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🧠 “I have not failed, but found 1000 ways to not make a light bulb.” – Thomas Edison

Jun 25, 2023

Hey friends & nerds! 👋

Welcome to the Sunday Science Newsletter where we explore science, systems & tools that help us become smarter scientists.

Work with me 🤝

🎙️AI Accelerated Engineering - Going LIVE Today! 🚀

💻 Sizing inflation layers using a y+ estimation tool - Aidan Wimshurst (Bonus Video for Newsletter Subscribers!)

This interactive course is for anyone who has any interest in CFD or wants to practice his/her Python skills.

Official Website

🤓 Simulink – Your First Model

Simulink is a graphical, block-oriented extension to MATLAB for modeling and simulation of dynamical systems. One of the advantages of Simulink is the ability to model nonlinear systems.

In this blog, you are going to learn how to plot a simple sine wave and modify it inside of Simulink.

Read Simulink Blog

💻 MatGPT - MATLAB® app and class to access ChatGPT API from OpenAI™

MatGPT is a MATLAB app powered by chatGPT class that allows you to easily access the ChatGPT API provided by OpenAI. With the app, you can load a list of prompts for specific use cases and engage in conversations with ease. If you're new to ChatGPT and prompt engineering, MatGPT is a great way to learn. If you're already familiar with ChatGPT, you can directly use the class.

GitHub Repo

🧠 Neural Networks from Scratch

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In this edition of Napkin Math, we’ll invoke the spirit of the Napkin Math series to establish a mental model for how a neural network works by building one from scratch. In a future issue we will do napkin math on performance, as establishing the first-principle understanding is plenty of ground to cover for today!

📚 Book of the Week

Data-Driven Fluid Mechanics: Combining First Principles and Machine Learning

Data-driven methods have become an essential part of the methodological portfolio of fluid dynamicists, motivating students and practitioners to gather practical knowledge from a diverse range of disciplines. These fields include computer science, statistics, optimization, signal processing, pattern recognition, nonlinear dynamics, and control.

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