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📚 "The ideal engineer is a composite, using knowledge and techniques from various disciplines to solve engineering problems.” – N.W. Dougherty
Hey friends & nerds! 👋
Welcome to a new episode of the Sunday Science Newsletter where we explore science, systems & tools that help us become smarter scientists.
🚀 How Machine Learning Transformed the Porsche 919 Hybrid Evo
The Porsche engineers have utilized machine learning algorithms to revolutionize airfoil design. By analyzing a database of approximately 1600 airfoils, they distilled an "airfoil DNA" comprising only 5 to 10 critical design parameters. To find the best airfoil, optimization algorithms inspired by natural evolution were employed, significantly reducing the number of designs to evaluate and leading to remarkable efficiency in identifying optimal solutions.
💦 6 Days of Captivating Language Model Content!
Buckle up, engineers! Next week, I will introduce you with small and informative posts on a fascinating journey through the world of large language models (LLMs).
Be sure to check your LinkedIn every day, as you won't want to miss a single piece of this language model extravaganza!
💦 The Matrix Calculus You Need For Deep Learning
This page explains all the matrix calculus you need in order to understand the training of deep neural networks.
💻 FEM - Material & Geometric Nonlinearity
The blog post by my friend Lukasz Skotny highlights the significance of nonlinear analysis in engineering practice, especially when facing intricate problems beyond simple linear calculations. Nonlinear analysis becomes essential when dealing with high stresses, plasticity, or changes in geometry.
🎙️ Physicists Uncover New Dynamical Framework for Turbulence
Physicists from Georgia Institute of Technology have discovered that turbulence can be understood and quantified using a small set of special solutions to fluid dynamics equations. This finding challenges the traditional view of turbulence as a random process and opens new possibilities for predicting and controlling turbulent flows. The research was published in Proceedings of the National Academy of Sciences on August 19, 2022.
💻 Tool of the Week – FeenoX
FeenoX can be seen either as
a syntactically-sweetened way of asking the computer to solve engineering-related mathematical problems, and/or
a finite-element(ish) tool with a particular design basis.
📚 Book of the Week
Grokking Machine Learning
Grokking Machine Learning presents machine learning algorithms and techniques in a way that anyone can understand. This book skips the confused academic jargon and offers clear explanations that require only basic algebra. As you go, you’ll build interesting projects with Python, including models for spam detection and image recognition. You’ll also pick up practical skills for cleaning and preparing data.
🙃 Meme of the Week
Spoiled generation!
🔗 Important Links
⚙️ MATLAB & Simulink - A Hands-On Course for Beginners
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🎬 Animation of the Week
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Keep engineering your mind! 🧠
Jousef