Videos de Ciencia
Videos sobre avances científicos y descubrimientos.
Ciencia 255 videos
🔥 AI Made Easy for UGC NET CS | Most Expected Topics| PYQs + Mind Maps|AI One Shot Revision
Artificial Intelligence Complete Revision for UGC NET Computer Science Aspirants! 🚀 In this special session, we cover all the most important AI topics frequently asked in UGC NET CS examinations along with Previous Year Questions (PYQs), mind maps, quick revision charts, tricks, and exam-oriented concepts. 📌 Topics Covered: ✅ Intelligent Agents ✅ Environment Classification ✅ Knowledge Representation ✅ Logic & Inference ✅ Semantic Networks ✅ Frames & Scripts ✅ Production Systems ✅ Planning in AI ✅ STRIPS Planning ✅ Expert Systems ✅ UGC NET PYQs Discussion ✅ Mind Mapping Charts for Revision 00:00 – Introduction & Session Overview 01:05 – AI vs. Machine Learning vs. Deep Learning (Core Differences) 01:45 – The Four Approaches of AI (Thinking/Acting Humanly & Rationally) 02:30 – Neural Networks & Deep Learning Explained 06:08 – Classical Planning: Initial State, Action, and Goal 07:55 – Pattern Matching & Relationship between Objects 09:30 – Conflict Resolution Strategies in Production Systems 13:45 – Knowledge Representation Systems (Representational, Inferential, Acquisitional) 15:00 – Types of Knowledge Representation (Logic, Rule-based, Semantic Nets, Frames, Scripts) 17:25 – Strips vs. Scripts (Action-centric vs. Sequence-based) 19:40 – Steps for Knowledge Design & Axiomatizing the Domain 30:40 – First Order Predicate Logic (FOPL) Elements 34:00 – Environment Types & Planning Approaches (Classical, Contingency, Reactive) 36:50 – Agent Systems: Sensors, Controllers, and Actuators 41:15 – Multi-Agent Systems: Cooperation & Coordination 46:30 – Final Summary & Student Interaction
¡Brutal Cambio en China 2026! 🔥 La Tecnología Está Eliminando Miles de Trabajos Humanos
🚨 China 2026 está viviendo una transformación brutal. Robots, inteligencia artificial y tecnología avanzada están reemplazando miles de trabajos humanos en restaurantes, fábricas, hoteles y hasta en las calles. Lo que parecía ciencia ficción ya es una realidad en China… y el mundo entero podría ser el próximo. 🇨🇳🤖 #China2026 #TecnologiaChina #Robots #InteligenciaArtificial #China #Futuro #Automatizacion #IA #Tecnologia #Innovacion #Trabajo #NoticiasChina #RobotHumano #ChinaTech #Viral
What is an LLM? How it works
How do Large Language Models (LLMs) like ChatGPT, Claude, and Gemini actually work under the hood? Are they just advanced Google search engines, or are they just massive databases? In this video, we break down the mystery behind LLMs using a simple library analogy. You'll learn why an LLM doesn't actually "look up" information, how it stores knowledge as abstract patterns in its parameters (just like a human mind stores patterns), and how the Transformer engine drives every single word it generates. If you want to truly understand AI without getting lost in complex math or confusing diagrams, this 5-minute breakdown is for you! 📌 Timestamps: 0:00 - Intro: The LLM Mystery 0:36 - Database vs. LLM (The Library Analogy) 1:18 - Storing Patterns: Human Mind vs. LLM Parameters 2:18 - How an LLM Actually Answers a Question (Step-by-Step) 4:08 - The Transformer Engine Under the Hood #AI #LLM #GenerativeAI #MachineLearning #ChatGPT #DataScience
AI vs Machine Learning vs Deep Learning Explained Simply 🤖 | Full Beginner Guide 2026
🚀 Want to understand the difference between Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL)? In this video, we explain everything in simple Indian English with real-world examples, interview concepts, career guidance, and industry use cases. Perfect for students, freshers, software engineers, and anyone starting their AI journey in 2026. 🔥 In This Video: ✔ What is Artificial Intelligence? ✔ What is Machine Learning? ✔ What is Deep Learning? ✔ AI vs ML vs DL Differences ✔ Real-world Applications ✔ AI Engineer Career Roadmap ✔ Skills Required in 2026 ✔ Salary & Job Opportunities ✔ Beginner-Friendly Explanation ✔ Interview Questions & Answers 💡 Whether you're preparing for placements, coding interviews, or starting a tech career, this video will give you a complete understanding of AI technologies shaping the future. 📌 Topics Covered: Artificial Intelligence Machine Learning Deep Learning Neural Networks Generative AI AI Careers Data Science AI Engineering ChatGPT & Modern AI Tools 🔥 Subscribe for more: AI Tutorials • Cloud Computing • Interview Preparation • Career Guidance • Tech Trends • Coding Roadmaps #AI,#MachineLearning,#DeepLearning,#ArtificialIntelligence,#AI2026,#MLEngineer,#AIEngineer,#DataScience,#ChatGPT,#GenerativeAI,#Python,#Coding,#Tech,#InterviewPreparation,#SoftwareEngineer,#NeuralNetworks,#CloudComputing,#FutureOfAI,#AITutorial,#MLTutorial,#DeepLearningTutorial,#Programming,#Students,#TechCareer,#AIJobs,#AIInterviewQuestions,#LearnAI,#CodingInterview,#AIForBeginners,#techeducation #AI,#MachineLearning,#DeepLearning,#ArtificialIntelligence,#AI2026,#ChatGPT,#OpenAI,#GenerativeAI,#AITools,#AIEngineer,#MachineLearningEngineer,#DeepLearningAI,#NeuralNetworks,#Python,#Coding,#Programmer,#SoftwareEngineer,#DataScience,#DataScientist,#BigData,#Tech,#Technology,#TechNews,#Innovation,#FutureTech,#FutureOfAI,#LearnAI,#AITutorial,#MLTutorial,#DeepLearningTutorial,#CodingTutorial,#Programming,#ComputerScience,#Developer,#FullStackDeveloper,#CloudComputing,#AWS,#Azure,#GoogleCloud,#DevOps,#CyberSecurity,#InterviewQuestions,#InterviewPreparation,#PlacementPreparation,#FreshersJobs,#EngineeringStudents,#CollegeStudents,#StudyMotivation,#CareerGrowth,#HighSalarySkills,#PassiveIncome,#OnlineLearning,#TechCareer,#AIJobs,#RemoteJobs,#Startup,#Business,#DigitalMarketing,#Productivity,#Automation,#AIApps,#ViralVideo,#Trending,#ExplorePage,#YouTubeGrowth,#YouTubeSEO,#ContentCreator,#Vlog,#HindiTech,#IndianYouTuber,#TechIndia,#LearnCoding,#CodeWithAI,#AITips,#SmartStudents,#Education,#SkillDevelopment,#FutureSkills,#NoCode,#100DaysOfCode,#Reels,#ViralReels,#TechReels,#Shorts,#YouTubeShorts,#TrendingNow,#ML,#DL,#LLM,#GPT4,#OpenAIChatGPT,#AICommunity,#ArtificialGeneralIntelligence,#AGI,#AIRevolution,#NextGenAI,#AIExplained,#TechExplained,#BTech,#EngineeringLife,#CampusPlacement,#JobReady,#SelfImprovement,#SuccessMindset,#MakeMoneyOnline,#StudentLife,#AIForStudents,#LearnMachineLearning,#DeepLearningProjects,#AIProjects,#PythonProjects,#CodingLife,#ProgrammersLife,#TechWorld,#DigitalFuture,#InternetOfThings,#Blockchain,#SaaS,#Entrepreneurship,#Freelancing,#RemoteWork,#TechChannel,#EducationChannel,#Knowledge,#Motivation,#CareerTips,#CloudEngineer,#DataEngineer,#SoftwareJobs,#StudyWithMe,#LearnWithMe,#ExamPreparation,#CodingMotivation,#InnovationTech,#AIContent,#AIUpdates,#TrendingTech,#FutureCareer
What If Fish Could Be “Scanned” Like a Tesla? | AI Fish Vision Goes Viral
AI Meets Aquaculture: The Future of Non-Destructive Fish Yield Prediction Can computer vision improve seafood production efficiency, genetic selection, and sustainability simultaneously? Presented at the IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2026), by Gabryelle Guimaraes Castro de Sousa this work demonstrates how RGB-D imaging and AI-driven 3D reconstruction can estimate Nile Tilapia fillet yield without invasive measurements. A powerful example of how digital agriculture, AI, and precision aquaculture are converging to reshape global food systems. Gabryelle Sousa is a visiting research student from São Paulo State University (UNESP), Brazil, supported through a MITACS-funded international research exchange program, and is currently conducting research at Dalhousie University within the Mooanalytica Research Group for a research internship stay under the supervision of Professor Suresh Neethirajan. Her work focuses on AI-enabled precision aquaculture, computer vision, and digital phenotyping applications for sustainable seafood production. #IEEE #Aquaculture #ArtificialIntelligence #ComputerVision #FoodSecurity #SmartAquaculture #DigitalTwin #PrecisionLivestock #AIinAgriculture #FutureOfFood
IA que Domina: Automatización y Visión por Computadora al Límite
Si alguna vez se han preguntado cómo una máquina puede "ver" lo que nosotros vemos, la respuesta reside en algoritmos sofisticados y redes neuronales profundas. La Visión por Computadora no es solo sobre tomar fotos; es sobre dotar a las máquinas de la capacidad de interpretar, analizar y comprender el contenido visual del mundo, tal como lo haríamos nosotros.
LLMs Explained (10 Minute Masterclass)
@AIwithArunShow Imagine a library the size of Texas containing every word ever written, and a guide who has read it all. In this episode of AI with Arun Show, we peel back the curtain on Large Language Models (LLMs)—the digital wizards behind ChatGPT. We move past the scary jargon to show you how these systems actually function as "autocomplete on steroids," using massive mathematical probability to mirror human thought. Whether you're curious about how AI translates "king - man + woman = queen" or why it sometimes confidently makes things up (hallucinations), this deep dive covers it all. Learn the three pillars of LLMs—Large, Language, and Model—and how to master the "Trust but Verify" rule for effective collaboration. 🚀 Ready to build with AI? Watch now to transition from basic exploration to effective collaboration! 👉 CALL TO ACTION: If you found this breakdown helpful, join our community of AI enthusiasts! Click the JOIN button below to become a member and support the show. 3. Detailed Timestamps 00:00 – The Texas-Sized Library: Visualizing AI’s Knowledge 00:49 – What exactly is an LLM? 01:31 – Breaking down the acronym: Large, Language, Model 02:32 – Autocomplete on Steroids: The Math of Probability 03:26 – The "Once Upon a Time" Game 04:08 – Digital School: How AI is Trained and Coached 06:31 – Embeddings: How Computers Turn Ideas into Algebra 06:53 – From 2017 to Today: The Rise of Transformers 07:28 – The Hallucination Problem: Why AI Makes Things Up 08:42 – 3 Best Practices for Working with AI 09:47 – How to Use Your Creative Partner #AI #ChatGPT #llm #ArtificialIntelligence #MachineLearning #TechExplained #GenerativeAI #DataScience #FutureOfWork #aiwitharunshow Themes How do Large Language Models work simple explanation Understanding the difference between AI and LLMs What are AI hallucinations and why do they happen? The math behind ChatGPT: Embeddings and Probability Training process for AI: Pre-training and Human Coaching "The digital library is officially open! 📚 Which of the three AI best practices—Partnering, Iterative Dialogue, or 'Trust but Verify'—surprised you the most? Drop your thoughts below and tell me what you're planning to build first! 👇" FOR THE COMMUNITY Did you know that AI doesn't actually "understand" ideas, but instead performs complex algebra on concepts? In today’s new video, we’re diving deep into the world of Large Language Models (LLMs). We explore: Why ChatGPT is like an 'imaginative intern' The 'Once Upon a Time' trick that explains AI math How to avoid the trap of AI hallucinations This isn't just about tech jargon; it's about learning how to collaborate with a mirror of our collective human knowledge. Watch the full breakdown here: https://youtu.be/Xi5mLgA9zBI Let's get ahead of the curve together. See you in the comments! 🚀 Made with Google Vids https://vids.new/ #MadeWithGoogleVids
La IA Desbloquea TU Cerebro: Visión Computacional al Estilo Neurona
Imaginemos que el cerebro es la máquina de procesamiento de imágenes más sofisticada jamás creada. Millones de neuronas, interconectadas en patrones increíblemente complejos, forman redes que nos permiten interpretar un paisaje, distinguir un rostro o reconocer un objeto en la oscuridad. Este proceso no es lineal; es una cascada de activaciones y desactivaciones, una danza electroquímica. Aquí es donde entra la IA, específicamente el aprendizaje profundo o *Deep Learning*. Las Redes Neuronales Artificiales son, en esencia, modelos matemáticos inspirados en la estructura de las redes neuronales biológicas. Pero la magia ocurre cuando estas redes se aplican a la Visión por Computadora.
What Is vLLM? ⚡ Fastest Way to Run AI Models Explained
🚀 In this video, learn What is vLLM and how it helps run Large Language Models (LLMs) faster and more efficiently. We’ll explain: ✅ What vLLM is ✅ How vLLM works ✅ Why it is faster than traditional inference methods ✅ GPU memory optimization with PagedAttention ✅ How to use vLLM for AI applications ✅ vLLM vs Ollama comparison ✅ Best use cases for developers & AI startups vLLM is becoming one of the most popular tools for serving AI models like Llama, DeepSeek, Mistral, and other open-source LLMs. If you're interested in AI, machine learning, ChatGPT alternatives, or self-hosted LLMs, this video is for you! 🔥 📌 Perfect for: AI Developers Python Programmers Machine Learning Engineers GenAI Enthusiasts Odoo & Automation Developers #vLLM #AI #LLM #MachineLearning #ArtificialIntelligence #Python #DeepSeek #Llama3 #GenAI #TechTutorial #OpenSourceAI #AIModels #InferenceEngineWhat Is vLLM? ⚡ Fastest Way to Run AI Models Explained vLLM Explained Simply 🚀 Speed Up Your AI & LLM Inference vLLM Tutorial for Beginners 🔥 Run Large Language Models Faster What Is vLLM and Why Everyone Is Using It? 🤖 vLLM vs Ollama vs LM Studio ⚔️ Best AI Model Runner? How vLLM Makes AI Models Super Fast ⚡ Beginner Guide vLLM Explained in Hindi 🇮🇳 Fast AI Inference Engine Run Llama & DeepSeek Faster with vLLM 🚀 Full Explanation vLLM Setup & Overview 🧠 High-Speed LLM Serving Made Easy Why Developers Love vLLM 💡 AI Model Optimization Explained
¿Cómo funcionan los grandes modelos de lenguaje LLM?
La evolución técnica y conceptual de la inteligencia artificial, destacando la transición hacia un nuevo paradigma denominado Software 3.0. Andrej Karpathy explica cómo hemos pasado de programar mediante código explícito a entrenar redes neuronales y, finalmente, a utilizar el lenguaje natural como interfaz de programación para modelos de lenguaje. Por su parte, líderes de Google DeepMind debaten sobre el camino hacia la Inteligencia Artificial General (AGI), enfatizando la importancia de combinar el escalamiento de datos con avances algorítmicos y procesos de razonamiento profundo. Los textos técnicos complementan esta visión detallando la arquitectura de los Transformers, explorando componentes críticos como la normalización RMS, las activaciones tipo SwiGLU y las incrustaciones rotatorias de posición. En conjunto, el material describe un ecosistema donde la IA actúa como un nuevo sistema operativo capaz de interactuar de forma autónoma a través de agentes y herramientas. Esta transformación redefine el desarrollo de software, permitiendo que tanto expertos como usuarios comunes colaboren con sistemas cada vez más capaces de razonar y ejecutar tareas complejas.
Seminarios: "Gobernanza ética de la AI" y "Gobernanza de la IA en sistemas"
Seminario permanente: Ética e IA: Perspectivas Multidisciplinarias Ponente: Mario Gabriel Sarian González Tema: Gobernanza ética de la AI y la transformación digital Ponente: Jorge Antonio Montiel Pinedo Tema: Gobernanza de la AI en sistemas judiciales: marcos éticos, gestión de riesgos y lineamientos para la gestión de datos
IA en la Medicina: El Futuro de los Diagnósticos 🧬 AI in Healthcare & Diagnostics
🇪🇸 Español: La Inteligencia Artificial no solo está cambiando los negocios, está salvando vidas. En este video de @IAProBusinessOficial exploramos cómo los algoritmos de aprendizaje profundo están revolucionando los diagnósticos médicos y la investigación científica. ¡La era de la medicina de precisión ya está aquí! https://try.elevenlabs.io/iguk8a7zooo9 Artificial Intelligence isn't just changing business; it's saving lives. In this video, we explore how deep learning algorithms are revolutionizing medical diagnostics and scientific research. The era of precision medicine is here! https://try.elevenlabs.io/iguk8a7zooo9 #IAMedicina #SaludDigital #FuturoDeLaCiencia #DiagnosticoIA #AIinHealthcare #HealthTech #MedTech #DeepLearning #iaprobusiness Aviso de Afiliado / Affiliate Disclosure: 🇪🇸 Como afiliado de Amazon, percibo ingresos por las compras elegibles. Esto no tiene ningún costo adicional para ti y ayuda a mantener el canal. 🇺🇸 As an Amazon Associate, I earn from qualifying purchases. This helps support the channel at no extra cost to you. 💻 Equipos y Herramientas Recomendadas (Amazon): Laptop para IA y Diseño: https://amzn.to/4l86T0o Mouse Ergonómico Pro: [https://amzn.to/4r] Tableta Gráfica para Artistas: [https://amzn.to/3PbHNle] 🔔 ¡Suscríbete a @IA Pro Business para dominar la Inteligencia Artificial!