Neural engine смотреть последние обновления за сегодня на .
Что такое система Neural Engine, для чего она нужна в процессорах iPhone и почему без неё, в последних поколениях смартфонов Apple, никак не обойтись. Купить iPhone со скидочкой в BigGeek: 🤍 Промокод: NEWTONLABS Подпишись на канал! 🤍 Telegram: 🤍 Instagram: 🤍 Instagram: 🤍 TikTok: 🤍 Twitter: 🤍 #neuralengine #apple #iphone
If you wish to support us in creating fun, informative content, please consider giving at our Patreon site here: 🤍 Thank you! This one's been requested a lothope you enjoy! Wherein Dr. Know-it-all discusses Apple’s new M1 chip, with an integrated System on Chip, and of special interest, the neural engine. How will this RISC/ARM based computer chip hold up to the IBM hegemony? How will the M1 do on battery life? And especially, what the heck is the neural engine, and how does it help AI and Machine Learning. What is the common use-case for the M1 Neural Engine? Could a Mac Mini train real world Machine Learning models? Watch and find out! You can help support this channel with one click! We have an Amazon Affiliate link in several countries. If you click the link for your country, anything you buy from Amazon in the next several hours gives us a small commission, and costs you nothing. Thank you very much for helping support the channel by clicking our link and shopping on Amazon! (If you live in a country not listed here, please let us know and we will add it!) USA: 🤍 Germany: 🤍 United Kingdom: 🤍 France: 🤍 Spain: 🤍 If you would like to purchase a more powerful wireless iPhone/Android charger for your Tesla Model 3 or Model Y, check this link: 🤍 If you use the coupon code DRKNOW on your order, it will automatically take off the price of the 64GB MicroSD card, which is very nice! If you are looking to purchase a new Tesla and would like 1,000 free Supercharger miles, just click this link and use our referral link: 🤍 Thank you! Music by Zenlee. Check out his amazing music on instagram —🤍zenlee_music or Youtube — 🤍 If you enjoy more outdoorsy, adventure type videoslike climbing the Matterhorn or trekking to Mount Everest Base campand a few product reviews too, please check out our sister channel, Whole Nuts and Donuts, right here: 🤍 Please ask questions in the comments below, or at: DrKnowItAllKnows🤍gmail.com. Thank you! Twitter: 🤍jkundert Instagram: 🤍johnthekg Links: 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍
Taking machine learning out for a spin on the new M2 Max and M2 Pro MacBook Pros, and comparing them to the M1 Max, M1 Ultra, and RTX3070. get TG Pro for yourself: 🤍 👀 *More gear I use:* (including course creation and youtube stuff): 🤍 Thanks to Peter Lin for his examples (his repos down below). ▶️ Apple Silicon and Developers Playlist - 🤍 TensorFlow Metal Backend on Apple Silicon Experiments - 🤍 Tensorflow training scripts - 🤍 ML MacOS Performance - 🤍 #m2pro #m2max #machinelearning 💻NativeScript training courses — 🤍 (Take 15% off any premium NativeScript course by using the coupon code YT2020) 👕👚iScriptNative Gear - 🤍 — — — — — — — — — ❤️ SUBSCRIBE TO MY YOUTUBE CHANNEL 📺 Click here to subscribe: 🤍 — — — — — — — — — 🏫 FREE COURSES NativeScript Core Getting Started Guide (Free Course) - 🤍 NativeScript with Angular Getting Started Guide (Free Course) - 🤍 Upgrading Cordova Applications to NativeScript (Free Course) - 🤍 — — — — — — — — — 📱LET'S CONNECT ON SOCIAL MEDIA ALEX ON TWITTER: 🤍 NATIVESCRIPTING ON TWITTER: 🤍
NVIDIA researchers have developed an #AI pipeline, known as the Neural Reconstruction Engine, that constructs a 3D scene from recorded sensor data in NVIDIA DRIVE Sim. First demonstrated at #GTC22, these AI tools bring the real world directly in simulation to increase realism and speed up #autonomousvehicle production. NRE uses multiple AI networks to create interactive 3D test environments where developers can modify the scene and see how the world reacts. Developers can change scenarios, add synthetic objects, and apply randomizations—such as a child following a bouncing ball into the road—making the initial scenarios even more challenging.
DaVinci Resolve Studio vs Free Version... Which one is for you? In this video, I show you a few Studio 18.6 (& 18.5) Neural Engine effects & features. ⚡︎ Audiio 🔥 [$300 OFF Lifetime Subscription! - Use Code: JORIS199] 👉🏻 🤍 ⚡︎ VFX & Animated Titles I use: 🤍 MY CREATOR ESSENTIALS ⚡︎ How I Color Grade My Videos: 🤍 ⚡︎ IGNITE IS LIVE: 🤍 ⚡︎ Photo Editing: 🤍 ⚡︎ Video Editing: 🤍 → For BUSINESS inquiries: hello🤍jorishermans.com ⚡︎ Join me on INSTAGRAM: 🤍 ⚡︎ Join me on TWITTER: 🤍 ⚡︎ WORK & BIO: 🤍 MY GEAR ↓↓↓ Daily Camera: 🤍 Most used VLOG lens: 🤍 Most used lens [Prime]: 🤍 B-Camera: 🤍 Lens for B-Cam: 🤍 Gimbal: 🤍 Drone: 🤍 Vlog Mic: 🤍 CINEMATIC Mist Filters: 🤍 Variable ND Filter: 🤍 Studio Mic: 🤍 Godox Studio Light: 🤍 00:00 Intro 00:13 What is Neural Engine? 00:54 Face Recognition 02:42 Object Removal 03:49 Smart Reframe 05:28 Voice Isolation 06:26 Scene Cut Detection 06:58 Depth Map 08:27 Face Refinement LINKS USED IN THE DESCRIPTION MAY OR MAY NOT BE AFFILIATE LINKS As an Amazon Associate I earn from qualifying purchases.
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*Note: 1+ Years of Work Experience Recommended to Sign up for Below Programs⬇️ 🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): 🤍 🔥AI Engineer Masters Program (Discount Code - YTBE15): 🤍 🔥AI & Machine Learning Bootcamp(US Only): 🤍 🔥 Purdue Post Graduate Program In AI And Machine Learning: 🤍 This video on "What is a Neural Network" delivers an entertaining and exciting introduction to the concepts of Neural Network. We will learn the different layers present in a Neural Network and understand how these layers process data. We will get an idea of the different parameters used in a Neural Network such as weights, bias, and activation functions. We will also understand how to train a Neural Network using forward propagation and then adjust to the errors in the network using the backpropagation method. This video also covers a few popular Neural Network applications. Now, let us jump straight into learning what is a Neural Network. 0:00 What is a Neural Network? 0:33 How Neural Networks work? 03:43 Neural Network examples 04:21 Quiz 04:52 Neural Network applications Don't forget to take the quiz at 04:21 To learn more about Deep Learning, subscribe to our YouTube channel: 🤍 Download the Artificial Intelligence Career Guide and take a sneak peek into the world that awaits you: 🤍 Watch more videos on Deep Learning: 🤍 #NeuralNetwork #WhatIsANeuralNetwork #WhatAreNeuralNetworks #DeepLearningAndNeuralNetworks #DeepLearning #ArtificalNeuralNetwork #NeuralNetworkExplained #WhatIsDeepLearning #DeepLearningTutorial #DeepLearningCourse #DeepLearningExplained #Simplilearn ➡️ 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 👉 Learn More At: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688 🎓Enhance your expertise in the below technologies to secure lucrative, high-paying job opportunities: 🟡 AI & Machine Learning - 🤍 🟢 Cyber Security - 🤍 🔴 Data Analytics - 🤍 🟠 Data Science - 🤍 🔵 Cloud Computing - 🤍
Found this talk while I was catching up on Apple ML talks from WWDC 2023. Apple has created some incredible tooling improvements for their Neural Engine CoreML V7 library! 30% performance improvements, weight compression to make it possible to run stable diffusion on IOS devices as well! Github: 🤍 Hugging Face: 🤍 Full Apple Presentation: 🤍
PyTorch finally has Apple Silicon support, and in this video 🤍mrdbourke and I test it out on a few M1 machines. ▶️ Apple M1 and Developers Playlist - my tests so far - 🤍 Daniel Bourke's courses page: 🤍 Daniel's YouTube channel: 🤍 Daniel's PyTorch course: 🤍 Sebastien Raschka blog post on Pytorch on M1 GPU: 🤍 His GitHub repo for this benchmark: 🤍 #m1 #m1ultra #applesilicon #pytorch #softwaredevelopment #ml #machinelearning #machinelearningpython 💻NativeScript training courses — 🤍 (Take 15% off any premium NativeScript course by using the coupon code YT2020) 👕👚iScriptNative Gear - 🤍 — — — — — — — — — ❤️ SUBSCRIBE TO MY YOUTUBE CHANNEL 📺 Click here to subscribe: 🤍 — — — — — — — — — 🏫 FREE COURSES NativeScript Core Getting Started Guide (Free Course) - 🤍 NativeScript with Angular Getting Started Guide (Free Course) - 🤍 Upgrading Cordova Applications to NativeScript (Free Course) - 🤍 — — — — — — — — — 📱LET'S CONNECT ON SOCIAL MEDIA ALEX ON TWITTER: 🤍 NATIVESCRIPTING ON TWITTER: 🤍
The Apple M1 chip has been making waves in the computing world due to its impressive performance and energy efficiency. One of the major components that contribute to its special capabilities is the Neural Engine. In this video, we'll dive deeper into the Neural Engine of the M1 and M2 chips and how it improves MacBook Air, MacBook Pro, Mac Mini, and iMacs in 2023. The Neural Engine is a dedicated chip that is integrated into the both M1 and M2 chips. It is designed to accelerate machine learning tasks, which require massive amounts of data processing and pattern recognition. This makes the M1 and M2 chips ideal for tasks such as image and speech recognition, natural language processing, and computer vision. The Neural Engine consists of multiple cores that work in parallel, each capable of performing a large number of calculations simultaneously. This allows the chip to perform machine learning tasks faster and more efficiently than traditional CPUs. One of the key features of the Neural Engine is its ability to perform inference tasks, which involve using trained models to make predictions or classifications based on new data. This allows the chip to perform complex tasks such as facial recognition and object detection in real-time. The Neural Engine also features a variety of specialized hardware components that are optimized for specific machine learning tasks. The engine includes a Matrix Multiply Unit that is specifically designed to perform matrix multiplication, a key operation in many machine learning algorithms. Another key component of the Neural Engine is the Memory Engine, which is responsible for managing the chip's memory access. The Memory Engine is designed to be highly efficient and reduce the amount of data that needs to be transferred between different parts of the chip, which helps to minimize energy consumption and improve performance. The Neural Engine is also integrated with Apple's Core ML framework, which provides a range of tools and APIs that developers can use to create machine learning applications for the M1 chip. This allows developers to easily take advantage of the chip's capabilities without needing to have extensive knowledge of machine learning algorithms and techniques. One of the most impressive features of the Neural Engine is its ability to perform on-device machine learning, which means that machine learning tasks can be performed directly on the device without needing to send data to a remote server for processing. This provides several benefits, including faster processing times, improved privacy and security, and reduced network bandwidth requirements. In summary, the Neural Engine is a critical component of both M1and M2 chips that enables the chip to perform complex machine learning tasks faster and more efficiently than traditional CPUs. With its specialized hardware components and integration with Apple's Core ML framework, the Neural Engine provides developers with the tools they need to create powerful machine learning applications for the MacBook Air, MacBook Pro, Mac Mini, and iMac. Stay tuned for more updates on the release of Apple's M1 and M2.
Ever wondered how the famous neural networks work? Let's quickly dive into the basics of Neural Networks, in less than 60 seconds! ▬▬▬▬▬▬▬▬▬▬▬▬ CONNECT ▬▬▬▬▬▬▬▬▬▬▬▬ 🖥️ Website: 🤍 🐦 Twitter: 🤍 🦾 Discord: 🤍 ▶️ Subscribe: 🤍 🔥 We're hiring! Check our open roles: 🤍 ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ #MachineLearning #DeepLearning #neuralnetworks
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Date of stream 22 Nov 2020. Live-stream chat added as Subtitles/CC - English (Twitch Chat). Stream title: tinygrad: triggering the Apple Neural Engine from C Source files: - 🤍 Tools: - 🤍 - 🤍 Follow for notifications: - 🤍 Support George: - 🤍 Programming playlist: - 🤍 George Hotz Gear: - Apple 13-inch MacBook Air M1 Chip with 8‑Core CPU 7‑Core GPU 256GB Storage - tmux & Vim and other 🤍 We are not affiliated with comma.ai. Official communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 How to get a job: - 🤍 How to collaborate: - 🤍 Buy things to support comma.ai: - 🤍 Are you interested in openpilot? Knowledge base: - 🤍 Check out the code: - 🤍 Is my car supported? - 🤍 Frequently Asked Questions: - 🤍 How to setup openpilot: - 🤍 Comma Secure Shell: - 🤍 API Documentation: - 🤍 CAN analysis tool: - 🤍 Review and annotate your driving data: - 🤍 Leaderboard: - 🤍 Comma Connect App: - 🤍 - 🤍 Research: - 🤍 - 🤍 - 🤍 Official George Hotz communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 We archive George Hotz and comma.ai videos for fun. Follow for notifications: - 🤍 Unofficial communities and resources: - 🤍 - 🤍 - 🤍 Thank you for reading and using the SHOW MORE button. We hope you enjoy watching George's videos as much as we do. See you at the next video.
A short demonstration of how to enable neural engine de-interlacing in DaVinci Resolve 17. #resolve17 #davinci #coloristtip
What are the neurons, why are there layers, and what is the math underlying it? Help fund future projects: 🤍 Written/interactive form of this series: 🤍 Additional funding for this project provided by Amplify Partners Typo correction: At 14 minutes 45 seconds, the last index on the bias vector is n, when it's supposed to in fact be a k. Thanks for the sharp eyes that caught that! For those who want to learn more, I highly recommend the book by Michael Nielsen introducing neural networks and deep learning: 🤍 There are two neat things about this book. First, it's available for free, so consider joining me in making a donation Nielsen's way if you get something out of it. And second, it's centered around walking through some code and data which you can download yourself, and which covers the same example that I introduce in this video. Yay for active learning! 🤍 I also highly recommend Chris Olah's blog: 🤍 For more videos, Welch Labs also has some great series on machine learning: 🤍 🤍 For those of you looking to go *even* deeper, check out the text "Deep Learning" by Goodfellow, Bengio, and Courville. Also, the publication Distill is just utterly beautiful: 🤍 Lion photo by Kevin Pluck - Timeline: 0:00 - Introduction example 1:07 - Series preview 2:42 - What are neurons? 3:35 - Introducing layers 5:31 - Why layers? 8:38 - Edge detection example 11:34 - Counting weights and biases 12:30 - How learning relates 13:26 - Notation and linear algebra 15:17 - Recap 16:27 - Some final words 17:03 - ReLU vs Sigmoid Correction 14:45 - The final index on the bias vector should be "k" Animations largely made using manim, a scrappy open source python library. 🤍 If you want to check it out, I feel compelled to warn you that it's not the most well-documented tool, and has many other quirks you might expect in a library someone wrote with only their own use in mind. Music by Vincent Rubinetti. Download the music on Bandcamp: 🤍 Stream the music on Spotify: 🤍 If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people. 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: 🤍 Various social media stuffs: Website: 🤍 Twitter: 🤍 Patreon: 🤍 Facebook: 🤍 Reddit: 🤍
In this video, we explore how Apple's Neural Engine is set to reinforce the generative AI market. We'll look at how the Neural Engine works and how it can be used to create more advanced AI applications. We'll also discuss the impact that this technology could have on the future of AI and what it means for developers and businesses alike.
🤍 This side-by-side comparison shows how it dramatically improves video quality for slow motion editing cuts using artificial intelligence. The left image is a 4 K clip at 25 FPS which has been slowed down to 20% of the original frame rate or 5 FPS. Obviously this is not usable. The center image shows the result of applying Optical Flow to the clip on the left. Optical Flow. Optical Flow, therefore, interpolates 20 of the 25 frames. That is quite a feat! And the video motion is perfectly smooth. Of course, you can see that not all of the video is correct. Some objects like the car windows and the taxi sign & mirror, are distorted and wobbly. The image on the right shows the result of applying Speed Warp to the center image. Speed Warp uses Blackmagic Design's Neural image to correct distortion in the video clip. In this clip, you can see, even when looking closely, that the previously distorted elements are improved dramatically. By combining Optical Flow and Speed Warp to a slow motion clip, it is possible to use slow motion from scenes where it would have been impossible before. Optical Flow is a GPU accelerated effect. Speed Warp is GPU accelerated using NVIDIA's Tensor Cores to apply the AI in Blackmagic Designs Neural Engine.
🚀 Visit 🤍 to start learning STEM for FREE! First 200 get 20% off their annual premium subscription! 4 Avalanche high-performance cores. 4 Blizzard high-efficiency cores. Up to 10 G14 Graphics Cores. 16 5th generation Neural Engine Cores. But, we’re increasingly living in a post-big-core world, and Apple recognized that earlier and better than anyone, so tack on a new image signal processor, or ISP. New Secure Enclave, and expanded video encode and decode blocks, including hardware acceleration for 8K ProRes video. Basically increasing performance while preserving battery life, and kicking off the next generation of Apple silicon Macs! 🍪 More on Apple silicon: 🤍 🙏 PATREON THANK YOU! Get access to exclusive Discord, previews, even your name in this description or credits! 🤍 James Hillhouse, Rick Vink, John Malkin, Ryan Parman, Paco Arango, Chad Potts, Shashank, Richard Urbano, Rod Gray, Daniel Pasco, Mark Lussier, Martin Perry, Christopher Wiggins, Dude, Jon Wheeler, Josef, Frederick Lakes Jr., Aziz Rahman, Sven Jasper 🔗 LINKS AnandTech on A15: 🤍 🗂 CHAPTERS 🚨 ETHICS & DISCLAIMER This channel does not produce sponsored or paid reviews. Companies occasionally loan sample products to facilitate reviews but provide no payment and get no editorial input, content approval, or advanced previews. They see them for the first time when you do. Links may contain referrals for affiliate programs that provide this channel with a tiny commission should you make a purchase. They likewise receive zero editorial input or consideration. 🍎 Some video and images courtesy of Apple Inc. 📷 Some video and imagery supplied by Getty Images and/or AP Archives 🎸 Some music supplied by Epidemic MORE ⭐️ Nebula: 🤍 🐦 Twitter: 🤍 📸 Instagram: 🤍 🌎 Web: 🤍 🍎 Podcasts: 🤍 🌥 Overcast: 🤍 👖 Pocket Cast: 🤍 Thanks for watching, see you next video!
We are testing if and how we can trigger the Neural Engine on the M1 Macbook Air to do Machine Learning. 00:00 Intro 02:02 Predicting 05:40 Training 07:50 Coremltoools (python) 09:05 Outro
Date of stream 12 Dec 2020. Live-stream chat added as Subtitles/CC - English (Twitch Chat). Stream title: tinygrad: 3.3k stars! transformer and Apple Neural Engine Source files: - 🤍 Follow for notifications: - 🤍 Support George: - 🤍 Programming playlist: - 🤍 George Hotz Gear: - LG UltraFine 5K Display - Blue Yeti microphone - Apple Magic Keyboard - Apple 13-inch MacBook Air M1 Chip with 8‑Core CPU 7‑Core GPU 256GB Storage - tmux & Vim and other 🤍 We are not affiliated with comma.ai. Official communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 How to get a job: - 🤍 How to collaborate: - 🤍 Buy things to support comma.ai: - 🤍 Are you interested in openpilot? Knowledge base: - 🤍 Check out the code: - 🤍 Is my car supported? - 🤍 Frequently Asked Questions: - 🤍 How to setup openpilot: - 🤍 Comma Secure Shell: - 🤍 API Documentation: - 🤍 CAN analysis tool: - 🤍 Review and annotate your driving data: - 🤍 Leaderboard: - 🤍 Comma Connect App: - 🤍 - 🤍 Research: - 🤍 - 🤍 - 🤍 Official George Hotz communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 We archive George Hotz and comma.ai videos for fun. Follow for notifications: - 🤍 Unofficial communities and resources: - 🤍 - 🤍 - 🤍 Thank you for reading and using the SHOW MORE button. We hope you enjoy watching George's videos as much as we do. See you at the next video.
Apple Neural Engine - A-Series Chipset incorporate advanced neural engines, which are specialized hardware components designed for AI and machine learning tasks. Policy: This content is provided for educational purposes. #shorts #2023 #fyp #foryou #history #historyfacts #dailydose #glastonbury #glastonburyfestival #glastonbury2023 #diablo #diablo4 #greece #ancient #ancienthistory #lostinfacts #tech #technology #gadgets #gadget #computer #pc #pcgaming #vr #augmentedreality #virtualreality #apple #applevisionpro #visionpro #samsung #xiaomi #gadgetin #first #mindblowing #analog #mechanical #mechanic #mechanism #indonesia #msc #mpl #mplid #VirtualReality #History #Innovation #Technology #SwordOfDamocles #IvanSutherland #VRDevelopment #HeadMountedDisplay #RevolutionaryTechnology #DigitalExperiences #ImmersiveTechnology #1968 #PioneeringVision #EmergingTech #VRBeginnings #SutherlandLegacy #EvolutionOfVR #ImmersiveStorytelling #VRRevolution #FutureTech #VirtualWorlds #GameChanger #VirtualExperience #TechHistory #VRAdventures #ComputerGraphics #IvanSutherlandLegacy #ImmersiveJourney #VirtualEnvironment #ImmersiveSimulation #InteractiveTechnology #VRInsights #VRInventions #DigitalImagination #VirtualSociety #VirtualInnovation #VRConcepts #IvanSutherlandInvention #VirtualAdventure
Date of stream 21 Nov 2020. Live-stream chat added as Subtitles/CC - English (Twitch Chat). Stream title: tinygrad: neural engine on M1? Source files: - 🤍 Follow for notifications: - 🤍 Support George: - 🤍 Programming playlist: - 🤍 George Hotz Gear: - Apple 13-inch MacBook Air M1 Chip with 8‑Core CPU 7‑Core GPU 256GB Storage - tmux & Vim and other 🤍 We are not affiliated with comma.ai. Official communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 How to get a job: - 🤍 How to collaborate: - 🤍 Buy things to support comma.ai: - 🤍 Are you interested in openpilot? Knowledge base: - 🤍 Check out the code: - 🤍 Is my car supported? - 🤍 Frequently Asked Questions: - 🤍 How to setup openpilot: - 🤍 Comma Secure Shell: - 🤍 API Documentation: - 🤍 CAN analysis tool: - 🤍 Review and annotate your driving data: - 🤍 Leaderboard: - 🤍 Comma Connect App: - 🤍 - 🤍 Research: - 🤍 - 🤍 - 🤍 Official George Hotz communication channels: - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 - 🤍 We archive George Hotz and comma.ai videos for fun. Follow for notifications: - 🤍 Unofficial communities and resources: - 🤍 - 🤍 - 🤍 Thank you for reading and using the SHOW MORE button. We hope you enjoy watching George's videos as much as we do. See you at the next video.
Apple's latest M1 chip is two older chips bolted together, Dr. Steve Bagley explains how they made it work the same as a single chip. 🤍 🤍 This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: 🤍 Computerphile is a sister project to Brady Haran's Numberphile. More at 🤍
Real-Time Neural Appearance Models. Hello everyone! Today, we're talking about the latest breakthrough from #NVIDIA. They've developed a new neural engine that can render ultra-realistic video in real-time. This means we're entering a new era of graphics and video processing that's faster and more advanced than ever before. In this video, we'll explore what this new technology can do, and how it's set to revolutionize a range of industries. So, without further ado, let's dive in! Our Discord server ⤵️ 🤍 If I have been of assistance to you and you would like to show your support for my work, please consider becoming a patron on 🥰 ⤵️ 🤍 Technology & Science: News, Tips, Tutorials, Tricks, Best Applications, Guides, Reviews ⤵️ 🤍 Playlist of StableDiffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img ⤵️ 🤍 Paper and the video link ⤵️ 🤍 Info from the paper Abstract We present a complete system for real-time #rendering of scenes with complex appearance previously reserved for offline use. This is achieved with a combination of algorithmic and system level innovations. Our appearance model utilizes learned hierarchical textures that are interpreted using neural decoders, which produce reflectance values and importance-sampled directions. To best utilize the modeling capacity of the decoders, we equip the decoders with two graphics priors. The first prior—transformation of directions into learned shading frames—facilitates accurate reconstruction of mesoscale effects. The second prior—a microfacet sampling distribution—allows the neural decoder to perform importance sampling efficiently. The resulting appearance model supports anisotropic sampling and level-of-detail rendering, and allows baking deeply layered material graphs into a compact unified neural representation. By exposing hardware accelerated tensor operations to ray tracing shaders, we show that it is possible to inline and execute the neural decoders efficiently inside a real-time path tracer. We analyze scalability with increasing number of neural materials and propose to improve performance using code optimized for coherent and divergent execution. Our neural material shaders can be over an order of magnitude faster than non-neural layered materials. This opens up the door for using film-quality visuals in real-time applications such as games and live previews. 1 INTRODUCTION Recent progress in rendering algorithms, light transport methods, and ray tracing hardware have pushed the limits of image quality that can be achieved in real time. However, progress in real-time material models has noticeably lagged behind. While deeply layered materials and sophisticated node graphs are commonplace in offline rendering, such approaches are often far too costly to be used in real-time applications. Aside from computational cost, sophisticated materials pose additional challenges for importance sampling and filtering: highly detailed materials will alias severely under minification, and the complex multi-lobe reflectance of layered materials causes high variance if not sampled properly. Recent work in neural appearance modelling [Kuznetsov et al. 2022; Sztrajman et al. 2021; Zheng et al. 2021] has shown that multilayer perceptrons (MLPs) can be an effective tool for appearance modelling, importance sampling, and filtering. Nevertheless, these models do not support film-quality appearance; a scalable solution that can handle high-fidelity visuals at real time has yet to be demonstrated. In this paper, we set our goal accordingly: to render film-quality materials, such as those used in the #VFX industry, in real time. These materials prioritize realism and visual fidelity, relying on very high-resolution textures. Layering of reflectance components, rather than an uber-shader, is used to generate material appearance yielding arbitrary BRDF combinations with hundreds of parameters. For these reasons, porting to real-time application is challenging. In order to render film-quality appearance in real time we i) carefully cherry-pick components from prior works, ii) introduce algorithmic innovations, and iii) develop a scalable solution for inlining neural networks in the innermost rendering loop, both for classical rasterization and path tracing. We choose to forgo editability in favor of performance, effectively “baking” the reference material into a neural texture interpreted by neural networks. Our model can thus be viewed as an optimized representation for fast rendering, which is baked (via optimization) after editing has taken place.
I am curious why the SEP (Secure Enclave Processor) firmware decryption key of the iPhone XR has been leaked for more than a year and no one has disclosed the machine learning model of FaceID. After I reverse engineered SEP, I found that SEP does include all the FaceID software logic including facial feature comparison. Even the iv and key used to decrypt the parameters of the FaceID neural network are stored in the SEP firmware in plaintext... By: Wish Wu Full Abstract & Presentation Materials: 🤍
Seit einigen Jahren stattet Apple seine Prozessoren mit einer »Neural Engine« aus. Damit soll »Künstliche Intelligenz« beschleunigt werden. Der Beifall dafür fällt spärlich aus, in der Presse findet es kaum Beachtung. Zwar hören wir immer wieder, dass Künstliche Intelligenz in Zukunft sehr wichtig werden wird. Aber was haben wir heute davon? Das bleibt irgendwie nebulös. — Doch tatsächlich gibt es in iOS und macOS bereits zahlreiche tolle Funktionen, die nur dank der »Neural Engine« möglich sind. Apple gibt deswegen auch Vollgas und verbessert die Technik immer weiter. In der Sendung erläutert Jörn, was eine solche Engine überhaupt macht, was sie leisten muss und wofür es uns nützt. Besuche unsere feine Webseite, denn auf Youtube veroeffentlichen wir nur gelegentlich ein paar Videos als Reklame. Mehr als 2.500 Filme rund um Apple findest Du hier: 🤍 Der besondere Clou von Mac-TV ist unsere grosse Live-Sendung, fast jeden Sonntag ab 19 Uhr! Sei dabei, es macht grossen Spass!
Learn how the central processing unit (CPU) works in your computer. Compare performance and processor architecture between the Intel and Apple Silicon M1 chips with 🤍AZisk #compsci #tech #100SecondsOfCode 🔥 Subscribe to Alex's Channel 🔥 🤍 🔗 Resources Apple Silicon Breakdown 🤍 Visual CPU 🤍 Clock Speed 🤍 📚 Chapters 00:00 How a CPU Works 01:06 Instruction Cycle 02:25 Apple M1 vs Intel i9 06:10 Performance Benchmarking 9:06 Best Dev Stacks for M1 10:12 Worst Stacks for M1 11:55 Final Summary 🔥 Watch more with Fireship PRO Upgrade to Fireship PRO at 🤍 Use code lORhwXd2 for 25% off your first payment. 🎨 My Editor Settings - Atom One Dark - vscode-icons - Fira Code Font
Join our community- 🤍 Listen to the audio version of the full podcasts at - Spotify - 🤍 Google Podcast - 🤍 Apple Podcast - 🤍 This is the official channel for Dostcast, a podcast by Vinamre Kasanaa. Connect with me Instagram: 🤍 Twitter: 🤍 Dostcast on Instagram: 🤍 Dostcast on Facebook: 🤍 Dostcast on Snapchat: 🤍 Contact Us For business inquiries: dostcast🤍egiplay.com For collaborations: vinamre🤍dostcast.com I'm proud to announce that my new course 'Art of Reading and Writing Effectively' is now available to purchase on Skill91.com. With this course you will be getting: 🔥 Unlimited Access to 25+ Video Modules on Reading, Idea Generation, Online Writing Tools, and How to Write Like A Pro 🔥 15+ Writing Templates To Deliver Effective Writing 🔥 Tried-And-Tested Editing Masterclass 🔥 7 Day Writing Challenge To Help You Publish Your Work 🔥 Taught In Hinglish 🔥 Certificate of Completion You Will Learn: ✅ How To Make Reading & Writing Easy ✅ How To Never Run Out Of Ideas ✅ Myths About Grammar & Vocabulary ✅ The Right Way To Read ✅ How To Build Your Note-Taking System ✅ How To Get Over Your Fears ✅ How To Remember What You Read ✅ How To Consume High-Quality Information ✅ The Art of Curation ✅ Writing Through Prompts ✅ How To Build A Daily Reading Routine ✅ How To Build A Daily Writing Routine ✅ The Art of Journaling ✅ Free-writing ✅ How To Use Writing Templates ✅ How To Observe The World ✅ How To Write And Edit Your First Draft ✅ 7 Day Writing Challenge ✨ Start learning here: 🤍 ✨ #Dostcast #AI #NeuralNetwork
Apple has recently released updated "Premium" versions of their normal Text-To-Speech voices. Sadly third party apps can't use their Neural Engine voices but these Premium TTS voices is as good as it gets when it comes to normal Text-To-Speech. Voice Dream Reader is an app that you can use Apple's Premium TTS voices with, so I decided to do a comparison between the Neural Engine Voices that you can use in for example Amazon Kindle App or Apple Books, with the new Apple Premium voices that you can use in for example Voice Dream Reader. Personally I think the Neural Engine Voices is much better and more natural sounding, but be able to use at least Apple's Premium Voices in Voice Dream Reader is good when you want to turn an eBook into an Audiobook to listen at when you can't read or you don't want to read yourself. Watch video to hear the difference. Please subscribe: 🤍 #voicedream #kindle #tts
Apple M1 chip is here, and there's 3 new Macs to launch it. My thoughts! That crispy shirt! 🤍 0:00 Intro 1:43 The M1 Chip 4:13 The new Macs 7:04 My Take 10:17 FUTURE Tech I'm using right now: 🤍 Intro Track: 🤍 Playlist of MKBHD Intro music: 🤍 ~ 🤍 🤍 🤍
Is the iPhone XS' AI Neural Engine really 7x faster than the A11 in iPhone X? Well we don't know, but I tested my new iPhone XS against the iPhone 7 with the A10 chip.
In this project I built a neural network and trained it to play Snake using a genetic algorithm. Thanks for watching! Subscribe if you enjoyed and Share if you know anyone who would be interested! GitHub Repo: 🤍 Twitter: 🤍 Support me on Patreon: 🤍 Thanks to Josh Cominelli for the music! Soundcloud: 🤍
A video about neural networks, how they work, and why they're useful. My twitter: 🤍 SOURCES Neural network playground: 🤍 Universal Function Approximation: Proof: 🤍 Covering ReLUs: 🤍 Covering discontinuous functions: 🤍 Turing Completeness: Networks of infinite size are turing complete: Neural Computability I & II (behind a paywall unfourtunately, but is cited in following paper) RNNs are turing complete: 🤍 Transformers are turing complete: 🤍 More on backpropagation: 🤍 More on the mandelbrot set: 🤍 Additional Sources: Neat explanation of universal function approximation proof: 🤍 Where I got the hard coded parameters: 🤍 Reviewers: Andrew Carr 🤍 Connor Christopherson TIMESTAMPS (0:00) Intro (0:27) Functions (2:31) Neurons (4:25) Activation Functions (6:36) NNs can learn anything (8:31) NNs can't learn anything (9:35) ...but they can learn a lot MUSIC 🤍
The first 1000 people to use the link will get a free trial of Skillshare Premium Membership: 🤍 Is the M1 MacBook Pro actually good for machine learning? Let's find out. Twitter - 🤍 Instagram - 🤍 YouTube and PhD Gear: 🤍 My Favorite AI Books: 🤍 For business inquiries, contact jordanharrod🤍standard.tv Colab Notebook: 🤍 W&B Report: 🤍 Sources: 🤍 🤍 🤍 🤍 🤍 FCC: This video is sponsored by Skillshare
Giải thích: Apple Neural Engine trên iPhone, iPad, Macbook...! Thú vị nha Facebook Hưng Khúc: 🤍 Follow ThinkView để cùng chia sẻ công nghệ với chúng mình nhé: - Youtube ThinkView: 🤍 - Website ThinkView.vn: 🤍 - Fanpage ThinkView: 🤍 - Cộng đồng ThinkView & Friends: 🤍 - Tiktok ThinkView: 🤍 - Instagram ThinkView: 🤍 Kênh Game - Escape: 🤍 Bản quyền thuộc về ALPHA & ThinkView Copyright by ALPHA & ThinkView. Please do not Reup HỢP TÁC MỜI LIÊN HỆ: Mobile: Mr. Dương (+84 357252333) Email: Contact🤍thealpha.media Website: 🤍 #ThinkView #ALPHA
This video leaks Intel’s plans to integrate Apple-like Neural Engines into their mainstream SOCs by 2024. [SPONSOR: Install Raid for Free ✅ IOS/ANDROID/PC: 🤍 and get a special starter pack 💥 Available only for the next 30 days] 0:00 I missed a key detail in my Lunar Lake Info...until now! 1:50 SPONSORED AD 3:19 Is it a “Visual Processing Unit” or a “Machine Learning Accelerator”?! 5:10 Why adding a VPU for specialized tasks is a common sense upgrade for Intel by 2024 5:44 What can a “Neural Engine” be used for? 9:14 Will Neural Engines really be useful for desktop gamers? Patreon: 🤍 Address Fan Mail to: Moore's Law Is Dead, PO Box 60632 Nashville, TN 37206 Broken Silicon [A PC Hardware Podcast] is available on ALL platforms. 🤍 🤍 🤍 🤍 🤍 RSS:🤍 Twitter: 🤍 All Music by SAHARA: 🤍 🤍 Broken Silicon Logo by Tom. Broken Silicon burning graphic by Tom & Sulphurous: 🤍 2021 Video Intro by Tom & abstractrealism on the MLID Discord MAJOR SPONSORS: Cheap Windows & Gaming Keys: 🤍 25% software discount code: brokensilicon 3% EVERYTHING discount code: dieshrink Windows 10 Key: 🤍 LINKS!!!!!!: MLID Lunar Lake Leak: 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍 🤍
▶ Check out my gear on Kit: 🤍 Davinci Resolve 16 introduced the Neural Engine that keeps getting better. Today we look at what it means to shoot for slowmo and how to use the retime tools in Davinci Resolve to create pleasing slow motion video. Watch to learn how to work with variable frame rate video (VFR), change speed in resolve and what to do with Optical Flow to properly use the Speed Warp. Concepts: Neural Engine, slowmo, slow Motion, retime tools How I promote my youtube channel - 🤍 Buy Davinci Resolve Studio - 🤍 My Hardware: Editing Rig: Processor - AMD Threadripper 1950x 2080TI Graphics Card: similar to 🤍 Color Calibration: Setup - 🤍 Shooting Gear: Primary Camera: 🤍 SpeedBooster: 🤍 Favorite Lens: 🤍 (It's magically sharp) Associated ND Filter: 🤍 Action Cam: 🤍 Drone: 🤍 Drone ND Filters: 🤍 *(These are fantastic)