Nikon Z 9による8K UHD/30p、H.265、10bit、N-logでの撮影動画を掲載します。

■主な使用機材
Nikon Z 9
NIKKOR Z 14-24mm f/2.8 S
NIKKOR Z 24-70mm f/2.8 S
NIKKOR Z 70-200mm f/2.8 VR S
NIKKOR Z 50mm f/1.2 S
NIKKOR Z 100-400mm f/4.5-5.6 VR S
ARCREST NDフィルター　ND8/ND16/ND32

■撮影
上田晃司(フォトグラファー/映像作家)

・コメント
Nikon Z 9の8K UHD/30pで上高地周辺を撮影した。Nikon Z 9とZレンズ群による美しいディテールの表現、立体感、シャープさを是非8Kで見ていただきたい。

8K収録時もすべてAF撮影を行い、シビアなピントが求められる8K撮影においても
Nikon Z 9のAFは答えてくれた。また、フォーカスブリージングの少なさにも是非注目してほしい。
ピントが自然に移動していくのでピントが動いていることすら感じない自然な表眼ができるのもNikon Z 9とZレンズのコンビネーションの良さと言えるだろう。

■Z 9 製品ページ　#Z9
https://www.nikon-image.com/pr....oducts/mirrorless/li

■Z 9スペシャルコンテンツページ
https://www.nikon-image.com/sp/z9/

■Zマウントレンズ製品ページ　#NIKKORZ
https://www.nikon-image.com/pr....oducts/nikkor/zmount

■レンズフィルター　ARCREST製品ページ
https://www.nikon-image.com/pr....oducts/accessory/nik
===========

ニコン製品は公式オンラインショップの
ニコンダイレクトからご購入いただけます。

https://shop.nikon-image.com/?cid=JDONS01245

ニコンの製品情報など動画を公開しています。
チャンネル登録をお願いします。

■ニコンイメージングジャパン公式YouTubeチャンネル
https://www.youtube.com/user/NikonImagingJapan

■ニコン　Facebookページ
https://www.facebook.com/NikonImagingJapan

■ニコンイメージングジャパン WEBページ
https://www.nikon-image.com

With so many alternatives available, why are neural nets used for Deep Learning? Neural nets excel at complex pattern recognition and they can be trained quickly with GPUs.

Deep Learning TV on
Facebook: https://www.facebook.com/DeepLearningTV/
Twitter: https://twitter.com/deeplearningtv

Historically, computers have only been useful for tasks that we can explain with a detailed list of instructions. As such, they tend to fail in applications where the task at hand is fuzzy, such as recognizing patterns. Neural Networks fill this gap in our computational abilities by advancing machine perception – that is, they allow computers to start to making complex judgements about environmental inputs. Most of the recent hype in the field of AI has been due to progress in the application of deep neural networks.

Neural nets tend to be too computationally expensive for data with simple patterns; in such cases you should use a model like Logistic Regression or an SVM. As the pattern complexity increases, neural nets start to outperform other machine learning methods. At the highest levels of pattern complexity – high-resolution images for example – neural nets with a small number of layers will require a number of nodes that grows exponentially with the number of unique patterns. Even then, the net would likely take excessive time to train, or simply would fail to produce accurate results.

Have you ever had this problem in your own machine learning projects? Please comment.

As a result, deep nets are essentially the only practical choice for highly complex patterns such as the human face. The reason is that different parts of the net can detect simpler patterns and then combine them together to detect a more complex pattern. For example, a convolutional net can detect simple features like edges, which can be combined to form facial features like the nose and eyes, which are then combined to form a face (Credit: Andrew Ng). Deep nets can do this accurately – in fact, a deep net from Google beat a human for the first time at pattern recognition.

However, the strength of deep nets is coupled with an important cost – computational power. The resources required to effectively train a deep net were prohibitive in the early years of neural networks. However, thanks to advances in high-performance GPUs of the last decade, this is no longer an issue. Complex nets that once would have taken months to train, now only take days.

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
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

Facebook →http://bit.ly/FacebookGladysMunoz
Spotify → http://bit.ly/GladysMunoz
Web → http://www.gladysmunoz.com

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

🔥 𝐄𝐝𝐮𝐫𝐞𝐤𝐚 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐓𝐫𝐚𝐢𝐧𝐢𝐧𝐠 𝐂𝐨𝐮𝐫𝐬𝐞: https://www.edureka.co/javascr....ipt-certification-tr
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

🔴 Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV


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⏩ NEW Top 10 Technologies To Learn In 2023 - https://youtu.be/udD_GQVDt5g

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📌𝐌𝐞𝐞𝐭𝐮𝐩: https://www.meetup.com/edureka/
📌𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐲: https://www.edureka.co/community/

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 )

To learn more about Data Science, subscribe to our YouTube channel: https://www.youtube.com/user/S....implilearn?sub_confi

📚Data Science Article: https://bit.ly/30cYbpI

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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
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✅ Live Virtual Classes
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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
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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

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✅ CB AIML Statistics Essentials For Data Science
✅ CB AIML NLP and Speech Recognition
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✅ Python
✅ Supervised Learning
✅ Unsupervised Learning
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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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NVIDIA ACE for Games is a new foundry for intelligent in-game characters powered by generative AI. Developers of middleware, tools, and games can use NVIDIA ACE for Games to build and deploy customized speech, conversation, and animation AI models in their software and games.

Watch our NVIDIA Kairos demo, showcasing how NVIDIA partnered with Convai to help optimize and integrate ACE for Games modules into an immersive and dynamic interaction with a non playable character named Jin. The demo is also enhanced with ray tracing and performance multiplying NVIDIA DLSS 3.

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In this R Programming Full Course In 7 Hours video, we'll learn about What is R, variables, and data types in R. This R Programming for Beginners is the ideal video for anyone starting with R Programming and Data Analysis. We'll Understand Data Handling, Manipulation, and Visualization in R. So, let's get started with this R Tutorial!

Dataset Link - https://drive.google.com/drive..../folders/1Wn2TRSbM2C

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What is R Programming
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Logical Operators
Vectors
List
Matrix
Data Frame
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Designed to boost your career as an AI and ML professional, this program showcases Caltech CTME's excellence and IBM's industry prowess. The artificial intelligence course covers key concepts like Statistics, Data Science with Python, Machine Learning, Deep Learning, NLP, and Reinforcement Learning through an interactive learning model with live sessions.

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This Data Engineer Full Course video explains What Is Big Data, How to become a Data Engineer, skills required for Data engineering jobs, Big Data applications, introduction to Hadoop, Hadoop ecosystem, Spark, and top Hadoop interview questions. So, let's get started with this Data Tutorial For Beginners!

Below are the topics covered in this video
00:00:00 Data Engineer Crash Course
00:03:44 What is Big Data?
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00:24:24 Data Engineer Certifications
00:29:03 Top skills for Data Engineer
00:35:03 Reasons to become data engineer
00:41:32 Hadoop Ecosystem
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Fast-track your career as a Data Engineering professional with our Data Engineering course. This course covers Big Data and Data Engineering concepts, the Hadoop ecosystem, Apache Python basics, AWS EMR, Quicksight, Sagemaker, the AWS cloud platform, and Azure services.

✅ Skills Covered
- Real Time Data Processing
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- Implementing Security Requirements
- Data Protection
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✅ Tools Covered
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- MongoDB
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- Apache spark
- Data Bricks
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Finally understand pointers in C in this course for absolute beginners. Pointers are variables that store the memory address of another variable. They "point" to the location of data in memory. With a bunch of examples, this course demystifies pointers and their various uses, covering topics such as passing by reference vs. value, void pointers, arrays, and more.

✏️ Course created by @onaecO

⭐️ Contents ⭐️
(0:00:00) Introduction
(0:00:39) What is a computer eli5 CPU, RAM, bytes
(0:08:04) Data Types
(0:13:31) Intro to processes
(0:16:44) process memory layout
(0:19:17) Variables in memory
(0:23:01) Naive change_value program
(0:28:05) Change_value with pointers
(0:33:03) The classic swap
(0:34:05) Why declaration and dereference have the same syntax for pointers?
(0:38:39) Advantages of passing by reference va passing by value
(0:45:26) Why do pointers to different data types have the same size?
(0:47:49) Given that pointers have all the same size, why do we need a pointer type?
(0:58:16) void pointers are confusing
(1:00:14) why malloc is handy and more on void*
(1:09:09) Are arrays just pointers?
(1:25:00) Array Decay into a pointer
(1:32:59) why array decay is useful?
(1:37:49) arr[5] == 5[arr]
(1:39:04) pointers to pointers: **argv
(1:47:11) *argv[] or **argv?
(1:52:41) pointer to functions
(1:59:02) use case with pointers to functions

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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--

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Read hundreds of articles on programming: https://freecodecamp.org/news

Improve your Python and Pygame skills by building the classic pong game, but this time with extra features. This beginner's tutorial is a great way to start learning how to create engaging games with unique mechanics.

✏️ Course created by @SMDS_Studio

💻 Code: https://github.com/SMDS-Studio..../Building-a-New-crea

⭐️ Contents ⭐️
(00:00) Intro
(01:09) Agenda of the course
(02:04) Traditional pong
(26:09) Creative angles
(30:21) Smash element
(38:03) Flash element
(41:10) Ball cloning
(51:51) Paddle cloning
(1:01:55) End screen element

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan

--

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Read hundreds of articles on programming: https://freecodecamp.org/news

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The Artificial Intelligence Course video by Simplilearn mainly focuses on the Artificial Intelligence Tutorial for Beginners 2023, which covers an introduction to artificial intelligence, the definition of artificial intelligence, the basics of artificial intelligence, the types of artificial intelligence, applications, and examples of artificial intelligence. This AI Tutorial video reveals the full Artificial Intelligence Course for beginners.

✅ 00:00 Artificial Intelligence Tutorial For Beginners 2023

✅ 00:01 - What is Artificial Intelligence?
This phase of the video picturizes the basics of Artificial Intelligence and its role in problem-solving.

✅ 05:28 - Introduction to Artificial Intelligence
This part of the video phase uncovers the definition of Artificial Intelligence and the relationship between Artificial Intelligence and Data Science.

✅ 19:14 - Future of Artificial Intelligence
This part of the video covers statements of great personalities about the future of AI and upcoming projects on Artificial Intelligence.

The term artificial intelligence was first coined by John McCarthy in the 1950s.McCarthy established a lab for artificial intelligence at Stanford University, where he developed the first iterations of a self-driving car.

Artificial intelligence is a technique of turning a computer-based robot to work and act like humans.
Siri, Alexa, recommendations from companies like Flipkart and Amazon, and self-driving cars like Tesla. All this work is based on AI.

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✅ Watch More Videos On Artificial Intelligence By Simplilearn: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULyr_

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➡️ 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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- Post Graduate Program certificate and Alumni Association membership
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🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

We visited the US Navy to test the best night vision goggles in the world. 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, head to https://ve42.co/SnatomsV to try Snatoms – a kit I invented where the atoms snap together magnetically.

Huge thanks to Dr. Ben Conley and the entire team at the Naval Surface Warfare Center, Crane Division. You can check out more of their work here: https://www.navsea.navy.mil/Ho....me/Warfare-Centers/N
Or their YouTube channel here: https://www.youtube.com/NSWCCraneDivision

▀▀▀
Video References:
Tyson, J. (2001). How Night Vision Works. How Stuff Works. – https://ve42.co/HSWNightVision
Montoro, H. P. Image Intensification: The Technology of Night Vision. Photonics. – https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks via YouTube – https://ve42.co/HSWVideo
Photonis via YouTube – https://ve42.co/Photonis
Operator Drewski via YouTube – https://ve42.co/NVGaming
Night-vision device via Wikipedia – https://ve42.co/NVWiki
Image intensifier via Wikipedia – https://ve42.co/Intensifier
Lodriguss, J. How Digital Cameras Work. AstroPix. –https://ve42.co/AstroPix
Kinka-Byo. (2019). What is the physical cause of increasing noise at high ISO? StackExchange. – https://ve42.co/PhotoISO
Macias, A. (2015). The secret NVGs SEAL Team Six wore on the Bin Laden raid. Business Insider. – https://ve42.co/BINightVision
Van Dommelen, L. Thermionic Emis­sion. Quan­tum Me­chan­ics for En­gi­neers. – https://ve42.co/Thermoionic
Nave, R. (2016). Blackbody Radiation. HyperPhysics. – https://ve42.co/BlackBody
Night Vision Terminology - Generations. ModArmory. – https://ve42.co/ModArmory
NASA (2018). X-ray Detectors - Electrical Current Detections. – https://ve42.co/NASAXRay

Images & Video:
Osama Bin Laden report, via CNN on YouTube - https://ve42.co/CNNOBL
Sicario Night Raid Scene, via Movieclips on YouTube - https://ve42.co/Sicario
Splinter Cell footage, via Ubisoft on YouTube - https://ve42.co/SplinterCell
Step Brothers Night Vision Scene, via masusockvevo on YouTube - https://ve42.co/StepBrothers
Ukraine report, via CNN on YouTube - https://ve42.co/CNNUkraine
FLIR K2 Thermal Imaging Camera footage, via Teledyne FLIR on YouTube - https://ve42.co/FLIRK2
Chandra X-ray Observatory imagery, via NASA - https://ve42.co/NASAChandra

▀▀▀
Special thanks to our Patreon supporters:
Adam Foreman, Anton Ragin, Balkrishna Heroor, Bernard McGee, Bill Linder, Burt Humburg, Chris Harper, Dave Kircher, Diffbot, Evgeny Skvortsov, Gnare, John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Lee Redden, Marinus Kuivenhoven, Mario Bottion, Max Maladino, Meekay, meg noah, Michael Krugman, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, TTST, Ubiquity Ventures

▀▀▀
Directed by Emily Zhang
Written by Emily Zhang and Derek Muller
Edited by Trenton Oliver
Animated by Mike Radjabov, Fabio Albertelli, and Ivy Tello
Filmed by Trenton Oliver, Emily Zhang, Derek Muller, and Raquel Nuno
Produced by Emily Zhang and Derek Muller

Thumbnail by Ren Hurley
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound

الإيروجل مادة لديها ميزات خلابة ولكنه صعب التعامل بها. نبحث بهذا الفيديو عن تطور مادة الإيروجل واستخدام ميزاتها العديدة. اشتركوا في قناة فريتاسيوم بالعربي
https://bit.ly/Subscribe_to_Veritasium_Arabic
للحصول على حلقات جديدة كل أسبوع

شكر خاص للدكتور ستيفن ستاينر وطاقم العمل في ايروجيل للتكنولوجيا. للمزيد من المعلومات أو لشراء مادة الإيروجل:
http://www.aerogeltechnologies.com/

شكر للدكتور ستيفن جونز والدكتور ميهايل بيتكوف من مختبر ناسا للدفع النفاث.

وشكرا لـ "فلير" لإعارتنا هذه الكاميرا الحرارية عالية الدقة. كانت نتيجة التصوير مذهلة!
https://www.flir.com

ميزات مادة الإيروجل الاستثنائية هي بشكل كبير نتيجة لهيكلية المادة. بالرغم من أن مادة الإيروجل تعتبر صلبة هي اسفنجية على مستوى لمقياس النانو، والمسامات الهيكلية الاسفنجية على صغر 20 نانو متر تقريبا. هذا الذي يجعل سيليكا الإيروجل خفيف جدا وشفاف ومادة ماصة أيضا (اعتبرت سابقا أخف صلب في العالم لكن حل محلها الآن مادة الجرافين ايروجيل).

حبة إيروجل بحجم مكعب ثلج لديها مساحة سطحية داخلية تقارب نصف ملعب كرة قدم. تستخدم مادة الأيروجيل في المتاحف لتنظيم مستوى الرطوبة. إضافةً تساعد في الحفاظ على الهواء داخل مقياس الزلازل المستخدم على كوكب المريخ - تمتص الرطوبة والغازات المتصاعدة الأخرى التي تخرج من المكوك الفضائي. مقترحات اخرى لاستخدامها تتضمن استعمالها كمبيد جسدي للحشرات لتجفيف الحشرة كبديل للمبيدات الكيميائية والسامة.

التصوير من بول جراماجليا.
صورة الفيديو من إجنات بيربيسي.
الرسوم المتحركة من كاثرين شولجيان

الموسيقى من
https://epidemicsound.com

هذا فيديو تعليمي

الفيديو الأصلي باللغة الإنجليزي:
https://www.youtube.com/watch?v=GcdB5bFwio4
اسم الفيديو الأصلي باللغة الإنجليزية:
I Waterproofed Myself With Aerogel!
@veritasium

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ستوديو الدبلجة
Racti Art Production
مدير القناة: وسام الشيخ حسن
[email protected]

Помощь проекту: https://www.patreon.com/VertDider

Вероятно, вы слышали про мнимую единицу, или «i». Это число, которое при возведении в квадрат даёт -1 (минус один). Тем, кто из школьной программы помнит, что результат возведения в квадрат всегда положительный, это может показаться странным. Не переживайте, долгое время идея о квадратных корнях отрицательных чисел ставила в тупик величайших математиков. Тем не менее мнимые числа вошли в обиход и доказали свою пользу: с их помощью мы не только научились решать некоторые уравнения, но и получили возможность узнать чуть больше о том, как на самом деле устроена Вселенная. Историю их появления, как мы считаем, вполне достойную экранизации, расскажет Дерек Маллер в новом видео.

Если вам захочется окунуться поглубже именно в математическую сторону вопроса, рекомендуем также посмотреть видео от канала Welch Labs «Мнимые числа реальны»: https://youtu.be/kicp_odjsRs

Перевод: Алексей Малов
Редактура: Елена Смотрова
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

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Источник: https://youtu.be/cUzklzVXJwo

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Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

Во время холодной войны один американский инженер придумал космическое оружие – вольфрамовые стержни, размером с телефонный столб. Дерек с канала Veritasium собрал команду специалистов и проверил эффективность подобного снаряда на практике.

Перевод: Алексей Лоскутов
Редактура: Алексей Малов
Научная редактура: Леонид Вокин
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан, Владимир Курдов
Монтаж звука: Андрей Фокин
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, Ira Kozlovskaya, Amir, opperatius, Куляш, Dmitrii Komarevtsev, Мikhail Samin, Roman Inflianskas, Oleg Zingilevskiy, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Aleksandr P., Anton Bolotov, JIukaviy, Katoto Chan, Eugene Tsaplin, Pavel Parpura, Anatoly Ressin, angel, Artem Amirbekov, Victor Cazacov, Kirill Zaslavskii, Timur Sattarov, Anna Ostrovskaya, Ihar Marozau, Dzmitryi Halyava, POD666, Aleksei Shabalin, Vladyslav Sokolenko, Irina Shakhverdova, Vadim Velicodnii, David Malko, Nastya, Павел Приступа, Stanislav Obrazcoff, Kirill Vedensky, Валентин Матвейчик, Leonid Steinberg, Ilya, Alexander Goida, Katya Ma, Morock_D, Sergey P, Evgeny Vrublevsky, Oleksandr Hrebeniuk, Сергей Платоненко, Валентин Ильин, Владимир Ямщиков, Мария Зверева, Адам Шифф, Rashn, Roman Gelingen, Сергей Клопов, Alexander Lebedev, Lexx, Nikrodol, Rashn, Rincewind, Sonra44, Ranis Zaripov, Alexey Tyurnin, Anton G, Dmitry Perekalin, Vadim, Владимир Авдиев, Artem Sobolenkov, MaximML , Rekvet, Timophey Popov, Timur Rahmatulin, Timur Rahmatulin, Адам Шифф, Арс Ник, Василий , Иван Новиков, Илья Зверев, Никита Омельницкий, Тимур Абдуллин, Точка Зрения.

#VertDider #Veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium/
Источник: https://youtu.be/J_n1FZaKzF8

Avalanches are beautiful, majestic, and completely terrifying – this is a video all about the science of avalanches. Head to https://brilliant.org/veritasium to start your free 30-day trial, and get 20% off an annual premium subscription.

A massive thank you to everyone at Whistler Blackcomb for making this shoot happen – Dane Gergovich, David Iles, Alastair Collis, Erin Taylor, and everyone else on the ski patrol team. Thank you for keeping us safe!

A massive thank you to Bruce Tremper, Niko Schirmer, and Mark Smiley for their expertise and help with this video. We are truly grateful for your time and expertise.

Check out Niko's channel here -- it's easily some of the best skiing content on YouTube. https://www.youtube.com/@Nikolai_Schirmer

If you have any intention of going into the backcountry, you have to read Bruce’s book – Staying Alive in Avalanche Terrain. It’s the Bible for this stuff, and the book that inspired us to make this video.

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Special thanks to our Patreon supporters! Join the community to help us keep our videos free, forever: https://ve42.co/PatreonDE

Adam Foreman, Anton Ragin, Balkrishna Heroor, Bertrand Serlet, Bill Linder, Blake Byers, Burt Humburg, Chris Harper, Dave Kircher, David Johnston, Evgeny Skvortsov, Garrett Mueller, Gnare, gpoly, I. H., John H. Austin, Jr., john kiehl, Josh Hibschman, Juan Benet, KeyWestr, Kyi, Lee Redden, Marinus Kuivenhoven, Martin, Matthias Wrobel, Max Paladino, Meekay, meg noah, Michael Krugman, Orlando Bassotto, Paul Peijzel, Richard Sundvall, Sam Lutfi, Stephen Wilcox, Tj Steyn, Toni , TTST, Ubiquity Ventures, wolfee

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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References:
Tremper, B. (2001). Staying Alive in Avalanche Terrain. Mountaineers Books. - https://ve42.co/Tremper2001
McClung, D. & Schaerer, P. (2006). The Avalanche Handbook. Mountaineers Books. - https://ve42.co/McClung2006
Hopfinger, E. J. (1983). Snow Avalanche Motion and Related Phenomena. Annual Review of Fluid Mechanics. - https://ve42.co/Hopfinger1983
Schweizer, J. et al. (2003). Snow avalanche formation. Reviews of Geophysics. - https://ve42.co/Schweizer2003
Schweizer, J. et al. (2008). Review of spatial variability of snowpack properties and its importance for avalanche formation. Cold Regions Science and Technology. - https://ve42.co/Schweizer2008
Jamieson, B. (2006). Formation of refrozen snowpack layers and their role in slab avalanche release. Reviews of Geophysics. - https://ve42.co/Jamieson2006
Schweizer, J. et al. (2016). Avalance release 101. International Snow Science Workshop Proceeding. - https://ve42.co/Schweizer2016
Schweizer, J. (2008). Snow avalanche formation and dynamics. Cold Regions Science and Technology. - https://ve42.co/Schweizer2008-2

Images & Video:
Skiing and snowboarding footage by Niko Schirmer - https://ve42.co/NikoYT
World's Biggest Avalanche (c)Thom Goddard/All Star Films Ltd 2015. Thank you to the Thom Goddard Channel for use - https://ve42.co/ThomGoddard
Newspaper clippings via Newspapers.com – https://ve42.co/Newspapers
Video of a snow slab avalanche via Trottet, B. et al. (2022). Transition from sub-Rayleigh anticrack to supershear crack propagation in snow avalanches. Nature Physics. - https://ve42.co/Trottet2022
Remote Triggered Avalanche via Henry’s Avalanche Talk - Remote Triggering of an Avalanche
WW1 images via Brugnara, Y. et al. (2016). December 1916: Deadly Wartime Weather. Geographica Bernensia - https://ve42.co/Brugnara2016
Major Avalanches via Geomorphological Hazards - https://ve42.co/MajorAvi
White Friday avalanche illustration via Avalanches WIllow - https://ve42.co/WhiteFriday
White Friday aftermath via Lost In History - https://ve42.co/AviGraves
Field mass on Marmolada via Austrian National Library - https://ve42.co/AviMass
Yungay disaster via NOAA - https://ve42.co/Yungay
Yungay aftermath via AMC Museum - https://ve42.co/YungayAMC
Bruce Tremper Image via utavy - https://ve42.co/BruceTPic
Snowpack via SnowStudies.org - https://ve42.co/SnowStudies
Snowpack via Avalanche.org - https://ve42.co/SnowPackAvi
Snow crystals via Reiweger, I. (2011). Failure of weak snow layers. ETH. - https://ve42.co/Reiweger2011

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Directed by Petr Lebedev
Written by Petr Lebedev and Derek Muller
Edited by Peter Nelson (Additional editing by James Horsley)
Animated by Jakub Misiek, Fabio Albertelli, Alex Zepherin, and Alex Drakoulis
Additional Research by Gregor Čavloviċ
Filmed by Petr Lebedev and Ryan Regehr
FPV Drone by Mitch Winton
Produced by Petr Lebedev, Derek Muller, Han Evans, Giovanna Utichi, Rob Beasley Spence, Emily Taylor and Gregor Čavloviċ

Thumbnail by Ren Hurley and Peter Sheppard
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound