulik, C. L. C. (1984). Effectiveness of coaching for aptitude tests. Psychological Bulletin, 95(2), 179. - https://ve42.co/Kulik1984
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Written by Derek Muller, Casper Mebius, & Petr Lebedev
Edited by Trenton Oliver
Filmed by Derek Muller, Han Evans, & Raquel Nuno
Animation by Fabio Albertelli & Ivy Tello
Additional video/photos supplied by Getty Images & Pond5
Music from Epidemic Sound
Produced by Derek Muller, Casper Mebius, & Han Evans
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«Параллельные линии не пересекаются». Знакомо?
А знакома ли вам другая мысль? Евклид писал (только вчитайтесь): если прямая, падающая на две другие прямые, образует внутренние и по одну сторону углы, каждый из которых будет меньше 90 градусов, то эти две прямые, продолженные неограниченно, рано или поздно встретятся с той стороны, где углы меньшие двух прямых.
Почему он так написал? Эта загадка мучила математиков 2 000 лет. Пытаясь доказать или опровергнуть эту мысль, они изобрели неевклидову геометрию и помогли развитию науки, а также понимаю того, как устроена Вселенная. Подробно и, надеемся, понятно об этом рассказывает Дерек Маллер в новом видео от Veritasium.
А, и не забывайте поддерживать нас
Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Елизавета Миронова
Озвучка: Дмитрий Чепусов, Алексей Майоров
Монтаж звука: Андрей Фокин
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Озвучки Vert Dider выходят с вашей помощью:
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#vertdider #veritasium
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© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=lFlu60qs7_4
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Перевод: Елена Смотрова
Редактура: Алексей Малов
Озвучка: Дмитрий Чепусов, Алексей Никитин, Владимир Курдов
Монтаж звука: Андрей Фокин, Александр Штанг
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков
Спасибо за поддержку на https://www.patreon.com/VertDider и https://boosty.to/vertdider
Озвучки Vert Dider выходят с вашей помощью:
Pavel Dunaev, Mikhail Stolpovskiy, Sergey Zhukov, Amir, Мikhail Samin, Куляш, Oleg Zingilevskiy, opperatius, Mykola Korniichuk, Vitaliy Vachynyuk, Таисия, Eugene Tsaplin, Anatoly Ressin, Ника Калмыкова, Pavel Parpura, Anton Bolotov, Katoto Chan, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Kirill Zaslavskii, Oleksandr Hrebeniuk, Timur Sattarov, Victor Cazacov, VEG, Vladimir Sharich, Morock_D, Alexander Goida, Maxim Korotkov, Alex Kulakov, Anna Ostrovskaya, Leonid Steinberg, Lexx, Nikrodol, Rashn, Виктор Харламов, Шурик Самара, Artem Piskarev, Artem Sobolenkov, Being of Whiteout, Cyril Anonimov, MaximML , Timophey Popov, asdadasa, dv0, pervprog, Арс Ник, Глеб Кочергин, Дмитрий Казанов, Никита Омельницкий, Никита Цикалин, Тимур Абдуллин.
#vertdider #veritasium
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Как спонтанный порядок возникает из хаоса? Дерек расскажет про явления синхронизации в нашей жизни. На примере с резонансом на новеньком мосту в Лондоне в 2000м году, когда, казалось бы, все проектировщики в курсе про то, как синхронный марш может разрушить мост. Объяснит, как синхронизируются метрономы на подвижной платформе. Как идеально соотносятся периоды вращения спутников вокруг планет на примере Юпитера. Про реакцию Белоусова-Жаботинского, как яркий пример химической автоколебательной реакции. А также как понимание явления синхронизации может помочь при сердечных аритмиях. И что помимо применения редукционизма науке важно научиться объединять составные части явлений и понимать их работу, как единого целого, которая обычно не равна просто сумме его частей.
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