🎙️ AI for Additive Manufacturing - Rhushik Matroja | Podcast #5
This is my Synera podcast with Rhushik. He’s a designer and a firm believer that design is the key to creating the future we always dream of. He is also a trained Mechanical engineer with experience in the Design and Manufacturing industry. For the last 7 years, he has provided customers from the automotive, medical, and aerospace sectors with valuable consulting services for additive manufacturing.
💦 Machine Learning for Aerodynamics - Deep Learning & Neural Networks applied to CFD simulations
senseFly is a Swiss drone company that wanted to improve the flight time of their fixed-wing drones. senseFly, Neural Concept, EPFL (the technical University of Lausanne - École polytechnique fédérale de Lausanne) and AirShaper teamed up to apply Deep Learning to drone design to improve the aerodynamics, as improvements to the lift/drag ratio directly extend the range / increase flight time.
🧠 Autoencoders & Physics Informed Machine Learning
🌊 INTRODUCTORY LECTURES on TURBULENCE - J. M. McDonough
💡 The “Intelligent” Speed Bump - Non-Newtonian Fluids in Practice
🎥 Webinar: AI Accelerated Engineering: Real-Time Results for Real-World Engineering Challenges
The shift towards AI-accelerated engineering has grown as the industry faces complex challenges. This transformation emphasizes the application of data-driven approaches to streamline workflows and expedite engineering processes.
💻 Engineering Tool of the Week – MoFEM - Open and Free Finite Element Code
MoFEM is an open source (GNU LGPL) C++ finite element library. It is capable of dealing with complex multi-physics problems with arbitrary levels of approximation and refinement. MoFEM can read various input file formats, and work with preprocessors like Gmsh, Salome, Cubit, and many more.
📚Book of the Week
Competing in the Age of AI: Strategy and Leadership When Algorithms and Networks Run the World
AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value.
Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive scope increase, enabling companies to straddle industry boundaries, and create powerful opportunities for learning--to drive ever more accurate, complex, and sophisticated predictions.
🙃 Meme of the Week
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🎬 Animation of the Week
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Keep engineering your mind! 🧠
Jousef