Videos de Ciencia
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Ciencia 255 videos
VTU ML BCS602 | Artificial Neuron Model & ANN Structure | Module 4 | Important
Welcome to Express VTU 4 All 🎓 In this video, we explain a very important Artificial Neural Network (ANN) theory question from Module–04: Neural Networks for VTU (BCS602). This question is frequently asked in VTU examinations and is a guaranteed 8–10 mark scoring question. 📌 Exact Question Covered Explain the simple model of an Artificial Neuron along with the Artificial Neural Network (ANN) structure. 🧠 What You Will Learn ✔ What is an Artificial Neuron ✔ Biological Neuron vs Artificial Neuron ✔ Components of Artificial Neuron ✔ Weighted Sum Calculation ✔ Activation Function ✔ Output Generation Process ✔ Structure of Artificial Neural Networks ✔ Input, Hidden, and Output Layers ✔ How to write answers in VTU exam format 📘 Introduction to Artificial Neuron An Artificial Neuron is the basic processing unit of an Artificial Neural Network (ANN). It receives input signals, processes them using weights and activation functions, and produces an output. Artificial neurons are inspired by the working of biological neurons in the human brain. 🧾 Simple Model of Artificial Neuron An artificial neuron consists of: 👉 1. Inputs (x₁, x₂, x₃, ...) Input values received from data. 👉 2. Weights (w₁, w₂, w₃, ...) Each input is assigned a weight representing its importance. 👉 3. Summation Unit Calculates weighted sum: z= i=1 ∑ n w i x i +b 👉 4. Bias (b) Additional parameter used to improve learning capability. 👉 5. Activation Function Converts weighted sum into output. Examples: Sigmoid ReLU Tanh 👉 6. Output (y) Final result produced by the neuron. 🌟 Artificial Neuron Diagram x1 ──(w1)──┐ x2 ──(w2)──┼──► Σ + b ──► Activation Function ──► Output y x3 ──(w3)──┘ 📘 Artificial Neural Network (ANN) Structure An Artificial Neural Network consists of interconnected neurons arranged in layers. 👉 1. Input Layer Receives input data No computation performed Example: Age, Salary, Marks 👉 2. Hidden Layer(s) Performs computations Extracts patterns and features Example: Feature learning 👉 3. Output Layer Produces final prediction Example: Pass/Fail, Yes/No 🌟 ANN Structure Diagram Input Layer Hidden Layer Output Layer x1 ● ─────┐ ├──► ● ───┐ x2 ● ─────┤ ├──► ● (Output) ├──► ● ───┘ x3 ● ─────┘ 🎯 Working of ANN Step 1: Input data enters the network. Step 2: Weights are applied to inputs. Step 3: Weighted sum is computed. Step 4: Activation function processes the result. Step 5: Output is generated. Step 6: Weights are adjusted during training. ✅ Advantages of ANN ✔ Learns complex patterns ✔ Handles nonlinear data ✔ High prediction accuracy ✔ Self-learning capability 🎯 Exam Writing Strategy (VERY IMPORTANT) ✔ Define Artificial Neuron first ✔ Draw neuron diagram neatly ✔ Explain each component separately ✔ Draw ANN structure diagram ✔ Explain Input, Hidden, and Output layers 👉 This ensures full 10 marks 📊 Marks Weightage ✅ Usually asked for 8–10 Marks ✅ Theory + Diagram question ✅ Frequently repeated in VTU exams 🚀 Why This Question Is Important ✔ Foundation of Deep Learning ✔ Core concept of Neural Networks ✔ Frequently asked in VTU exams ✔ Important for AI and ML interviews 📚 Subject Details 📌 Subject: Machine Learning 📌 Subject Code: BCS602 📌 Module: 04 – Artificial Neural Networks 📌 University: VTU (CBCS Scheme) 📲 Free Notes & Updates Join Telegram for ML notes + important questions 👇 🔗 https://t.me/vtu4all artificial neuron model VTU artificial neural network structure ANN explained BCS602 machine learning module 4 neural networks VTU ML important questions #VTU #BCS602 #MachineLearning #ArtificialNeuron #ANN #NeuralNetworks #DeepLearning #VTUExams 👉 Watch till the end to master Artificial Neural Networks and learn how to draw ANN diagrams perfectly for full marks in VTU exams.
SESGOS #19 - Marina Rojo: Medicina, datos y diagnóstico en tiempos de IA
En este episodio de Sesgos conversamos con Marina Rojo, médica y directora del Laboratorio de Innovación Tecnológica en Salud Pública de la Facultad de Medicina de la UBA, sobre inteligencia artificial aplicada a salud, sesgos en los algoritmos, regulación, privacidad de los datos médicos y el impacto de estas tecnologías en el trabajo profesional.
La Inteligencia Artificial nos dejará sin futuro: ¡¡¡Así podría pasar!!!
La IA (Inteligencia Artificial) ya no es solo una herramienta: se está organizando. En este video explico por qué se hacen experimentos como Moltbook, el auge de agentes autónomos, y fallos reales de las IA como apagones y algoritmos con poco acierto. ¿Estamos preparados para este cambio tecnológico? ¿Qué puedes hacer hoy para proteger tu identidad digital, tu trabajo y la democracia? Suscríbete y activa la campana para no perderte nuestros análisis semanales. 00:00 Introducción de IA y por qué importa 05:16 Qué es un bot, un agente y una API 11:13 El caso Moltbook: qué pasó y por qué es alarmante 14:11 Cómo las IAs replican sesgos y cámaras de eco 19:36 Hackers y la IA 24:42 El peor escenario de la IA 26:25 ¿Qué podemos hacer? (seguimiento humano, regulación, educación) Conviértete en miembro de este canal para disfrutar de ventajas: https://www.youtube.com/channel/UCmHv37aBniCJK0ihYmHDqAg/join 💟 SÍGUEME EN Instagram 👉 https://www.instagram.com/gabriel.bulgakov/ Facebook: https://www.facebook.com/topdeimpacto TOP DE IMPACTO Gabriel Bulgakov
Did China Actually Create an Artificial Womb Robot? | The Shocking Truth
Did China Actually Create an Artificial Womb Robot? | The Shocking Truth Did China's Kaiwa Technology really unveil a $14,000 humanoid robot with an artificial womb at the 2025 World Robot Conference? In this video, we fact-check the viral claims surrounding artificial wombs (ectogenesis). While scientists at the Children's Hospital of Philadelphia successfully kept a lamb alive in an artificial womb back in 2017, replicating the entire 9-month human gestation period inside a machine presents massive biological and ethical challenges—such as replicating maternal hormones and navigating global 14-day limit laws on human embryos. Watch till the end to find out if this technology is the next giant leap for humanity, or just another AI-generated hoax. Don't forget to like, share, and subscribe to Hidden Science for more simplified science and global updates. Disclaimer: The information presented in this video is gathered from public news sources, scientific journals, and tech publications for educational and informational purposes. This video does not provide medical advice. Visuals used may include AI-generated concepts to represent speculative technology. #ArtificialWomb #Biotechnology #FutureTech #ScienceFactCheck
La verdad sobre la IA: Lo que necesitas saber (Explicación para principiantes)
¿Qué es realmente la Inteligencia Artificial? Más allá del ruido mediático y la ciencia ficción, la IA es la herramienta tecnológica más transformadora de nuestra era. En este video desglosamos el concepto desde cero, de forma clara, precisa y con un enfoque estrictamente profesional, sin tecnicismos innecesarios. Aprenderás la diferencia exacta entre Machine Learning y Deep Learning, cómo funcionan las redes neuronales y qué es la IA Generativa, todo explicado de forma detallada y estructurada para que domines los conceptos esenciales de inmediato. También analizamos los límites técnicos actuales, como los sesgos de datos y las llamadas "alucinaciones", para que comprendas el panorama real con criterio propio. Si quieres dominar los fundamentos de la tecnología que está redefiniendo la productividad y el futuro del trabajo, este video es el punto de partida que necesitas. #inteligenciaartificial #ia #gemini #claude #chatgpt #explicaciondefinitiva #guiadefinitivo
Unlocking the Secrets: How Large Language Models Actually Work!
Unlocking the Secrets: How Large Language Models Actually Work! Join us for an enlightening webinar that dives deep into the mechanics of Large Language Models (LLMs)! 🌐 Whether you’re a tech enthusiast, a developer, or just curious about AI, this session is tailored for you. In this comprehensive webinar, we will demystify the complex architecture behind LLMs and provide insights into their functioning, applications, and implications for the future of technology. 📊 🔍 What to Expect: Understanding LLMs: Learn the foundational concepts behind Large Language Models, including their architecture and training processes. Real-World Applications: Explore how LLMs are transforming industries—from customer service to content creation and beyond! Ethical Considerations: Discuss the ethical implications of LLMs, including biases, misinformation, and the importance of responsible AI. Future Trends: Get a glimpse into the future of AI and language processing technologies. This interactive session includes a Q&A segment where you can ask questions and engage with our expert panel. Don’t miss this chance to enhance your understanding of one of the most exciting advancements in AI! 🎤 Register now and be part of the conversation that shapes the future of technology! 💼 For Any Business Requirement: https://www.sjinnovation.com/contact-us Facebook: https://www.facebook.com/sjinnovation Twitter: https://twitter.com/sjinnovation LinkedIn: https://www.linkedin.com/company/sj-innovation Instagram: https://www.instagram.com/sj_innovation/ Pinterest: https://in.pinterest.com/sjinnovationllc/ Facebook Bangladesh: https://www.facebook.com/sjinnovationbangladesh Facebook Goa: https://www.facebook.com/sjinnovationgoa Get top-notch healthcare software solutions from SJ Innovation 🏥 Streamline your practice, improve patient care, and boost efficiency with our cutting-edge software 💻 👉 Check out our services here: Drupal Development: https://sjinnovation.com/drupal-service Quality Assurance & UAT: https://sjinnovation.com/quality-assurance-uat Email & Landing Page Design: https://crafted.email Mobile App Development: https://sjinnovation.com/mobile-app-development AWS Cloud Services: https://sjinnovation.com/aws-cloud-services Magento Services: https://sjinnovation.com/magento-development-service Headless CMS Development: https://sjinnovation.com/headless-cms-service Flutter Services: https://sjinnovation.com/flutter-services MERN Service: https://sjinnovation.com/mern-service QA Automation: https://sjinnovation.com/qa-automation Shopify Service: https://sjinnovation.com/shopify-service #LargeLanguageModels #LLMs #AIWebinar #LanguageProcessing #MachineLearning #NaturalLanguageProcessing #AIApplications #TechSeminar #AITrends #EthicalAI #AIArchitecture #DeepLearning #DataScience #AICommunity #AIInsights #TechEducation #FutureOfAI #AIImplications #AIForBusiness #TechnologyInnovation #AIResearch #AIChallenges #LanguageModels #ModelTraining #ConversationalAI
LLM Explicado do Zero: Como o ChatGPT Entende Texto e Responde
Você já se perguntou o que acontece quando você envia uma mensagem para uma inteligência artificial? Neste vídeo, você vai entender de forma simples como funcionam os LLMs, os modelos de linguagem de grande escala usados por ferramentas como chatbots, assistentes virtuais e aplicações modernas de IA. ⭐ Curso de Python Completo (Do Zero ao Pro): https://academify.com.br/python-completo 🎁 Curso Grátis: https://academify.com.br/curso-gratis-python/ 💻 Compilador Python Online: https://academify.com.br/compilador-python-online/ 📌 Gostou do vídeo? Deixe o like 👍, se inscreva no canal 🔔 e compartilhe com quem está aprendendo Python! 00:00 - O que acontece quando você manda uma mensagem para uma IA 00:15 - O que é um LLM 00:30 - Como o texto vira tokens 00:45 - Tokenização na prática 01:00 - Como a IA prevê a próxima palavra 01:15 - Probabilidades e escolhas do modelo 01:30 - Janela de contexto: a memória da conversa 01:45 - Mecanismo de atenção explicado 02:00 - Embeddings e vetores de significado 02:15 - Parâmetros: o peso do treinamento 02:30 - Por que a IA pode alucinar 02:45 - Feedback humano e melhoria das respostas 02:55 - Token por token: como a resposta é gerada 📲 Me acompanhe: Blog: https://academify.com.br/blog/ Instagram: https://www.instagram.com/leandrohirt.oficial TikTok: https://www.tiktok.com/@leandrohirt.oficial #python #programação #aprendapython #pythonbrasil #dev
Neuromorphic Computing Explained | Spiking Neural Networks (SNNs), Brain-Inspired AI & Future H/W
Unlock the future of artificial intelligence with this in-depth educational video on Neuromorphic Computing—a revolutionary approach that mimics the human brain to create ultra-efficient, adaptive, and intelligent systems. In this lecture-style video, we explore how next-generation AI systems are being designed using brain-inspired principles, combining neuroscience with cutting-edge computing technologies. 🔍 What You Will Learn in This Video: ✅ What is Neuromorphic Computing and how it differs from traditional computing ✅ Understanding Spiking Neural Networks (SNNs) and event-driven learning ✅ The role of neuromorphic hardware in enabling energy-efficient AI ✅ Why hardware-software co-design is essential in modern AI systems ✅ The concept of brain-inspired AI and its advantages over deep learning ✅ Real-world applications in robotics, IoT, healthcare, and autonomous systems ✅ Current challenges and future trends in neuromorphic technology 🧠 Why This Topic Matters: Traditional AI models consume massive computational power and data. Neuromorphic computing offers a paradigm shift toward: ⚡ Ultra-low power consumption 🧩 Real-time adaptive learning 🤖 Efficient edge AI systems 🧠 Human-like intelligence in machines This makes it a critical area for researchers, students, and professionals in: Artificial Intelligence Machine Learning Embedded Systems Robotics Cognitive Computing 🎓 Who Should Watch This? ✔️ Students & researchers in AI/ML ✔️ Engineering & computer science learners ✔️ Educators creating advanced tech content ✔️ Professionals exploring next-gen AI systems ✔️ Anyone curious about brain-inspired computing 🚀 Topics Covered: Neuromorphic Computing Fundamentals Spiking Neural Networks (SNNs) Neuromorphic Chips & Architectures Hardware-Software Co-design Brain-Inspired Artificial Intelligence Future of AI Systems ⚠️ Disclaimer: This video is created using AI-generated content for educational and knowledge-sharing purposes only. While efforts have been made to ensure accuracy and relevance, some information may be incomplete or outdated. 👉 Viewers are strongly encouraged to verify facts from reliable academic and professional sources before applying the concepts. 📢 Engage With Us: If you found this video valuable: 👍 Like the video 💬 Comment your thoughts or questions 🔔 Subscribe for more AI & emerging tech content 📤 Share with fellow learners and researchers #NeuromorphicComputing #SpikingNeuralNetworks #BrainInspiredAI #ArtificialIntelligence #MachineLearning #EdgeAI #AITrends #DeepLearning #FutureOfAI #NeuralNetworks #AIResearch #TechEducation #SNN #NeuromorphicHardware #AIInnovation Neuromorphic Computing, Spiking Neural Networks, SNN explained, Brain Inspired AI, Neuromorphic Hardware, AI hardware design, Hardware Software Co-design, AI future technologies, event driven neural networks, STDP learning rule, low power AI systems, edge AI computing, artificial intelligence tutorial, machine learning lecture, neuromorphic chips, Intel Loihi, IBM TrueNorth, SpiNNaker, cognitive computing, advanced AI concepts, AI education, neural networks explained, emerging AI technologies, real time AI systems
Puerto Rico ante el futuro digital: educación, inteligencia artificial y transformación tecnológica
En Iglesia, Estado y Sociedad abordamos un tema crucial para el presente y el futuro de Puerto Rico: la educación tecnológica, la inteligencia artificial y el desarrollo de una economía digital sólida y competitiva. Conversamos sobre la brecha entre la academia y la industria tecnológica, los desafíos que enfrentan los estudiantes para integrarse al mercado laboral real y la necesidad de una formación más actualizada, práctica e innovadora. Además, dialogamos sobre el impacto de la inteligencia artificial avanzada, la preparación ética y social que exige esta transformación y el potencial de Puerto Rico para convertirse en un verdadero hub tecnológico. Un espacio educativo y de reflexión dirigido a informar, motivar y promover una visión de país centrada en la innovación, el talento y las oportunidades del futuro digital.
Por qué China ya fabrica el 80% de los robots humanoides del mundo
¿Estamos ante el 'momento Tesla' de la robótica? En este análisis profundo de Mundo Sin Occidente, exploramos cómo la robótica humanoide está dejando de ser una fantasía de laboratorio para convertirse en una realidad industrial masiva liderada por China. En 2025, el gigante asiático no solo domina la producción, sino que ha establecido un monopolio de facto con más del 80% de las instalaciones globales. Analizamos el ascenso meteórico de empresas como AgiBot, fundada por ex-ingenieros de Huawei, y la disrupción de precios de Unitree, que ha lanzado robots por una fracción del coste de sus competidores estadounidenses. Descubre cómo la integración de estos autómatas en las fábricas de BYD, NIO e incluso Airbus está reconfigurando las cadenas de suministro y amenazando la ventaja competitiva de la mano de obra barata en el sudeste asiático y México. La automatización industrial impulsada por la IA no es solo una cuestión de ingeniería; es una guerra por la hegemonía económica. Desde Shenzhen hasta los mercados financieros, China está dictando las reglas del juego. ¿Podrá Occidente recuperar el terreno perdido o estamos ante una dependencia estructural irreversible similar a la de los paneles solares? Si te interesa la geopolítica tecnológica y el futuro de la industria, suscríbete para más análisis exclusivos. Aviso legal: Este vídeo tiene fines puramente informativos y educativos. Las menciones a inversiones, rondas de financiación y salidas a bolsa no constituyen asesoramiento financiero ni recomendaciones de inversión. #Robótica #china #ia #tecnologia ía #geopolitica ítica #humanoides