Videos de Ciencia
Videos sobre avances científicos y descubrimientos.
Ciencia 255 videos
Day 13: CNN Explained | 30 Days Free AI Engineering Bootcamp | Chitra Karanam
Welcome to Day 13 of the 30 Days AI Engineering Bootcamp! In today's live session, we'll dive deep into Convolutional Neural Networks (CNNs)—one of the most important deep learning architectures for Computer Vision. 📌 In this session, you'll learn: What is a Convolutional Neural Network (CNN)? Why CNNs are better than traditional Neural Networks for images Convolution Operation Filters (Kernels) and Feature Maps Stride and Padding Pooling Layers (Max & Average Pooling) Flatten Layer Fully Connected Layer CNN Architecture Explained Real-world Applications of CNN Interview Questions & Concepts Whether you're a beginner or preparing for AI/ML interviews, this session will help you build a strong foundation in Deep Learning. 🔥 This session is part of the 30 Days AI Engineering Bootcamp, where we're learning AI Engineering from scratch with hands-on examples. 👉 Don't forget to Like, Share, and Subscribe to Techonquer for daily AI Engineering sessions. #CNN #DeepLearning #ComputerVision #AIEngineer #ArtificialIntelligence #MachineLearning #NeuralNetworks #TensorFlow #PyTorch #Python #Techonquer #AIBootcamp #GenerativeAI #DataScience
As IAs generativas são máquinas de adivinhar?
Você já se perguntou por que ferramentas como ChatGPT, Gemini e Copilot conseguem produzir respostas tão convincentes? Será que elas realmente sabem ou apenas adivinham? Neste vídeo, explicamos de forma simples e objetiva como funcionam as IAs generativas por trás dos grandes modelos de linguagem (LLMs). Você vai entender por que esses sistemas são frequentemente descritos como máquinas de previsão, o que são os famosos tokens e por que uma IA pode gerar respostas impressionantes... e, ao mesmo tempo, cometer erros surpreendentes! Se você trabalha com tecnologia, dados, inteligência artificial ou simplesmente quer entender o que acontece por trás dessas ferramentas, este vídeo é para você. 📚 Fonte principal • Artigo da University of Central Florida: https://www.ucf.edu/artificial-intelligence/how-do-generative-ai-tools-like-chatgpt-work/ Capítulos: 00:00 - As IAs generativas parecem inteligentes... Não parecem? 00:32 - O artigo publicado pela University of Central Florida. 01:27 - O que são "tokens"? 01:57 - O comentário do pato. 02:13 - Por que a IA generativa erra? 02:52 - Encerramento.
SHI s04e03 the infrastructure for a million droids
"A million droids" sounds like a slide, not an infrastructure — and historically robots never rode Moore's Law. Then 2025 happened: humanoid manufacturing cost fell about 40% year over year, more than double what analysts forecast, and Goldman Sachs revised its 2035 market sixfold upward instead of walking it back. The cost curve is the easy part, and this episode says so. The honest caveat stays on screen: one year is a point, not a trend, and a $5,900 chassis is a body with no judgment — the cheap shell hides the unsolved general brain. The real infrastructure for a fleet is coordination and trust: a heterogeneous edge-mesh governed by two mechanisms from the Saluca patents — Recursive Constraint Bootstrap, where each device runs an automated job interview on boot and self-classifies into a tier, and BFT Knowledge Consolidation, where critical physical actions require multiple independent corroborators so one spoofed sensor moves nothing. What you'll take away: • Why the analysts raised the humanoid forecast sixfold — and why one 40% drop is still a point, not a law. • A cheap robot is expensive inventory until something can be trusted to coordinate a million of them. • The edge-mesh patents that turn a fleet of attack surfaces into a workforce. — The Synthetic Human Intellect (SHI) series argues that you can build agentic AI you actually trust — and shows the architecture for it. 📚 The SHI books — the Saluca patents, papers, and the field guide: https://prints.saluca.com 🌐 Saluca: https://www.saluca.com #SHI #AISecurity #AgenticAI #AIGovernance #HumanoidRobots #PhysicalAI #EdgeAI
China's Future Tech EXPOSED: Humanoid Robots, Smart Cities & Supercars! 🤖🇨🇳
China's Future Tech EXPOSED: Humanoid Robots, Smart Cities & Supercars! 🤖🇨🇳 China is redefining the future — and the world is watching in shock. In this video, we dive deep into China's latest breakthroughs in humanoid robotics, ultra-smart AI-powered cities, and cutting-edge supercars that are leaving the rest of the world stunned. From factories run by human-like robots to entire cities managed by artificial intelligence, and homegrown supercars rivaling Ferrari and Lamborghini — China's tech revolution is happening faster than anyone expected. 🔍 In this video: 00:00 Introduction 00:30 China's Humanoid Robot Revolution 03:00 Inside China's AI-Powered Smart Cities 06:00 China's New Generation Supercars 09:00 What This Means for America & the World 👉 Subscribe for more deep dives into global technology, innovation, and the future of AI. #China #HumanoidRobots #SmartCities #Supercars #FutureTech #AI #Technology #Innovation #ChinaTech #ElectricCars At Mystiq R, we explore: *top 10 unsolved mysteries *real paranormal caught on camera *UFO sightings 2024 2025 *ghost videos real *unexplained phenomena *mysterious discoveries *dark secrets revealed *things science can't explain *most mysterious places on earth *alien proof 2025 #Mystery #UFO #Paranormal #Top10 #MystiqR ⚠️ DISCLAIMER ⚠️ The content presented in this video is for entertainment and educational purposes only. All information, stories, theories, and claims featured on Mystiq R are based on publicly available sources, reported accounts, and popular discussions surrounding mysteries, paranormal events, UFO sightings, ghost stories, unexplained phenomena, and strange facts. 📌 Please Note: • Mystiq R does not claim that all content presented is factually proven or scientifically verified. • Some stories and events featured may be legends, folklore, or unconfirmed reports. • Viewer discretion is advised. Some content may not be suitable for young children. • All images, clips, and media used are either licensed, used under fair use, sourced from royalty-free platforms, or credited to their respective owners. • If you are the original owner of any content used and wish to have it removed, please contact us directly before filing a claim. 🔍 Our goal is to entertain, educate, and spark curiosity about the unknown. We encourage viewers to conduct their own research and form their own opinions. © Mystiq R — All Rights Reserved.
I Trained My Own Tiny GPT From Scratch — And Ran It Locally
Most people think training an LLM means thousands of GPUs, massive datasets, and millions of dollars. That is true if you want to train something like ChatGPT. But in this video, I show how I trained a small decoder-only GPT-style language model from scratch using the TinyStories dataset — and ran it locally. This is not a chatbot. This is not instruction tuning. This is the basic idea behind language models: given a sequence of tokens, predict the next token. In this video, we go through the complete pipeline: * Preparing the TinyStories dataset * Creating a decoder-only GPT-style model * Training the model locally * Testing and evaluating the model * Generating text from the trained model * Serving the model using FastAPI The goal is not to beat ChatGPT. The goal is to understand how LLM training works end to end and prove that small, task-specific language models can still be useful. If you are learning AI engineering, I highly recommend going through this process at least once. After this, LLMs will stop feeling like magic and start feeling like systems you can understand, modify, and build. Get the code: https://www.rajkapadia.com/resources/432e3750-0eee-4da5-80b0-0cadf84f918b 00:00 The Myth About Training LLMs 00:53 TinyStories Dataset & Next Token Prediction 01:30 Why Small LLMs Still Matter 02:20 Project Structure & Important Files 04:03 Setup Commands & Training Pipeline 05:49 Generating Text From the Trained Model 06:24 Serving the Model With FastAPI 🚀 Join My Free Community! 👇 🌐 Nas.io - [Learn Everything About Chatbots](https://nas.io/learn-everything-about-chatbots) 📚 Master Google Dialogflow & Build Smart Chatbots! ES: [Enroll Now](https://www.udemy.com/course/master-google-dialogflow-build-smart-chatbots/) CX: [Enroll Now](https://www.udemy.com/course/master-dialogflow-cx-build-engaging-chatbots-2025) 💬 Join Our Discord Group & Connect with Like-Minded People! 🔗 [Discord Community](https://discord.gg/dKruft7Kqs) 🔥 Get Exclusive Perks & Behind-the-Scenes Content! 🎥 [Join This Channel](https://www.youtube.com/channel/UCOT01XvBSj12xQsANtTeAcQ/join) 💡 Need a Custom Chatbot or AI/ML/DL Solution? 📩 Contact me for: 🤖 Chatbot Development | 🧠 AI/ML/DL Projects 🎯 Hire Me on Freelance Platforms! 💼 [Fiverr Profile](https://www.fiverr.com/rajkkapadia) 💼 [Upwork Profile](https://www.upwork.com/freelancers/~0176aeacfcff7f1fc2) 💼 [LinkedIn Profile](https://www.linkedin.com/in/rajkkapadia/) 📢 Share Your Thoughts! 💬 Drop a comment below & let me know what you think about this video! 📌 Don't Forget to: 👍 LIKE | 🔔 SUBSCRIBE | 💬 COMMENT 🎶 Enjoy Life, Feel the Music. ✌️ Peace.
The Robots Already Clocked In - And They're Learning Your Job | The Great Displacement, Ep. 2
0:00 - The Secret 11-Month BMW Robot Test 1:03 - The Cobot Trap: Training Your Own Replacement 2:49 - The "ChatGPT Moment" for Physical Robots 4:11 - The Real Truth About Tesla's Humanoid Army 5:08 - Driverless Trucks and the I-45 Milestone 6:16 - Will the Toolbelt Generation Outrun AI? 7:36 - The Automation Identity Crisis 8:17 - The Threat of "Time" & Economic Destruction Blue-collar and physical work was supposed to be safe from automation. It isn't. Humanoid robots are already running shifts on assembly lines, driverless trucks are hauling freight on public highways, and the machines are learning their jobs by working next to the people they'll eventually replace. This episode follows the augmentation-to-replacement pipeline across manufacturing, warehousing, trucking, and construction - and stays honest about where the hype outruns the hardware. Part 2 of "The Great Displacement," a multi-episode documentary series examining how AI and robotics are reshaping the global job market and economy. SOURCES: International Federation of Robotics — World Robotics 2025 Report (global installations; China vs. U.S.) https://ifr.org/ifr-press-releases/news/global-robot-demand-in-factories-doubles-over-10-years International Federation of Robotics — Robot Density 2024 (China operational stock vs. U.S.) https://ifr.org/ifr-press-releases/news/robot-density-surges-in-europe-asia-and-americas Acemoglu & Restrepo — "Robots and Jobs: Evidence from US Labor Markets," Journal of Political Economy https://www.journals.uchicago.edu/doi/abs/10.1086/705716 MIT Sloan — "A new study measures the actual impact of robots on jobs" https://mitsloan.mit.edu/ideas-made-to-matter/a-new-study-measures-actual-impact-robots-jobs-its-significant Oxford Economics — "How Robots Change the World" (2019), via CNN Business https://www.cnn.com/2019/06/25/economy/robot-jobs-manufacturing-automation/index.html Goldman Sachs Research — "The global market for humanoid robots could reach $38 billion by 2035" https://www.goldmansachs.com/insights/articles/the-global-market-for-robots-could-reach-38-billion-by-2035 BMW Group — Press release on the Figure 02 humanoid pilot at Plant Spartanburg https://www.press.bmwgroup.com/global/article/detail/T0455864EN/ Figure AI — "F.02 Contributed to the Production of 30,000 Cars at BMW" https://www.figure.ai/news/production-at-bmw ASSEMBLY Magazine — "Humanoid Robots Complete Trial Project at BMW Assembly Plant" https://www.assemblymag.com/articles/99678-humanoid-robots-complete-trial-project-at-bmw-assembly-plant Aurora Innovation — "Aurora Begins Commercial Driverless Trucking in Texas" (May 2025) https://ir.aurora.tech/news-events/press-releases/detail/119/aurora-begins-commercial-driverless-trucking-in-texas-ushering-in-a-new-era-of-freight Aurora Innovation — Q4 2025 Shareholder Letter (250,000+ driverless miles; 200+ trucks target), via SEC https://www.sec.gov/Archives/edgar/data/0001828108/000182810826000014/finalaurora25q4sharehold.htm American Trucking Associations — American Trucking Trends 2025 https://www.trucking.org/news-insights/ata-american-trucking-trends-2025 AGC of America / NCCER — 2025 Workforce Survey https://www.agc.org/news/2025/08/28/construction-workforce-shortages-are-leading-cause-project-delays-immigration-enforcement-affects PBS NewsHour — "Why many in Gen Z are ditching college for training in skilled trades" https://www.pbs.org/newshour/show/why-many-in-gen-z-are-ditching-college-for-training-in-skilled-trades (Tesla Optimus R&D status: Tesla Q4 2025 earnings call, Jan 2026. Agility Digit deployments at GXO, Amazon, Toyota: company announcements. 2025/2026 humanoid unit counts: Counterpoint Research / TrendForce.) #Robotics #FutureOfWork #HumanoidRobots #Automation #DriverlessTrucks #BlueCollarJobs #TheGreatDisplacement #AIEconomy
AGIBOT's Robots Ran a Real Factory for Six Days Straight
Sources AGIBOT (official) | "AGIBOT Concludes Six-Day Global Livestream from a Real Factory Production Line" | https://www.agibot.com/article/231/detail/83.html Interesting Engineering | "China: Agibot robots hit 99 percent success during six-day live factory demo" | https://interestingengineering.com/ai-robotics/china-agibot-robots-hit-99-percent-success-during-six-day-live-factory-demo Forbes | "Humanoid Livestream: Robot Makers Rushing To Show Machines On Real Production Lines" | https://www.forbes.com/sites/johnkoetsier/2026/06/23/humanoid-livestream-robot-makers-rushing-to-show-machines-on-real-production-lines/ Bloomberg | "Chinese Firms Dominated Global Humanoid Robot Shipments in 2025" | https://www.bloomberg.com/news/articles/2026-01-08/chinese-firms-dominated-global-humanoid-robot-shipments-in-2025 YouTube Playlist | AGIBOT Livestream: Humanoid Robots on a Real Production Line | https://www.youtube.com/watch?v=FlbQEkKeaYI&list=PLVfvhCjTFMm0jG-Nq3CBSjicA5kamIRGs #HumanoidRobotics #EmbodiedAI #PhysicalAI #ChinaTech #Manufacturing #Robotics
Large Language Models (LLMs) Explained From Scratch (Complete Beginner's Guide) | TAB 47
#largelanguagemodels #llmfullcourse #llmfromscratch Want to understand Large Language Models (LLMs) without complicated math? In this video, you'll learn what a Large Language Model is, how LLMs work, and why models like ChatGPT, Claude, Gemini, and DeepSeek are transforming AI. This complete LLM tutorial for beginners explains every fundamental concept step by step, including language models, AI models, next-word prediction, pre-training, fine-tuning, parameters, weights, biases, datasets, compute, and the difference between Small Language Models (SLMs) and Large Language Models (LLMs). Whether you're preparing for AI Engineering, Machine Learning, Generative AI, Prompt Engineering, or simply want to understand how modern AI works, this video builds a strong foundation from scratch. Click to start your Career in GenAI - MICROSOFT GenAI Course - https://bit.ly/4oxRGaF only Rs 299/ Join our WhatsApp Channel to get the latest updates, learning resources, job trends, and exclusive content : https://whatsapp.com/channel/0029Vb7v6JA3LdQdLhL9rQ2i Below are the concepts covered in this video : 00:26 – Introduction & What You'll Learn 01:54 – What Is a Large Language Model (LLM)? 03:50 – What Is Language? (Vocabulary, Grammar & Meaning) 05:31 – Programming Languages vs Human Languages 06:45 – What Is an AI Model? 10:33 – Models as Mathematical Approximations 12:13 – What Is a Language Model? 12:48 – Next Word Prediction Explained 15:10 – Why Is It Called a Large Language Model? 17:27 – Datasets, Parameters & Compute 18:43 – Weights, Biases & Parameters 19:22 – Small Language Models (SLMs) vs Large Language Models (LLMs) 21:48 – LLM Recap: Language + Model + Large 22:24 – Sequence Prediction Example 26:44 – Pre-training vs Fine-tuning 28:57 – Discriminative vs Generative Models 29:41 – What Is a Generative Model? #generativeai #deeplearning #llm #softwareengineer #webdevelopment #localllm #aiagents #aitools #llmtutorial
Day 12: Neural Networks Explained | 30 Days FREE AI Bootcamp | Chitra Karanam
Welcome to **Day 12** of the **30 Days FREE AI Bootcamp** by Chitra Karanam! In this session, you'll learn the fundamentals of **Neural Networks**, the core technology behind modern Artificial Intelligence and Deep Learning. Whether you're a beginner or an aspiring AI engineer, this lesson will help you understand how neural networks process data, learn patterns, and make intelligent predictions. 📚 In this video, you'll learn: • What Neural Networks are • Biological vs Artificial Neural Networks • Neurons, Layers, Weights & Biases • Activation Functions • Forward Propagation • How Neural Networks Learn • Real-world Applications of Neural Networks This series is designed to help you build a strong foundation in AI, Machine Learning, and Deep Learning—completely free. 👍 Like, Share & Subscribe for upcoming lessons in the 30 Days FREE AI Bootcamp. #NeuralNetworks #DeepLearning #ArtificialIntelligence #MachineLearning #AIBootcamp #AIForBeginners #DeepLearningTutorial #Python #DataScience #ChitraKaranam #30DaysAIBootcamp #LearnAI #GenerativeAI #AIEducation #TechLearning
Large Language Models (LLMs) Explained | No Coding Required | Vishwa sir | Tab 47
#llm #machinelearning #softwareengineering Want to understand how ChatGPT, Claude, Gemini, and other modern AI models actually work? Join this LIVE LLM Masterclass where we'll break down Large Language Models (LLMs) in the simplest possible way—no coding or programming experience required. Whether you're a student, working professional, AI enthusiast, or someone planning to build AI applications in the future, this live session will help you understand the core concepts behind today's most powerful AI systems. 🔗 Ready to build a career in AI? Join upGrad's Artificial Intelligence Courses and start learning from industry experts: https://bit.ly/4uRBTFU What you'll learn: What are Large Language Models (LLMs)? How ChatGPT and modern AI models work Tokens, embeddings, transformers, and attention explained Training vs inference Prompt engineering fundamentals Open-source vs closed-source LLMs Real-world applications of LLMs How LLMs power AI Agents, RAG, copilots, and automation The best roadmap to start learning Generative AI
IA en Medicina 2026| Como ayudará la inteligencia artificial a la medicina
¿Cómo la IA nos salvará la vida? En este video exploramos la mayor revolución médica de 2026, donde la inteligencia artificial ha dejado de ser una promesa para alcanzar un 94% de precisión diagnóstica en la detección de enfermedades críticas . Descubre el concepto de inteligencia aumentada, una colaboración entre médicos e IA que eleva la precisión al 97%, eliminando el error humano por fatiga . Analizamos hitos asombrosos como el diseño del primer fármaco íntegramente por computadora (JAM-2) y la reducción de procesos de desarrollo de 15 años a solo 2 o 3 años . También veremos: Cirugía asistida: Cómo el sistema da Vinci 5 y la IA visual transforman el quirófano para lograr una exactitud milimétrica . Detección precoz: El uso de Viz.ai para ahorrar minutos vitales en casos de ictus . Salud mental: El monitoreo mediante wearables y biomarcadores vocales . Ética y privacidad: Los desafíos de los sesgos en los datos y el impacto del EU AI Act en nuestra seguridad . ¡El futuro de la salud ya está aquí y es potenciado por algoritmos! No olvides suscribirte para más contenido sobre la tecnología que está reescribiendo nuestra historia.
Day 5 - No-Code Computer Vision: Building the Platform Live
Learn how to build real-world AI vision systems → https://www.skool.com/ai-vision-academy Local labeling and model training software → https://visolabel.com 💬 Ask questions in chat, I answer live. #ComputerVision #AIVision #NoCode #VibeCoding #LiveCoding #ObjectDetection #AIWorkflow #LocalAI #Python #OpenCV #MachineLearning #Automation #aivisionacademy [FREE] Vlog music|copyright free vlog music|non copyright music|Tropical House & Summer Vibes music https://www.youtube.com/watch?v=c5bnjhc6oR0