First look and review of the professional DJI RONIN 4D Cinema Camera that has a built in 4 AXIS gimbal for stabilization and comes in 6K and 8K. We explore the image quality, color grading, and wireless focus and control.
Learn more about DJI Ronin 4D here: https://www.dji.com/ronin-4d
#DJIRonin4D, #Ronin, #DJI, #TheFutureIsRolling

TABLE OF CONTENTS:
0:00 - Introduction
0:45 - 4 Axis Stabilization
1:31 - Shooting Modes
3:20 - The Gimbal
3:50 - Interchangeable mounts
4:30 - Image Quality
7:00 - Wireless Video Transmission
9:01 - Focus System
10:05 - Last Details
11:20 - Final Thoughts
12:09 - Cat Outro

Thanks to Red Bull Canada for letting us shoot footage of BC One! Featured is Phil Wizard.
Follow Phil: https://www.instagram.com/philkwizard/?hl=en

Big thanks to Jon Simo for letting us shooting in Neon Demon Studio! Check out Neon Demon here: https://www.neondemonstudio.com

🎬 THIS VIDEO WAS COLORED USING MY “EXPENSIVE VIBES” LUT: https://thechrishau.com/produc....ts/chris-hau-univers
📸 MY LIGHTROOM PRESETS: https://the-chris-hau.myshopif....y.com/products/prese
🚀 "HAU TO" SUBSCRIBE: 👉 http://bit.ly/2KWxoZd 👈
🎥 FREE DIGITAL ASSETS (Presets, Luts, Business Templates) - https://thechrishau.com/pages/free
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💌 SIGN UP FOR MY NEWSLETTER + FREE DIGITAL ASSETS - https://thechrishau.com/pages/free
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🌍 WEBSITE: http://www.thechrishau.com

Business Inquiries: [email protected] - Please keep this to business requests only :)

———WHERE I GET MY MUSIC———

🎵 EPIDEMIC SOUND: https://geni.us/ChrisHauEpidemic
🎵 MUSIC BED:https://geni.us/ChrisHauMusicBed
🎵 ARTLIST (Best value for Business Owners): https://geni.us/ChrisHauArtlist

———HOW I MAKE PASSIVE INCOME———

🎬 WHERE I UPLOAD STOCK VIDEO TO MAKE PASSIVE $$$: https://goo.gl/RZCRCz

———-WHAT GEAR I USE——-

⚡︎ SOFTWARE I USE TO EDIT VIDEO + PHOTOS: https://geni.us/ChrisHauAdobe
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⚡︎ SMALLRIG FOLDING TOOL (so clutch): https://geni.us/RMQbKO5
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⚡︎ PEAK DESIGN TRAVEL TRIPOD (Carbon Fibre) https://geni.us/IKKEU2
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⚡︎ UES DDR16 DSLR or SLR DIGITAL CAMERA CLEANING KIT FOR APS-C SENSORS: https://geni.us/mtwnm
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⚡︎ AMAZON BASCIS AAA RECHRAGABLE BATTERIES: https://geni.us/z7wFG2r
⚡︎ KNIFE: https://geni.us/PfPkPnL
⚡︎ PROGRADE DIGITAL USB 3.1 GEN 2 DUAL-SLOT CARD READER FOR SD AND SD: PROGRADE DIGITAL: https://geni.us/O19wM
⚡︎ DESKTOP EDITING COMPUTER (CRUSHES 4k VIDEO): https://kit.co/TheChrisHau/my-desktop...

———OTHER GEAR I LOVE———

⚡︎ BENDY TRIPOD (HIGHLY RECOMMEND): https://geni.us/0BA8RX
⚡︎ ACTION CAMERA: https://geni.us/DJIOSMOACTION
⚡︎ 360 CAMERA (A MUST HAVE): https://geni.us/aR8xf
⚡︎ MOST USED GIMBAL: https://geni.us/aqNjuB
⚡︎ AUDIO RECORDER: https://geni.us/Xi6I
⚡︎ “MUST HAVE” Diffusion / Reflector: https://geni.us/wHc9
⚡︎ SLIDER / TIMELAPSE: https://geni.us/RYduQgm

PS: Some of the links in this description are affiliate links (actually most of them are) and I get a small kick back for them. Thanks for your support!

🔥CEH v12 - Certified Ethical Hacking Course: https://www.simplilearn.com/cyber-security/ceh-certification?utm_campaign=LGCyberSecurityEveLive24Apr2023&utm_medium=DescriptionFirstFold&utm_source=youtube
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This Cyber Security full course helps you learn cybersecurity in 12 Hours. In this cybersecurity tutorial for beginners, you will learn the importance of cybersecurity, cybersecurity skills, what cybersecurity means, and the types of cyberattacks with a hands-on demo for each. This video also covers cryptography, ethical hacking, and the top cybersecurity certifications.

Below are the topics covered in this Cyber Security full course video:
Introduction to Cybersecurity
Top Cyber Security Skills
Types of Cyberattacks
What is Cyber Security
Ethical Hacking
Cryptography
CompTIA Security+Cerificatios
CEH Certification
CISSP Certification
Cyber Security Interview Questions and answers

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What Is Cyber Security?
Cyber Security involves techniques that help in securing various digital components, networks, data, and computer systems, from unauthorized digital access. There are several ways to implement cybersecurity, depending on the kind of network you are connected to and the type of cyberattacks you are prone to. A few ways to implement cybersecurity are defining clear boundaries, using network security control devices like Firewalls and IDS, and carrying out security testing.

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What are the eligibility criteria for this Advanced Executive Program in Cybersecurity?
For admission to this Advanced Executive Program in Cybersecurity, candidates:
✅Should have a bachelor's degree in any discipline with an average of 50% or higher marks
✅Prior work experience of 1 year or more
✅May have a non-programming background

Will financial aid be provided for this Advanced Executive Program in Cybersecurity?
To ensure money is not a limiting factor in learning, we offer various financing options to help make this cyber security certification in India financially manageable. For more details, please refer to our ""Admissions Fee and Financing"" section.

👉Learn More at: https://www.simplilearn.com/pgp-advanced-executive-program-in-cyber-security?utm_campaign=LGCyberSecurityEveLive24Apr2023&utm_medium=Description&utm_source=youtube

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Lecture by Professor Andrew Ng for Machine Learning (CS 229) in the Stanford Computer Science department. Professor Ng continues his lecture about support vector machines, including soft margin optimization and kernels.

This course provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.

Complete Playlist for the Course:
http://www.youtube.com/view_pl....ay_list?p=A89DCFA6AD

CS 229 Course Website:
http://www.stanford.edu/class/cs229/

Stanford University:
http://www.stanford.edu/

Stanford University Channel on YouTube:
http://www.youtube.com/stanford

This short tutorial explains the training objectives used to develop ChatGPT, the new chatbot language model from OpenAI.

Timestamps:
0:00 - Non-intro
0:24 - Training overview
1:33 - Generative pretraining (the raw language model)
4:18 - The alignment problem
6:26 - Supervised fine-tuning
7:19 - Limitations of supervision: distributional shift
8:50 - Reward learning based on preferences
10:39 - Reinforcement learning from human feedback
13:02 - Room for improvement

ChatGPT: https://openai.com/blog/chatgpt

Relevant papers for learning more:
InstructGPT: Ouyang et al., 2022 - https://arxiv.org/abs/2203.02155
GPT-3: Brown et al., 2020 - https://arxiv.org/abs/2005.14165
PaLM: Chowdhery et al., 2022 - https://arxiv.org/abs/2204.02311
Efficient reductions for imitation learning: Ross & Bagnell, 2010 - https://proceedings.mlr.press/v9/ross10a.html
Deep reinforcement learning from human preferences: Christiano et al., 2017 - https://arxiv.org/abs/1706.03741
Learning to summarize from human feedback: Stiennon et al., 2020 - https://arxiv.org/abs/2009.01325
Scaling laws for reward model overoptimization: Gao et al., 2022 - https://arxiv.org/abs/2210.10760
Proximal policy optimization algorithms: Schulman et al., 2017 - https://arxiv.org/abs/1707.06347

Special thanks to Elmira Amirloo for feedback on this video.

Links:
YouTube: https://www.youtube.com/ariseffai
Twitter: https://twitter.com/ari_seff
Homepage: https://www.ariseff.com

If you'd like to help support the channel (completely optional), you can donate a cup of coffee via the following:
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🔥 Post Graduate Program In Cloud Computing: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=14July2023CloudComputingArchitecture&utm_medium=DescriptionFirstFold&utm_source=youtube
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In this video on "Cloud Computing Architecture", we will cover the architectual Structure (IaaS, PaaS, SaaS of Cloud Computing and how it helps data centers function in pace. This video will help you understand the in depth concepts of Cloud Computing and help you build your base in Cloud Computing and its related concepts.
In this video you will learn:
00:00 Cloud Computing Architecture
02:36 What is Cloud Computing?
03:32 Architecture of Cloud Computing
05:46 Data Centres in Cloud Computing

✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH

➡️ About Post Graduate Program In Cloud Computing

What is Cloud Computing?
Cloud computing is a model where computing services, like storage and applications, are accessed over the internet. It eliminates the need for local servers and allows on-demand access to resources. It offers benefits such as cost savings, scalability, accessibility, reliability, and security.

This Post Graduate Program in Cloud Computing helps you become an expert in designing, planning, and scaling cloud implementations. Our Cloud Computing course helps you master the core skill sets required to design and deploy dynamically scalable and reliable applications on three popular cloud platform providers: Microsoft Azure, AWS, and GCP.

✅ Key Features

- Caltech CTME Post Graduate Certificate
- Enrolment in Simplilearn’s JobAssist
- Receive up to 30 CEUs from Caltech CTME
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
- Online Convocation by Caltech CTME Program Director
- 40+ Hands-On Projects and Integrated Labs
- Capstone Project in 4 Domains
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- Cloud Provider Selection
- Application Migration
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- Cloud Workloads
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This HTML Full Course 2023 by Simplilearn will take you through the most basic and advanced level concepts of HTML, and you'll be able to learn HTML in 8 hours only. In this HTML tutorial for beginners 2023, we have covered everything you need to know and understand about the most basic block of web development. Additionally, you will also learn to create some fantastic projects with the help of all you will learn in this HTML Full Course 2023. Below are the topics we have covered in this HTML tutorial for beginners.

HTML Full Course 2023
00:03:55 HTML In 10 Minutes
00:11:34 Tags In HTML
00:20:18 HTML Elements
00:27:52 HTML Attributes
00:33:34 HTML Image Tag
00:43:41 HTML Table Tag
00:56:56 HTML Classes And IDs
01:06:46 HTML Style Tag
01:20:34 HTML JavaScript
01:28:20 HTML Layouts
01:48:11 HTML Responsive Image
01:54:08 Content Boxes In HTML
02:13:31 HTML Image Slider
02:41:50 HTML Input Types
02:56:20 HTML Navigation Bar
03:16:27 HTML Forms
03:26:48 HTML Login And Signup Forms
04:04:41 HTML Interview Questions
04:18:19 HTML Website Design Tutorial
05:35:20 HTML Quiz Application

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⏩ Check out our HTML training videos playlist: https://youtube.com/playlist?l....ist=PLEiEAq2VkUULq2a

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➡️ About Post Graduate Program In Full Stack Web Development
This program will give you the foundation for building full-stack web apps using the Java programming language. You'll begin with the basics of JavaScript, and then venture into some of the more advanced concepts like Angular, Spring Boot, Hibernate, JSPs, and MVC. Now is the perfect time to get started on your career as a full-stack web developer!

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- Caltech CTME Post Graduate Certificate
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- Receive up to 25 CEUs from Caltech CTME
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- Attend Masterclasses from Caltech CTME instructors
- Live virtual classes led by industry experts, hands-on projects and integrated labs
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- 20 lesson-end and 5 phase-end projects
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Learn to use Astro in this beginner's tutorial. Astro is an all-in-one web framework for building fast, content-focused websites like landing pages, blogs, technical documentation, and more.

✏️ This course was developed by @JamesQQuick
🔗 Longer Astro Course: https://astrocourse.dev/

💻 Code: https://github.com/jamesqquick/astro-course-demo

Astro Docs - https://docs.astro.build/
SSG vs SSR Diagram - https://app.eraser.io/workspac....e/CmsSg90ShrgnuACWRs

⌨️ (0:00:00) Intro
⌨️ (0:00:35) What We'll Cover
⌨️ (0:01:23) Creating an Astro Project
⌨️ (0:06:23) Astro Overview (components, file based routing, css, and more)
⌨️ (0:13:23) Astro Setup in VS Code
⌨️ (0:16:23) Setting Up Tailwind
⌨️ (0:18:23) Updating the Site Layout
⌨️ (0:27:23) Working with Markdown and Content Collections
⌨️ (0:34:23) Querying and Displaying Blog Posts Using Content Collections
⌨️ (0:40:23) Creating Dynamic Routes For Individual Blog Posts
⌨️ (0:46:38) Tailwind Typography Plugin
⌨️ (0:47:53) Optimizing Images
⌨️ (0:52:43) Using the ViewTransitions API
⌨️ (0:54:03) Adding Support for MDX
⌨️ (0:56:23) Deploy to Netlify and Vercel
⌨️ (0:59:23) Enabling SSR in Astro
⌨️ (1:08:53) Astro Server Endpoints
⌨️ (1:12:23) Deploying SSR to Netlify and Vercel
⌨️ (1:16:23) Wrap Up

🎉 Thanks to our Champion and Sponsor supporters:
👾 davthecoder
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👾 南宮千影
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--

Learn to code for free and get a developer job: https://www.freecodecamp.org

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

AI robots, with Elon Musk, Ameca, Boston Dynamics. To learn more about AI, please visit https://brilliant.org/digitalengine where you'll also find loads of fun courses on maths, science and computer science.

Here's the first video on our new channel, Go Rogue:
https://youtu.be/k07unSpmBSg

Thanks to Brilliant for sponsoring this video.

To stay at the stunning Appleby Castle: http://applebycastle.org

For custom nerf blasters: https://outofdarts.com

Please don't feel anxious about this - the AI in this video obviously isn't dangerous (GPT-3 isn't conscious). I'm optimistic that the future of AI will be great (if we're careful).

Sources:

Here are the records for the original GPT-3 chat (screenshots and a video to avoid any doubt). I've marked the words from Elon Musk and Ameca on the first page (which I gave the AI to respond to in the previous video):
https://www.dropbox.com/sh/82i....wek5rnofmrn2/AADM4WO

Tesla's AI day 2, introducing the Tesla Optimus robot:
https://www.youtube.com/watch?v=ODSJsviD_SU&t=1198s

Researchers from Oxford University and DeepMind on AI risks:
https://onlinelibrary.wiley.co....m/doi/10.1002/aaai.1

Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action:
https://arxiv.org/abs/2207.04429

🔥Become An AI & ML Expert Today: https://taplink.cc/simplilearn_ai_ml

This Convolutional neural network tutorial (CNN) will help you understand what is a convolutional neural network, how CNN recognizes images, what are layers in the convolutional neural network and at the end, you will see a use case implementation using CNN. A CNN is also known as a "ConvNet". Convolutional networks can also perform optical character recognition to digitize text and make natural-language processing possible on analog and hand-written documents. CNN can also be applied to sound when it is represented visually as a spectrogram. Now, let's deep dive into this video to understand what is CNN and how do they actually work.

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Below topics are explained in this CNN tutorial (Convolutional Neural Network Tutorial)
1. Introduction to CNN
2. What is a convolutional neural network?
3. How CNN recognizes images?
4. Layers in convolutional neural network
5. Use case implementation using CNN

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

You can also go through the slides here: https://goo.gl/ZNcp9n

Watch more videos on Deep Learning: https://www.youtube.com/watch?v=FbxTVRfQFuI&list=PLEiEAq2VkUUIYQ-mMRAGilfOKyWKpHSip

#DeepLearning #Datasciencecourse #DataScience #SimplilearnMachineLearning #DeepLearningCourse

We've partnered with Purdue University and collaborated with IBM to offer you the unique Post Graduate Program in AI and Machine Learning. Learn more about it here - https://www.simplilearn.com/ai-and-machine-learning-post-graduate-certificate-program-purdue?utm_campaign=Convolutional-Neural-Network-Tutorial-CNN-Tutorial-Jy9-aGMB_TE&utm_medium=Tutorials&utm_source=youtube

Simplilearn’s Deep Learning course will transform you into an expert in deep learning techniques using TensorFlow, the open-source software library designed to conduct machine learning & deep neural network research. With our deep learning course, you’ll master deep learning and TensorFlow concepts, learn to implement algorithms, build artificial neural networks and traverse layers of data abstraction to understand the power of data and prepare you for your new role as deep learning scientist.

You can gain in-depth knowledge of Deep Learning by taking our Deep Learning certification training course. With Simplilearn’s Deep Learning course, you will prepare for a career as a Deep Learning engineer as you master concepts and techniques including supervised and unsupervised learning, mathematical and heuristic aspects, and hands-on modeling to develop algorithms. Those who complete the course will be able to:

1. Understand the concepts of TensorFlow, its main functions, operations and the execution pipeline
2. Implement deep learning algorithms, understand neural networks and traverse the layers of data abstraction which will empower you to understand data like never before
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4. Build deep learning models in TensorFlow and interpret the results
5. Understand the language and fundamental concepts of artificial neural networks

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Get the Android app: http://bit.ly/1WlVo4u
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The world's strongest magnet is a million times stronger than Earth's magnetic field. Learn more about sustainability and Google’s efforts at sustainability.google. Part of this video was sponsored by Google.

Trends insights for the past year are based on Google Trends data from 2/10/2022 - 2/10/2023, U.S.

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Thanks to the entire NHMFL team - especially Tim, Stephen, Caroline, Kristin, Sam, Lance, and everyone who helped with the demos - for the great visit.
The NHMFL is funded by the National Science Foundation and the State of Florida.

Special thanks to Henry from Minutephysics for lending his magnet animations from our magnet collaboration: https://youtu.be/hFAOXdXZ5TM

▀▀▀
References:
Liu, Y., Zhu, D. M., Strayer, D. M., & Israelsson, U. E. (2010). Magnetic levitation of large water droplets and mice. Advances in Space Research, 45(1), 208-213.

Simon, M. D., & Geim, A. K. (2000). Diamagnetic levitation: Flying frogs and floating magnets. Journal of applied physics, 87(9), 6200-6204.

Berry, M. V., & Geim, A. K. (1997). Of flying frogs and levitrons. European Journal of Physics, 18(4), 307.

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Special thanks to our Patreon supporters:
Tj Steyn, Meg Noah, Bernard McGee, James Sanger, Elliot Miller, Jerome Barakos M.D., Amadeo Bee, TTST, Balkrishna Heroor, Chris LaClair, John H. Austin Jr., Eric Sexton, John Kiehl, Anton Ragin, Diffbot, Gnare, Dave Kircher, Burt Humburg, Blake Byers, Evgeny Skvortsov, Meekay, Bill Linder, Paul Peijzel, Josh Hibschman, Mac Malkawi, Juan Benet, Sunil Nagaraj, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Cy 'kkm' K'Nelson, Sam Lutfi

▀▀▀
Written by Derek Muller
Edited and Motion Graphics by Trenton Oliver
Coordinated by Emily Zhang and Derek Muller
Filmed by Derek Muller, Trenton Oliver, Raquel Nuno and Emily Zhang
Additional video/photos supplied by Pond5 & Getty Images
Music from Epidemic Sound
Thumbnail by Ignat Berbeci
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

SUSCRÍBETE para ver todos nuestros videos: @VeritasiumES

Visitamos la Armada de los Estados Unidos para probar los mejores anteojos de visión nocturna del mundo. Dirígete a https://brilliant.org/veritasium para comenzar tu prueba gratuita de 30 días, y las primeras 200 personas obtendrán un 20% de descuento en una suscripción premium anual.

Si estás buscando un kit de modelado molecular, visita https://ve42.co/SnatomsV para probar Snatoms, un kit que inventé donde los átomos se unen magnéticamente.

Un agradecimiento enorme al Dr. Ben Conley y a todo el equipo del Centro de Guerra Naval Surface, División Crane. Puedes conocer más sobre su trabajo aquí: https://www.navsea.navy.mil/Home/Warf...


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Referencias del video:
Tyson, J. (2001). Cómo funciona la visión nocturna. How Stuff Works. - https://ve42.co/HSWNightVision
Montoro, H. P. Intensificación de imágenes: la tecnología de la visión nocturna. Photonics. - https://ve42.co/PhotonicsTech
Brain Stuff - HowStuffWorks a través de YouTube - https://ve42.co/HSWVideo
Photonis a través de YouTube - https://ve42.co/Photonis
Operator Drewski a través de YouTube - https://ve42.co/NVGaming
Dispositivo de visión nocturna a través de Wikipedia - https://ve42.co/NVWiki
Intensificador de imagen a través de Wikipedia - https://ve42.co/Intensifier
Lodriguss, J. Cómo funcionan las cámaras digitales. AstroPix. - https://ve42.co/AstroPix
Kinka-Byo. (2019). ¿Cuál es la causa física del aumento de ruido a ISO alto? StackExchange. - https://ve42.co/PhotoISO
Macias, A. (2015). Las NVG secretas que usó el SEAL Team Six en la incursión contra Bin Laden. Business Insider. - https://ve42.co/BINightVision
Van Dommelen, L. Emisión termoiónica. Mecánica cuántica para ingenieros. - https://ve42.co/Thermoionic
Nave, R. (2016). Radiación de cuerpo negro. HyperPhysics. - https://ve42.co/BlackBody
Terminología de visión nocturna - Generaciones. ModArmory. - https://ve42.co/ModArmory
NASA (2018). Detectores de rayos X - Detección de corriente eléctrica. - https://ve42.co/NASAXRay

Imágenes y videos:
Informe de Osama Bin Laden, a través de CNN en YouTube - https://ve42.co/CNNOBL
Escena de incursión nocturna de Sicario, a través de Movieclips en YouTube - https://ve42.co/Sicario
Metraje de Splinter Cell, a través de Ubisoft en YouTube - https://ve42.co/SplinterCell
Escena de visión nocturna de Step Brothers, a través de masusockvevo en YouTube - https://ve42.co/StepBrothers
Informe de Ucrania, a través de CNN en YouTube - https://ve42.co/CNNUkraine
Metraje de la cámara de imagen térmica FLIR K2, a través de Teledyne FLIR en YouTube - https://ve42.co/FLIRK2
Imágenes del Observatorio de rayos X Chandra, a través de la NASA - https://ve42.co/NASAChandra

▀▀▀
Agradecimientos especiales a nuestros seguidores de Patreon:
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

▀▀▀
Dirigido por Emily Zhang
Escrito por Emily Zhang y Derek Muller
Editado por Trenton Oliver
Animado por Mike Radjabov, Fabio Albertelli e Ivy Tello
Filmado por Trenton Oliver, Emily Zhang, Derek Muller y Raquel Nuno
Producido por Emily Zhang y Derek Muller

Miniatura por Ren Hurley
Video/fotos adicionales proporcionados por Getty Images y Pond5
Música de Epidemic Sound

Video en Inglés del Canal @Veritasium: https://youtu.be/UAeJHAFjwPM

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🕹 Este canal de Youtube es administrado por: https://www.unilingo.co/
❓Comentarios o sugerencias de traducción: [email protected]

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#veritasiumenespañol

Помощь проекту: https://vertdider.tv/to-support-us/

Могут ли закончиться места в отеле, где бесконечно много номеров? Звучит парадоксально, но могут, ведь некоторые бесконечности больше других. Об этом расскажет Дерек Маллер в новом видео Veritasium.

#VertDider #Veritasium

Перевод: Алексей Малов
Редактура: Елена Смотрова
Озвучка: Дмитрий Чепусов
Монтаж видео: Джон Исмаилов
Обложка: Андрей Гавриков

Спасибо за поддержку на https://www.patreon.com/VertDider
Озвучки Vert Dider выходят с вашей помощью:

Maria Zvereva, Pavel Dunaev, Nick Denizhenko, Oleksii Leonov, Yegor Barakovskiy, Ігор Дорохов, Mikhail Stolpovskiy, Антон Малинин, Дмитрий, Roman Inflianskas, Maxim Syunikov, Oleg Zingilevskiy, Serega Beltser, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Роман Чурин, Евгений Сельменев, Alex Afalex, Anton Kudashov, Sergii Cherepanov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Михаил Панькин, Максим 'Sheridan' Горлов, Katoto Chan, Anton Makiievskyi, Мария Баранова, Maxim Arkushin, Илья Соловьёв, Julia, Oleg Kovalov, Vadim Cpp, Roman Rogachev, Artem Amirbekov, Dzmitryi Halyava, Nastya, POD666, Aleksei Shabalin, Timophey Popov, Natalie Kulinicheva, Ilya Afanasyev, Marat Bakirov, Ирина Завтонова, Anastasia, Aliaksandr Sheliutsin, Andrew Rumak, Andrey Istomin, Марина Малинкина, Dmitry Khlan, Yaroslav Kyrylchuk, Ирина Анатольевна Чулкова, Pavel Golovin, Vadim Velicodnii, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Nadia Kilgishova, Sultan Ishankulov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Alexander, Maria Tronina, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Виталий Пастушенко, Claudia Barzaeva, Monza UA, Lirin Alex, Dan Sotnikov, Konstantin Pesyakov, Denis Titusov, Viktoria, Alexandr Globov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Alex Katkov, Irina Shakhverdova, Dmitriy Omelyansky, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— http://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider
— http://coub.com/vertdider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/c/veritasium
Источник: https://youtu.be/OxGsU8oIWjY

Поддержать проект можно по ссылкам:
Если вы в России: https://boosty.to/vertdider
Если вы не в России: https://www.patreon.com/VertDider

В чём проблема научных сенсаций?

«Учёные открыли сверхпроводник комнатной температуры», «учёные создали червоточину на квантовом компьютере» и много других подобных новостей мы регулярно читаем в СМИ. И тут же попадаем в анекдот про нюанс, потому что научный результат есть, но он или преувеличен, или искажён. Так в чём всё-таки проблема? Может быть, в журналистах, которые гонятся за сенсациями? Или в том, как в принципе работает современная наука? В этом видео Дерек Маллер общается с учёными и пытается понять, как можно исправить ситуацию с новостями науки.

Перевод: Егор Афонин
Редактура: Алексей Малов
Научная редактура: Макар Светлый
Озвучка: Дмитрий Чепусов, Алексей Никитин, Лиза Чабан, Владимир Курдов, Михаил Глушковский
Монтаж звука: Андрей Фокин
Монтаж видео: Юрий Хомяков
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, Все будет хорошо, Vitaliy Vachynyuk, Anatoly Zapadinsky, Oleg Zingilevskiy, Mykola Korniichuk, opperatius, Eugene Tsaplin, Pavel Parpura, Anton Bolotov, Katoto Chan, Мikhail Samin, Ihar Marozau, Irina Shakhverdova, Aleksei Shabalin, Valeriy Dubrava, Kirill Zaslavskii, Victor Cazacov, Timur Sattarov, VEG, Victoria Kleban, Morock_D, Alexander Goida, Vladimir Sharich, Maxim Korotkov, Leonid Steinberg, Alex Kulakov, Anna Ostrovskaya, Rashn, Nikrodol, Lexx, Dmitry Chechulin, Rincewind, Шурик Самара, Виктор Харламов, Alexander Lebedev, Sonra44, Timophey Popov, Арс Ник, asdadasa, MaximML , dv0, александра меньшикова, Тимур Абдуллин, Artem Piskarev, Глеб Кочергин, Иван Новиков, Никита Омельницкий, Artem Sobolenkov, Alien, Artem Sobolenkov, Rekvet, pervprog, Илья Зверев, Кожаный Гусь, Никита Омельницкий, Cyril Anonimov, Timur Rahmatulin, Дмитрий Казанов, Being of Whiteout, Александр Денисов, Timur Rahmatulin, Артем Сиваченко, Никита Омельницкий, Тот самый Виктор, Alexander Kulikov, Адам Шифф, Василий , Никита Омельницкий, Никита Цикалин.

#vertdider #veritasium

Сайт студии: http://vertdider.tv

Мы в социальных сетях:
— https://vk.com/studio_vd
— https://t.me/vertdider
— https://twitter.com/Vert_Dider

Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/@veritasium
Источник: https://www.youtube.com/watch?v=czjisEGe5Cw

For a code implementation, check out this repo:
https://github.com/luisguiserr....ano/manning/tree/mas

Announcement: New Book by Luis Serrano! Grokking Machine Learning. bit.ly/grokkingML
40% discount code: serranoyt

An introduction to support vector machines (SVMs) that requires very little math (no calculus or linear algebra), only a visual mind.
This is the third of a series of three videos.
- Linear Regression: https://www.youtube.com/watch?v=wYPUhge9w5c
- Logistic Regression: https://www.youtube.com/watch?v=jbluHIgBmBo

0:00 Introduction
1:42 Classification goal: split data
3:14 Perceptron algorithm
6:00 Split data - separate lines
7:05 How to separate lines?
12:01 Expanding rate
18:19 Perceptron Error
19:26 SVM Classification Error
20:34 Margin Error
25:13 Challenge - Gradient Descent
27:25 Which line is better?
28:24 The C parameter
30:16 Series of 3 videos
30:30 Thank you!

Full courses + unlimited support: https://www.skool.com/ai-autom....ation-society-plus/a
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In this video, I break down building an AI Agent so simply even a 10-year-old could do it! I’ll walk you through what an AI agent is and how to build a basic email agent in n8n that can automatically send emails for you.

No coding experience? No problem! I’ll guide you step-by-step, showing just how quick and easy you can get this set up. By the end of this video, you’ll have your very own email-sending AI agent up and running in no time.


Sponsorship Inquiries:
📧 [email protected]

WATCH NEXT:
https://youtu.be/u2Tuu02r7QI

TIMESTAMPS
00:00 Components of an AI Agent
03:50 Step 1: Chat Input
04:18 Step 2: Adding the Brain
05:49 Step 3: Adding Memory
07:45 Step 4: Adding Send Email Tool
10:21 Step 5: Adding Instructions (System Message)
12:04 Testing the Email Agent
13:43 Reviewing the Agent Log
15:00 Step 6: Adding Contact Database Tool
16:57 Final Test
18:05 Final Thoughts

Gear I Used:
Camera: Razer Kiyo Pro
Microphone: HyperX SoloCast
Background Music: https://www.youtube.com/watch?v=Q7HjxOAU5Kc&t=0s

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Ever wanted to build your own web application but felt stopped by a lack of coding knowledge? This video is your ultimate starting guide. I'll show you how to use Claude Code, a powerful AI assistant that can write, plan, and execute code based on your plain English instructions. This tutorial is designed specifically for non-coders and absolute beginners, meaning we start from the very beginning with zero assumptions about your technical skills.

We'll walk through every single step together to get you up and running. You'll learn how to set up your complete development environment, including installing Node.js and Cursor. From there, we dive into the core mechanics of Claude Code, mastering the essential slash commands, building agents, and learning the workflow to turn your ideas into functional applications.

The best way to learn is by doing, so we'll build a real-world project: a complete front-end for an AI-powered chatbot. But we won't stop there. To make sure you have something real to show for your efforts, I'll guide you through the process of deploying your new application to the internet using GitHub and Vercel. By the end of this video, you won't just understand Claude Code—you'll have a live, shareable project on your very own domain.

TIMESTAMPS:
0:00 Intro
4:37 Installing Claude Code
5:51 Claude Code Basics
9:16 Building Our Frontend
11:20 Cursor AI
13:27 Local Testing
15:12 Claude Code Agents
18:46 n8n Integration
26:33 GitHub and Vercel Setup
29:04 Preparing for Prod
34:00 Troubleshooting the Deployment
37:24 The Mindset


RESOURCES FROM THIS VIDEO:
➡️ Get started with n8n: https://n8n.partnerlinks.io/bfumg8i8y8nc
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#ClaudeCode #AICoding #CodingForBeginners #NonCoders #AI #nocode #n8n #automation