Videos de Ciencia
Videos sobre avances científicos y descubrimientos.
Ciencia 128 videos
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!
Stanford que Ensina Mais sobre LLMs do que a Maioria dos Profissionais de IA
#llm #stanford #chatgpt #inteligenciaartificial #ia Em vez de assistir a uma hora de Netflix, assista a esta palestra de 2 horas da Stanford que vai te ensinar mais sobre como LLMs como ChatGPT e Claude são construídos do que a maioria das pessoas trabalhando em empresas de IA de ponta aprende em suas carreiras inteiras.Essa é uma das aulas mais valiosas que você vai encontrar sobre o funcionamento real dos grandes modelos de linguagem. Direto, profundo e sem enrolação.Se você quer entender de verdade como essas tecnologias são feitas por dentro, essa palestra é ouro puro. Pare o que está fazendo e invista essas 2 horas. Vale muito mais do que parece.Comente: você prefere usar IA ou entender como ela realmente funciona?
IA que Falla 🤖❌ | Errores, Riesgos y Fallos de la Inteligencia Artificial
❗ La inteligencia artificial no es perfecta… y cuando falla, las consecuencias pueden ser graves. 🤖⚠️ En esta MASTERCLASS descubrirás por qué falla la IA, cuáles son los errores más comunes y qué riesgos pueden afectar a las organizaciones y a las personas. 💣 📖 Aprende: ▫️ Principales fallos de la inteligencia artificial ▫️ Sesgos en los algoritmos ▫️ Problemas de calidad de datos ▫️ Decisiones incorrectas automatizadas ▫️ Riesgos éticos y de seguridad 🎯 Ideal para quienes quieren entender los límites de la inteligencia artificial, el gobierno de datos y la analítica. 🚀 Dale play y descubre cómo prevenir errores y usar la IA de forma más segura y responsable. #iaquefalla #inteligenciaartificial #erroresia #aiethics #datagovernance #bigdata #analiticadedatos #sesgos #machinelearning #tecnologia #datos #ciberseguridad #transformaciondigital #riesgos #innovacion
Autoencoders - Explained
An autoencoder is a neural network that learns to compress its own input and rebuild it. We start with the impossible-sounding task — squeeze a 49-pixel image down to two numbers and expand it back — then build the hourglass architecture, split it into encoder and decoder, and derive the reconstruction loss that trains the whole thing without a single label. By the end you'll see why the bottleneck is the real trick: forcing the network to carry meaning through a narrow waist is what organises the latent space and turns one idea into denoising, anomaly detection, and generation. *Related Videos* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Variational Autoencoder - Explained: https://youtu.be/geH5HnRapRs Generative Adversarial Networks (GANs) - Explained: https://youtu.be/G-fXV-o9QV8 Convolutional Neural Networks (CNNs) - Explained: https://youtu.be/YGILT182T6w Recurrent Neural Networks (RNNs) - Explained: https://youtu.be/8G1fImBCMcQ Backpropagation is Just the Chain Rule: https://youtu.be/VCGlYxGJZ04 Activation Functions in Neural Networks - Explained: https://youtu.be/slp222E_0d4 UMAP - Explained: https://youtu.be/kwILqPNZyeo Normalization vs Standardization - Explained: https://youtu.be/87C5hkTY8RI *Contents* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 00:00 - The Impossible Shortcut 00:22 - The Bottleneck 00:53 - Encoder and Decoder 01:21 - Reconstruction Loss 01:48 - The Latent Space 02:08 - Why This Matters *Follow Me* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ 🐦 X: @datamlistic https://x.com/datamlistic 📸 Instagram: @datamlistic https://www.instagram.com/datamlistic 📱 TikTok: @datamlistic https://www.tiktok.com/@datamlistic 👔 Linkedin: https://www.linkedin.com/company/datamlistic *Channel Support* ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ The best way to support the channel is to share the content. ;) If you'd like to also support the channel financially, donating the price of a coffee is always warmly welcomed! (completely optional and voluntary) ► Patreon: https://www.patreon.com/datamlistic ► Bitcoin (BTC): 3C6Pkzyb5CjAUYrJxmpCaaNPVRgRVxxyTq ► Ethereum (ETH): 0x9Ac4eB94386C3e02b96599C05B7a8C71773c9281 ► Cardano (ADA): addr1v95rfxlslfzkvd8sr3exkh7st4qmgj4ywf5zcaxgqgdyunsj5juw5 ► Tether (USDT): 0xeC261d9b2EE4B6997a6a424067af165BAA4afE1a #autoencoders #deeplearning #machinelearning
3. Deep Learning Explained | Applications, Challenges & Ethics
Dive deep into the world of Deep Learning Models in this comprehensive video covering Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), Diffusion Models, and Transformers. Whether you're a student, AI enthusiast, or professional, this video breaks down complex concepts into easy-to-understand explanations. We begin with an introduction to deep learning, the driving force behind modern AI systems like ChatGPT and Google Gemini. Then, we explore how VAEs learn compressed probabilistic representations, how GANs generate realistic data through adversarial training, and how Diffusion Models create high-quality images by reversing noise. Next, we uncover the power of Transformers, the revolutionary architecture behind today’s most advanced natural language processing and multimodal systems. From text generation and translation to image synthesis, these models are transforming industries worldwide. 🚀 What you'll learn in this video: What deep learning models are and why they matter How VAEs, GANs, Diffusion Models, and Transformers work Real-world applications in healthcare, finance, entertainment, and robotics Key challenges like computational cost, bias, and interpretability Ethical concerns including misinformation, privacy, and responsible AI 🌍 Real-World Impact: Discover how deep learning powers innovations such as disease detection, fraud prevention, recommendation systems, autonomous vehicles, and more. ⚠️ Challenges & Ethics: We also discuss the limitations and ethical implications of AI, including bias in datasets, deepfakes, and the importance of transparent AI systems. 📌 Disclaimer: This video is created for educational and knowledge purposes only. The content is AI-generated, and while efforts have been made to ensure accuracy, some information may be incorrect or outdated. Viewers are encouraged to verify facts independently. #DeepLearning #ArtificialIntelligence #MachineLearning #Transformers #GANs #VAEs #DiffusionModels #AI #DataScience #NeuralNetworks #TechEducation #FutureOfAI #AIEthics #GenerativeAI deep learning models, VAE explained, GAN tutorial, diffusion models AI, transformers neural networks, generative AI explained, artificial intelligence basics, machine learning models, GPT and BERT explained, deep learning applications, AI in healthcare, AI ethics issues, neural networks tutorial, AI technologies 2026, generative models comparison
Robotique & IA
🤖🇯🇵 **IREX 2025 à Tokyo dévoile le futur des robots !** Des humanoïdes sauveteurs aux robots compagnons, le Japon et la Chine présentent une nouvelle génération de machines capables d’aider les humains dans les tâches dangereuses, médicales et quotidiennes. 🚀 🔥 Au programme : • **Caleido 9**, le robot de sauvetage géant de Kawasaki • **Friends**, l’assistant domestique pour personnes âgées • **Nurabot**, déjà utilisé dans les hôpitaux • **Corleão**, le cyber-cheval futuriste à hydrogène 🐎⚡ • Des humanoïdes chinois ultra avancés qui accélèrent la course à l’IA robotique 🤯 La frontière entre science-fiction et réalité disparaît peu à peu… 👀 #Robot #IA #Humanoide #Tokyo #IREX2025 #Tech #Innovation #FutureTech #ArtificialIntelligence #Robotique #Kawasaki #AI #Futur #Technologie
iHairium in 60 seconds: AI hair & scalp diagnostics, explained by the founder 💇♀️
Meet Ilia Krav, founder of iHairium, the AI platform for hair & scalp diagnostics in beauty. In 60 seconds, Ilia walks through what iHairium does for a haircare brand. Customers point their phone at their hair and scalp, get a diagnostic from a proprietary computer-vision model (trained on 150,000+ expert-labeled images), and walk away with a personalized routine pulled from your catalog. Trial-and-error haircare shopping becomes a guided purchase, products that work and customers who keep coming back. The platform today: ✔️ 475,000+ diagnostics completed ✔️ 35+ integrations across brands, salons, retailers, and telehealth ✔️ 4+ years in production ✔️ SOC 2 Type II, GDPR and CCPA compliant Works on Shopify, custom ecommerce, native apps, in-store kiosks, salon chairs - any touchpoint where you sell or recommend haircare. Learn more about our solutions & book a call ➡️ ihairium.com/for-health-beauty-brands #beauty #haircare #ai #ecommerce #saas #beautytech #aibeauty #DTC #beautybrand #beautyindustry #beautybusiness #aitools #founderinterview #beautypersonalization #beautyecommerce #aistartup #aihaircare #personalization #foundertalk #leadgeneration #CRO #beautyentrepreneur #shopify #aiforbeauty #b2bsaas
Tesla Optimus vs Boston Dynamics Atlas — Who Wins in 2025? #robot #technology #robotics #future
Tesla has more money. More factories. More engineers. And yet Boston Dynamics still builds the better robot. So what's actually going on — and why might that gap not last? In this video we break down the real difference between Tesla Optimus and Boston Dynamics Atlas. Not the viral clips. Not the hype. Just what actually matters — physical capability, artificial intelligence, and the one factor most people completely overlook. 🤖 What We Cover: ⚡ Why Boston Dynamics still leads on pure physical capability 🧠 How Optimus learns differently from every other robot on Earth 🏭 Why Tesla's manufacturing machine changes everything 💰 The $30,000 question that decides who actually wins 🌍 Why the better robot might not be the one that changes the world Today Atlas wears the crown. But the real race isn't about who builds the most impressive machine. It's about who builds the machine the world actually uses. 💬 Who do you think wins — Tesla Optimus or Boston Dynamics Atlas? Drop your verdict in the comments 👇 🔔 Subscribe to Robo Report — The AI Robot Revolution, Decoded. New videos every week tracking the biggest developments in AI robotics without the hype.