./episode_104.sh

📚 If you think education is expensive, try ignorance.

Nov 27, 2022

Hey friends & nerds! 👋

Welcome to the Sunday Science Newsletter – in this newsletter we explore & discuss strategies, systems & tools that help us become better, smarter and more effective scientists.

👉 See All Courses

💦 New Blog Post - The Reynolds Number

Read Now

As engineers, physicists or biologists, we can luckily predict whether the flow in a given system should be laminar or turbulent. Read about the dimensionless Reynolds number which is the ratio of inertial forces to viscous forces and is used to distinguish laminar and turbulent fluid systems.

🚀 A Patented Electric-Based Jet Propulsion System – Alfred Belen

💻 Stable Diffusion 2.0 Release

The Stable Diffusion 2.0 release includes robust text-to-image models trained using a brand new text encoder (OpenCLIP), developed by LAION with support from Stability AI, which greatly improves the quality of the generated images compared to earlier V1 releases. The text-to-image models in this release can generate images with default resolutions of both 512x512 pixels and 768x768 pixels.

Full Blog Post

💻 Interactive 3D TopOpt App

TopOpt3D is an interactive topology optimization tool that solves the minimum compliance problem in 3D! The App allows the user to change loads, supports and the volume fraction on the fly, and watch the design evolve to a new optimum in real-time.

💻 Engineering Tool of the Week – Dicehub

Real-time collaboration for fluid dynamics simulations. Accelerate your CFD simulation workflow and improve teamwork with real-time collaboration.

Official Website

📚 Book of the Week

Interpretable AI

Interpretable AI opens up the black box of your AI models. It teaches cutting-edge techniques and best practices that can make even complex AI systems interpretable. Each method is easy to implement with just Python and open source libraries. You’ll learn to identify when you can utilize models that are inherently transparent, and how to mitigate opacity when your problem demands the power of a hard-to-interpret deep learning model.

Get from Manning

📅 Upcoming Events for Engineers

The Future of Engineering Crash Testing With BMW Group- AI for Automotive

In an upcoming Monolith webinar, Oliver Walter and I will showcase how Monolith’s self-learning models can benefit test engineers in the automotive industry. This webinar focuses primarily on cost and time-critical, as well as safety-critical crash test applications, and how predictive, data-driven models are cutting down testing time and costs, whilst preserving the integrity and results without disrupting existing engineering workflows.

Talk by me about AI, Engineering & Career Development

I will talk about my experiences in academia and industry, what I have learnt from both, and how engineers in these two areas approach problems differently. Through interviews with experts in his fields of interest, Jousef has insight to share on how to be a better researcher, programmer and overall engineer. Finally, he can give us advice on what jobs in industry look for in post-graduate applicants and how we can shape up our CV to help us land a job in industry.