Videos de Tecnología
Videos sobre avances tecnológicos, gadgets y tendencias digitales.
Tecnología 440 videos
AI, Computer Vision & Sensor Fusion: Ramy Patrai | CV Conference 2026
AI, Computer Vision & Sensor Fusion: Ramy Patrai on LiDAR, Scene Flow Estimation and the Future of Autonomous Systems | Computer Vision Conference 2026 In this exclusive interview from the Computer Vision Conference 2026 in Amsterdam, we speak with Ramy Patrai, a researcher at the German Research Center for Artificial Intelligence (DFKI), about his journey from mechatronics engineering to cutting-edge research in artificial intelligence, computer vision, and multimodal sensor fusion. Ramy shares insights into his research on 3D scene flow estimation, a critical technology for understanding motion in dynamic environments, and explains how combining data from multiple sensors—including LiDAR, RGB cameras, stereo vision systems, event-based sensors, radars, and IMUs—can significantly improve perception, robustness, and safety in autonomous systems. During the conversation, we explore: 🔹 Ramy's transition from industrial machine vision and metrology to AI research 🔹 The role of LiDAR-camera fusion in modern computer vision systems 🔹 3D scene flow estimation and motion analysis in dynamic environments 🔹 Sensor fusion challenges involving heterogeneous data sources 🔹 Real-world applications in autonomous vehicles, drones, robotics, logistics, and smart agriculture 🔹 AI generalization, continual learning, and knowledge distillation techniques 🔹 The gap between academic research and industrial deployment 🔹 Future trends in perception systems and autonomous intelligence 🔹 Networking, collaboration, and innovation at Computer Vision Conference 2026 About the Speaker: Ramy Patrai is a researcher at DFKI specializing in artificial intelligence and computer vision. His expertise spans multimodal 2D/3D sensor fusion, LiDAR-event camera integration, ego-motion estimation, 3D scene flow, image processing, calibration, industrial inspection systems, and real-time edge AI deployment. He has previously worked with Carl Zeiss and Chromasens GmbH and has contributed to both industrial and publicly funded research projects, including collaborations with BMW. This interview offers valuable insights for researchers, engineers, students, and technology professionals interested in AI, computer vision, robotics, autonomous systems, sensor fusion, machine learning, and intelligent perception technologies. 📌 If you enjoyed this interview, please Like, Share, and Subscribe for more conversations with leading researchers, innovators, and industry experts from international AI and computer vision conferences. #ComputerVision #ArtificialIntelligence #AI #SensorFusion #LiDAR #SceneFlow #MachineLearning #DeepLearning #AutonomousSystems #Robotics #DFKI #ComputerVisionConference2026 #3DVision #PerceptionSystems #AutonomousVehicles #SmartAgriculture #EventCameras #ResearchInterview #Innovation #TechnologyConference
China presenta su robot réplica humana ultrabiónico con IA ¿ya viste lo que puede hacer?
¿Listos para conocer a los robots más avanzados y polémicos del momento? YubiTech lanza humanoides que no solo ayudan, ¡pueden parecerse y sonar como quien tú quieras! Descubre cómo esta tecnología podría cambiar hogares, fronteras y hasta nuestras emociones. Suscríbete para no perderte lo último y comenta qué parte te impactó más del video. ¡Queremos leerte! #robots #tecnología #innovación #futuro #inteligenciaartificial 👉 Este canal es realizado en colaboración con https://www.youtube.com/@airevolutionx 0:02 - Presentación de UWorld U1 y su innovación 0:59 - Lanzamiento y versiones del robot UWorld 2:03 - Características técnicas y diseño humanoide 3:39 - Interacción emocional, memoria y privacidad 5:52 - Impacto social y mercado objetivo en China 7:04 - Human Robot Companionship Initiative y aspectos éticos 8:38 - Walker S2: uso en fronteras e infraestructura 12:49 - Plan de desarrollo y visión de YubiTech ¡Ya estamos disponibles en Spotify! Escúchalo ahora https://open.spotify.com/show/1Hq2S58AkMMzrl0qiQhoD2
● INTELIGENCIA ARTIFICIAL: el desafío de promover el pensamiento crítico en tiempos de IA.
● ¿Está Uruguay preparado para la Inteligencia Artificial? ¿Cómo cambiará la IA el empleo, las empresas y los modelos de negocio?" En esta entrevista disponible en este canal con Aníbal Gonda, líder de Estrategia de Partnerships, Ecosistemas de IA y Low-Code para GeneXus (Globant), sobre el presente y el futuro de la Inteligencia Artificial en Uruguay y su impacto en las empresas, el empleo y los modelos de negocio. ¿Cómo están incorporando la IA las organizaciones? ¿Está preparado Uruguay para competir en esta nueva era tecnológica? ¿Qué oportunidades abre la Inteligencia Artificial para las empresas y qué desafíos plantea para el mercado laboral? Durante la conversación analizamos la adopción de la IA en el sector empresarial, la necesidad de que empresarios y profesionales desarrollen nuevas competencias, el impacto de la automatización sobre los puestos de trabajo y la transformación que atraviesan las organizaciones frente a tecnologías cada vez más accesibles. Además, reflexionamos sobre el potencial de Uruguay para posicionarse como un país de innovación y experimentación en Inteligencia Artificial, la importancia de no frenar el desarrollo tecnológico y la necesidad de que las empresas definan con claridad para qué incorporar IA y cómo generar valor real para sus negocios. ● Temas de la entrevista: • Inteligencia Artificial en Uruguay • IA en empresas y negocios • Transformación digital • Inteligencia Artificial y empleo • Automatización y futuro del trabajo • Adopción de IA en organizaciones • Innovación tecnológica • GeneXus y Globant • Productividad empresarial • Modelos de negocio e Inteligencia Artificial
"Computer Vision: العين الجديدة للذكاء الاصطناعي"
الكمبيوتر بقى يشوف زيك تمامًا... وده بس البداية 👁️🤖 هل تعرف إن التقنية اللي بتفتح بيها موبايلك ببصمة الوجه، هي نفس التقنية اللي بتشغّل السيارات ذاتية القيادة وتشخّص الأمراض من الأشعة؟ في الفيديو ده هتتعرف على Computer Vision — أحد أهم فروع الذكاء الاصطناعي (AI) اللي بيغيّر شكل البرمجة وسوق الشغل بالكامل. ⏱️ الفصول (Chapters): 00:00 🎣 المقدمة 00:19 👁️ ما هو Computer Vision؟ 00:45 🌍 أين نستخدمه في حياتنا اليومية؟ 01:00 ⚙️ كيف يعمل Computer Vision؟ 01:20 🧰 أشهر المكتبات (OpenCV, YOLO, TensorFlow, PyTorch) 01:30 💡 مثال عملي (تحديد قطة وكلب في صورة) 01:52 📌 الخلاصة + الدرس القادم هتتعلم: ✅ إيه هو Computer Vision وإزاي يعمل ✅ استخداماته الحقيقية في حياتك اليومية ✅ أشهر المكتبات: OpenCV, YOLO, TensorFlow, PyTorch ✅ ليه المجال ده من أعلى المجالات دخلًا في الفريلانسنج والوظائف المجال ده مش مستقبل... ده حاضر بيحصل دلوقتي، ومن يتأخر هيضيع فرصة ضخمة في تعلم الذكاء الاصطناعي والربح من البرمجة. 📌 اشترك في القناة الآن وفعّل الجرس عشان توصلك كل الدروس القادمة عن AI والبرمجة وأدوات المستقبل. ✍️ اكتب "AI" في التعليقات ولو حابب الدرس القادم يوصلك أول ما ينزل. #ذكاء_اصطناعي #برمجة #AI #ComputerVision #تعلم_برمجة #تقنية #MachineLearning #Python #OpenCV #مستقبل_البرمجة #تكنولوجيا #ArtificialIntelligence #تطوير_مواقع #فريلانسنج #TechTrends
Elon Musk Explains 5 Reasons Tesla Bot Gen 3 Could Dominate 2025 | New Specs Leaked!
Discover why Elon Musk believes the Tesla Bot Gen 3 (Optimus Gen 3) could become one of the biggest technology investments of 2025. In this video, we break down 5 major reasons why Tesla's next-generation humanoid robot is generating so much excitement, along with the latest rumored specifications, AI upgrades, performance improvements, and potential real-world applications. From advanced artificial intelligence and improved mobility to factory automation and home assistance, Tesla Bot Gen 3 could redefine the future of robotics. We also discuss the latest reports, leaks, and what these developments could mean for Tesla and the robotics industry. ⚠️ Disclaimer: Some information discussed in this video is based on industry reports, leaks, and speculation and has not been officially confirmed by Tesla or Elon Musk. Please watch until the end for the complete analysis. 👍 If you enjoyed this video, don't forget to Like, Comment, Share, and Subscribe for more updates on Tesla, Elon Musk, AI, robotics, and future technology. #TeslaBot #Optimus #ElonMusk #Tesla #HumanoidRobot #ArtificialIntelligence #AI #FutureTech #Robotics #TeslaBotGen3 #OptimusGen3 #Technology #Innovation #TechNews #Automation #TeslaNews #Robot #FutureTechnology #MachineLearning #Engineering
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
Empleos del futuro: ¿En qué trabajarás cuando la IA lo haga todo?
Cada vez que la tecnología transformó la economía, aparecieron roles que nadie había imaginado. El problema no fue la falta de trabajo. Fue el tiempo que tardó la gente en entender qué había cambiado. La inteligencia artificial está siguiendo el mismo patrón. Algunos de los trabajos que va a generar ya tienen nombre. Otros todavía no. Y la diferencia entre los que van a estar bien posicionados y los que no, no pasa por saber programar ni por dominar herramientas digitales. Pasa por entender qué puede hacer una máquina, qué no puede, y dónde necesita de un humano para funcionar bien. 🔎 En este video exploramos: -- Por qué cada revolución tecnológica destruye trabajos y crea otros que nadie prevé -- Qué roles concretos está generando la IA que hace tres años no existían -- Cómo se están combinando profesiones tradicionales con capas tecnológicas para crear trabajos sin nombre todavía -- Por qué el criterio, la responsabilidad y la ambigüedad son las habilidades más difíciles de automatizar -- Qué es lo que realmente diferencia a un trabajador humano valioso en este nuevo escenario 🔔 Si este tipo de preguntas te interesan, suscríbete a Código Humano para no perderte el siguiente video: exploramos cómo la tecnología, la inteligencia artificial y la ciencia están transformando el mundo en que vivimos. 👉 Activa la campanita para recibir cada nuevo video apenas se publique. ⚠️ Aviso de contenido generado por IA: Este video ha sido realizado utilizando herramientas de inteligencia artificial para la asistencia en la generación del guion y recursos visuales, sonoros y locución. 📌 CAPÍTULOS 00:00 Los trabajos sin nombre que ya tienen demanda 01:17 Lo que siempre pasó cuando cambió la tecnología 02:05 Los roles nuevos que ya están apareciendo 04:23 Los trabajos que todavía no tienen nombre 05:36 Por qué esto no es solo un tema de habilidades técnicas 07:20 Saber algo diferente es mejor que saber más HASHTAGS #InteligenciaArtificial #FuturoDelTrabajo #Tecnología #CodigoHumano #Automatización #Empleos #IA #Trabajos #TransformacionDigital #Habilidades #Futuro #DivulgacionCientifica #CienciaEnEspanol #TecnologiaEnEspanol #MercadoLaboral
Testei a melhor IA de Vídeos Automáticos para Viralizar na COPA
Como criar conteúdo viral para copa do mundo Link da plataforma: https://magiclight.ai/events/world-cup/?code=MLHYJPrA 👉Meu curso completo sobre Inteligências Artificiais com foco em renda extra e viver de internet: https://pay.kiwify.com.br/OUx0Hgb ✅Playlist de cursos gratuitos: https://youtube.com/playlist?list=PLNQBpbIienGEf4oI5z3wFOd_qexy0UrUe&si=oAqDO7cqeYPFB6X6 Editor: designersalvatore@gmail.com Neste canal, abordamos o que é a inteligência artificial e como ela está sendo aplicada em diferentes áreas, como tecnologia. Discutimos tipos de IA, como aprendizado profundo e racional, e os desafios e oportunidades que ela traz. O objetivo aqui é apresentar ferramentas de IA que facilitem o trabalho cotidiano das pessoas e como elas podem se preparar para o futuro com ela. Inscreva-se neste canal se quiser facilmente encontrar maneiras de trabalhar de forma independente, usando ferramentas como Midjourney, Stable diffusion, DALL·E 2, ChatGPT, etc. #midjourney #Stablediffusion #promptformidjourney #midjourneyai #chatgpt