Physics-Informed Neural Networks: Scaling Industrial Digital Twins | Uplatz скачать в хорошем качестве

Physics-Informed Neural Networks: Scaling Industrial Digital Twins | Uplatz

Industrial digital twins are evolving from static simulations into intelligent, real-time systems. At the heart of this transformation are Physics-Informed Neural Networks (PINNs)—models that combine data-driven learning with physical laws. In this video, we break down how PINNs enable scalable, accurate, and adaptive industrial digital twins. This Uplatz Explainer video starts with the foundation of digital twins. We explain how physical assets—turbines, pipelines, robots, manufacturing lines—are represented digitally using simulation models and sensor data. You’ll understand the limitations of purely data-driven or purely physics-based approaches. We then dive into Physics-Informed Neural Networks. Topics include embedding differential equations into neural network loss functions, enforcing boundary conditions, incorporating conservation laws, and solving partial differential equations (PDEs) through learning. You’ll see how PINNs bridge simulation and machine learning. The video also explores scalability and industrial deployment challenges. We cover distributed training, edge data ingestion, real-time inference, hybrid cloud-edge architectures, model calibration, and continuous synchronization between physical systems and digital representations. You’ll understand how to scale digital twins across multiple assets and sites. Finally, we connect PINNs to real-world industrial applications—predictive maintenance, fluid dynamics simulation, structural health monitoring, energy optimization, and smart manufacturing systems. By the end of this video, you’ll have a structured framework for understanding how physics-aware AI is reshaping industrial intelligence. This video is ideal for AI engineers, industrial technologists, simulation experts, IoT architects, and leaders building next-generation cyber-physical systems. #PhysicsInformedNN #DigitalTwins #IndustrialAI #ScientificMachineLearning #AIEngineering #EdgeComputing #SmartManufacturing #MachineLearning #CyberPhysicalSystems #Uplatz ---------------------------------------------- 🌐 Welcome to Uplatz – Your Gateway to Career Transformation! To access full courses or training bundles: 🌐 https://uplatz.com 📧 support@uplatz.com 🎓 About Uplatz Uplatz is a global leader in online IT and professional training, offering comprehensive courses in AI, machine learning, data science, cloud computing, cybersecurity, and enterprise technologies such as SAP, Oracle, Salesforce, and ServiceNow. With expert-led programs and real-world learning paths, Uplatz empowers learners and organizations across 190+ countries to build future-ready skills and thrive in the digital era. 📘 Explore Uplatz Course Portfolio Learn the most in-demand and emerging technologies with Uplatz: ✅ AI & Machine Learning – Agentic AI, LLMs, LangChain, Deep Learning, MLOps, LLMOps ✅ Cloud & DevOps – AWS, Azure, GCP, Docker, Kubernetes, Terraform, CI/CD ✅ Data & Analytics – Data Science, Data Engineering, Power BI, Tableau, Big Data (Spark, Kafka) ✅ Programming & Frameworks – Python, FastAPI, Django, Java, JavaScript, SQL ✅ Cybersecurity & Blockchain – Ethical Hacking, Cloud Security, Zero Trust, Blockchain & Web3 ✅ IoT & Embedded Systems – IoT Platforms, Edge Computing, Embedded C, Microcontrollers ✅ ERP & CRM – SAP (all modules), Salesforce, Oracle ERP, Microsoft Dynamics ✅ Web & App Development – Full-Stack Development, React, Angular, Node.js, Flutter 🎓 Master cutting-edge skills. Build your tech career with Uplatz. 🌐 Learn more: https://uplatz.com 🎯 Why Choose Uplatz ✔️ Job-focused, project-based learning ✔️ Globally recognized certifications ✔️ Lifetime access & affordable pricing ✔️ Career guidance and mentorship 🔔 Subscribe for weekly tech tutorials, demos, and success stories. 📲 Follow us on LinkedIn, Instagram, Twitter, and Facebook. #Uplatz #Tech #Technology #MachineLearning #CloudComputing #Learning