NVIDIA announced its new CPU today, a collaboration with ARM yielding the "Grace" CPU. The company is also releasing new RTX GPUs (the A4000, A5000, A6000).
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You can also pick up an Original Modmat (also in stock & shipping) on the store: https://store.gamersnexus.net/products/modmat

NVIDIA's GTC 2021 conference saw the unveil of a series of new GPUs for professionals and data center applications, but all of these were overshadowed by NVIDIA's renewed interest in the CPU space. NVIDIA has been trying to purchase ARM since 2020 (currently pending regulatory approval), and in the meantime, the two organizations are working together to produce the new NVIDIA Grace CPU for data center and server applications. The NVIDIA Grace CPU aims to improve bandwidth of CPU-to-GPU communications and CPU-to-CPU communications, outperforming traditional PCIe signaling with NVIDIA's NVLink.

The GPUs announced are part of the former Quadro line, branding that NVIDIA is slowly moving away from. The A5000 and A4000 GPUs are in the high-end of Ampere RTX cards, with mobile versions also available in Max-Q laptops.

Separately from all of this, NVIDIA talked more about its Omniverse software and a few RTX games, including Black Myth: Wukong, Boundary, Narak: Bladepoint, and Bright Memory. Cyberpunk also got a comically short pseudo-reference.

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TIMESTAMPS

00:00 - NVIDIA GTC 2021 Announcements
01:03 - NVIDIA's New "Grace" ARM CPU
05:11 - New GPUs from NVIDIA: A4000, A5000
10:51 - A10, A16, & Omniverse

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Learn the MERN stack (MongoDB, Express, React, Node.js) in this crash course for beginners. Here are some of the topics you will learn about:
- Backend CRUD
- Backend Router
- CORS Policy
- MongoDB operations
- Frontend CRUD
- Frontend Router

💻 Code: https://github.com/mohammad-ta....heri1/Book-Store-MER

✏️ Course developed by @DevEmpower

⭐️ Contents ⭐️
⌨️ (00:00) Intro
⌨️ (01:10) Create Node.js project from scratch
⌨️ (03:39) Create our first Http Route
⌨️ (06:01) Add MongoDB and mongoose to node js
⌨️ (08:52) Create Book model with mongoose
⌨️ (10:53) Save a new Book with mongoose
⌨️ (13:31) Get All Books with mongoose
⌨️ (15:08) Get One Book by id with mongoose
⌨️ (16:29) Update a Book with mongoose
⌨️ (18:36) Delete a book with mongoose
⌨️ (20:09) Refactor Node js with express router
⌨️ (22:23) CORS policy in Node js and Express js
⌨️ (25:21) Create React project, Vite, Tailwind CSS
⌨️ (27:41) SPA and Add react router dom
⌨️ (29:52) Show Books List in React
⌨️ (35:39) Show Book Details in React
⌨️ (39:02) Create Book in React
⌨️ (42:02) Edit Book in React
⌨️ (44:27) Delete Book in React
⌨️ (46:35) Show Books List as Card
⌨️ (52:30) Make Book Card a single component
⌨️ (54:08) Add Book Modal
⌨️ (58:06) Improve User Experience (UX) with beautiful alert
⌨️ (1:01:43) Outro

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

--

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Learn how to use Next.js to build an SEO-optimized blog using. Also, use TailwindCSS, contentlayer, Supabase, an dmore. The course covers building a homepage, blog pages, category pages, an about page, and a contact page. Also, you'll learn to implementing powerful SEO strategies for higher Google rankings. Our blog features both dark and light themes, offering a minimal and elegant design that's fully responsive on mobile devices. Plus, you'll discover how to showcase your Markdown-based blogs easily on this website.

Course developed by @CodeBucks

Watch the final section of this course here: https://youtu.be/1QGLHOaRLwM?si=TnQmWgGoL6ferRIu&t=19896

Demo Link: https://create-blog-with-nextjs.vercel.app/

✏️ Starter Code: https://github.com/codebucks27..../Nextjs-contentlayer
✏️ Final Code: https://github.com/codebucks27..../Nextjs-tailwindcss-

⭐️ Contents ⭐️
⌨️ (0:00:00) Intro + Demo
⌨️ (0:10:10) Setup and Installation
⌨️ (0:13:34) Tailwind CSS Setup, Dark Mode and project files
⌨️ (0:19:09) Adding Fonts
⌨️ (0:26:56) Navbar Component
⌨️ (0:46:31) Setup Contentlayer
⌨️ (1:08:31) How to render a Blog
⌨️ (1:13:11) Creating Home Cover Section
⌨️ (1:34:16) Featured Posts Component
⌨️ (1:50:11) Recent Posts Component
⌨️ (2:00:46) Footer Component
⌨️ (2:16:31) Blog Page
⌨️ (3:02:06) Creating TOC Component
⌨️ (3:20:51) Category Page
⌨️ (3:45:31) About page
⌨️ (3:58:26) Contact page
⌨️ (4:14:11) Insights Component
⌨️ (4:23:41) Store blog views using Supabase
⌨️ (4:49:16) Adding SEO
⌨️ (5:18:36) Adding Dark Mode
⌨️ (5:30:36) Making it Responsive

Watch the final section of this course here: https://youtu.be/1QGLHOaRLwM?si=TnQmWgGoL6ferRIu&t=19896
⌨️ Adding Sitemap
⌨️ Image Optimization
⌨️ Adding Favicon and manifest file
⌨️ Adding google's structured json-ld for SEO

Correction:
6:55:15 We have created one file called ThemeScript.js but that is not needed. Instead, just add id and strategy to the script that is in the layout.js file.

🎉 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
👾 Oscar Rahnama

--

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

🔥 Post Graduate Program In Data Engineering: https://www.simplilearn.com/pgp-data-engineering-certification-training-course?utm_campaign=9June2023DataEngineerRoadmap2023&utm_medium=Descriptionff&utm_source=youtube

This "Data engineer roadmap" Video By Simplilearn is a guide that outlines the essential skills and knowledge needed to become a successful data engineer. This tutorial covers a range of topics, starting with core concepts such as databases, SQL, and data modeling. From there, it progresses to data integration and ETL processes, including batch processing and real-time data pipelines. The roadmap also includes learning about distributed systems and technologies like Apache Hadoop and Apache Spark, as well as cloud platforms like AWS, Azure, and GCP. Overall, the data engineer roadmap provides a comprehensive path for acquiring the necessary expertise in data engineering. By following this roadmap, aspiring or experienced data engineers can develop the skills needed to design, construct, and maintain data infrastructure and systems, and contribute to building robust and scalable data solutions.

Below are Following Topics Covered in this Video:

00:00 Introduction to Data Engineer Roadmap
02:15 What is Data Engineering?
02:34 Why Pursue A Career in Data Engineering?
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06:04 Data Engineer Skillset
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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.

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Welcome to Micromouse, the fastest maze-solving competition on Earth. Join Onshape’s community of over 3 million CAD users by creating a free account here: https://Onshape.pro/Veritasium.

▀▀▀
A huge thank you to Peter Harrison for all of his help introducing us to the world of Micromouse – check out https://ukmars.org & https://micromouseonline.com.
Thank you to David Otten, APEC, and the All-Japan Micromouse Competition for having us.
Thank you to Juing-Hei (https://www.youtube.com/@suhu9379) & Derek Hall (https://www.youtube.com/@MicroMouse) for usage of their micromouse videos.
Thank you to John McBride, Yusaku Kanagawa, and Katie Barnshaw for their help with Japanese translations.

▀▀▀
References:
Claude Shannon Demonstrates Machine Learning, AT&T Tech Channel Archive - https://ve42.co/ClaudeShannon
Mighty mouse, MIT News Magazine - https://ve42.co/MightyMouse
History, Micromouse Online Blog - https://ve42.co/MMHistory
Christiansen, D. (1977). Spectral lines: Announcing the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 14, no. 5, pp. 27-27 - https://ve42.co/Christiansen1977
Allan, R. (1979). Microprocessors: The amazing micromice: See how they won: Probing the innards of the smartest and fastest entries in the Amazing Micro-Mouse Maze Contest. IEEE Spectrum, vol. 16, no. 9, pp. 62-65, - https://ve42.co/Allan1979
1977-79 – “MOONLIGHT SPECIAL” Battelle Inst. (American), CyberNetic Zoo - https://ve42.co/MoonlightSpecial
Christiansen, D. (2014). The Amazing MicroMouse Roars On. Spectral Lines - https://ve42.co/Christiansen2014
1986 - MicroMouse history, competition & how it got started in the USA, via YouTube - https://ve42.co/MMArchiveYT
The first World Micromouse Contest in Tsubuka, Japan, August 1985 [1/2] by TKsTclip via YouTube - https://ve42.co/MMTsukubaYT
IEEE. (2018). Micromouse Competition Rules - https://ve42.co/IEEERules
Tondra, D. (2004). The Inception of Chedda: A detailed design and analysis of micromouse. University of Nevada - https://ve42.co/Tondra2004
Braunl, T. (1999). Research relevance of mobile robot competitions. IEEE Robotics & Automation Magazine, vol. 6, no. 4, pp. 32-37 - https://ve42.co/Braunl1999
All Japan Micromouse 2017 by Peter Harrison, Micromouse Online - https://ve42.co/RedComet
Winning record of the national competition micromouse (half size) competition. mm3sakusya @ wiki (Google translated from Japanese) - https://ve42.co/JapanFinishTimes
The Fosbury Flop—A Game-Changing Technique, Smithsonian Magazine - https://ve42.co/FosburyFlop
Gold medal winning heights in the Men's and Women's high jump at the Summer Olympics from 1896 to 2020, Statistica - https://ve42.co/HighJump
Zhang, H., Wang, Y., Wang, Y., & Soon, P. L. (2016). Design and realization of two-wheel micro-mouse diagonal dashing. Journal of Intelligent & Fuzzy Systems, 31(4), 2299-2306. - https://ve42.co/Zhang2016
Micromouse Turn List, Keri’s Lab - https://ve42.co/MMTurns
Green Ye via YouTube - https://ve42.co/Greenye
Classic Micromouse, Excel 9a. Demonstrate fan suction, by TzongYong Khiew via YouTube - https://ve42.co/MMFanYT
Vacuum Micromouse by Eliot, HACKADAY - https://ve42.co/MMVacuum

▀▀▀
Special thanks to our Patreon supporters:
Emil Abu Milad, Tj Steyn, meg noah, Bernard McGee, KeyWestr, Amadeo Bee, TTST, Balkrishna Heroor, John H. Austin, Jr., 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, Ubiquity Ventures, Richard Sundvall, Lee Redden, Stephen Wilcox, Marinus Kuivenhoven, Michael Krugman, Sam Lutfi.

▀▀▀
Written by Tom Lum and Emily Zhang
Edited by Trenton Oliver
Animated by Ivy Tello
Coordinated by Emily Zhang
Filmed by Yusaku Kanagawa, Emily Zhang, and Derek Muller
Additional video/photos supplied by Getty Images and Pond5
Music from Epidemic Sound
Thumbnail by Ren Hurley and Ignat Berbeci
References by Katie Barnshaw
Produced by Derek Muller, Petr Lebedev, and Emily Zhang

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

Наверняка многие слышали о красном смещении света далёких галактик и звёзд, которое происходит из-за того, что расширяющаяся Вселенная «растягивает» фотоны по пути к Земле. Но означает ли это, всё остальное тоже растягивается: атомы, молекулы, объекты, вы? Об этом расскажет Дерек в новом видео c канала Veritasium.

Перевод: Елена Смотрова
Редактура: Алексей Малов
Научная редактура: Кирилл Циберкин
Озвучка: Дмитрий Чепусов
Монтаж звука: Андрей Фокин
Монтаж видео: Дмитрий Машкович

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

Pavel Dunaev, Oleksii, Yegor Barakovskiy, mrwiseguy351, Ігор Дорохов, Mikhail Stolpovskiy, Rashid Nasibulin, opperatius, Dina Kruchina, Alena, Vitaliy Vachynyuk, Ника Калмыкова, Nadia Kilgishova, Роман Чурин, Aiorraro, Евгений Сельменев, Alex Afalex, Anton Kudashov, Владимир Кашутин, Pavel Parpura, Anton Bolotov, Yevhen, Sergei W, Kosoy, Данил Рягузов, Михаил Панькин, Anton Makiievskyi, Максим 'Sheridan' Горлов, Katoto Chan, Stanislav K, Edward Ben Rafael, Юрий Медведев, Анна Троссман, Serj Skidan, Andrei Chitaev, L Marchenko, Sultan Ishankulov, Александр Яковлев, Mike Sviblov, Andrey Rusanov, Inna Klymenko, Dima Chumakov, Dmitriy Lashtaba, Olesya Bolobova, Ilya Alexeevsky, Alexander Balynskiy, Максим Иванов, Ольга Канкулова, Alexander, Viktor Lova, Maria Tronina, Sergii Cherepanov, Alexander Gorodok, Ivan Iakimov, Alexander Zimin, Евгений Миф, Виталий Пастушенко, Serj Kravchuk, Claudia Barzaeva, Pandaben, Monza UA, Lirin Alex, Pavel D, Konstantin Pesyakov, Denis Titusov, Alterien, Viktoria, Alexandr Globov, Oleg Streltsov, Olga Podolskaya, Alexey Kukushkin, F23D24, Пугачёв Пётр, Olga Shistareva, Kamerton_440, Alex Katkov, Alexey, Irina Shakhverdova, Vladimir Grachev, Dmitriy Omelyansky, Maria Burtseva, Aleksey Sazonov, Vladimir Goshev, Vladyslav Sokolenko, Дмитрий Мисюра, Anton Novozhenin, Spartak Kagramanyan, Александр Фалалеев, Evgeny Vrublevsky, Yuliia Zinko

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Разрешение на публикацию: https://bit.ly/2SFhrHZ
© https://www.youtube.com/user/1veritasium
Источник: https://youtu.be/9DrBQg_n2Uo

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

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

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/FkKPsLxgpuY

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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In this video, we will explore the groundbreaking concept of Retrieval Augmented Generation (RAG), a revolutionary approach at the forefront of natural language processing (NLP). RAG represents a significant leap forward in text generation methodologies, seamlessly blending retrieval mechanisms with generative models to unlock new possibilities in AI-driven communication. Throughout this session, we will unravel the intricate workings of RAG, diving deep into its architecture, principles, and practical applications. We'll embark on a journey to understand how retrievers, acting as gateways to vast knowledge repositories, empower generative models to produce contextually rich and factually accurate text outputs. Join us as we navigate the landscape of RAG, exploring its potential to revolutionize various NLP tasks, from question answering to content generation. By the end of this video, you'll have a comprehensive understanding of RAG's transformative impact on natural language understanding and generation. So, without further ado, let's dive into the world of Retrieval Augmented Generation.

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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.

✅ Key Features

- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools

✅ Skills Covered

- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…

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➡️ About Caltech Post Graduate Program In AI And Machine Learning

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.

✅ Key Features

- Simplilearn's JobAssist helps you get noticed by top hiring companies
- PGP AI & ML completion certificate from Caltech CTME
- Masterclasses delivered by distinguished Caltech faculty and IBM experts
- Caltech CTME Circle Membership
- Earn up to 22 CEUs from Caltech CTME
- Online convocation by Caltech CTME Program Director
- IBM certificates for IBM courses
- Access to hackathons and Ask Me Anything sessions from IBM
- 25+ hands-on projects from the likes of Twitter, Mercedes Benz, Uber, and many more
- Seamless access to integrated labs
- Capstone projects in 3 domains
- 8X higher interaction in live online classes by industry experts

✅ Skills Covered

- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- Recommendation Systems
- NLP
- Neural Networks
- GANs
- Deep Learning
- Reinforcement Learning
- Speech Recognition
- Ensemble Learning
- Computer Vision

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🔥🔥 *Interested in Attending Live Classes? Call Us:* IN - 18002127688 / US - +18445327688