Don’t tell people your plans.

Hey friends! Welcome to ./engineered_mind.sh – the newsletter if you want to engineer your mind & your life. Subscribe for free and join more than 900 people for exclusive content coming every Sunday!


Don’t miss new nerdy merch on Physics, Mathematics, Engineering and selected VisualizeIdea graphics! :)

Merch Store

CFD "Superman" Cyclist

The analysis is performed by Computational Fluid Dynamics (CFD) simulations with the 3D RANS equations and the Transition SST k-ω model. The simulations are validated wind tunnel measurements. The results are analyzed in terms of frontal area, drag area and surface pressure coefficient.

Download Paper

Simple Multi-Layer Perceptron in Julia

In this example, we create a simple multi-layer perceptron (MLP) that classifies handwritten digits using the MNIST dataset. A MLP consists of at least three layers of stacked perceptrons: Input, hidden, and output. Each neuron of an MLP has parameters (weights and bias) and uses an activation function to compute its output.


Favorite Computer Science Papers

A curated list of great computer science papers that I’ve enjoyed reading and re-reading over the past years.


Upcoming Podcast

For the upcoming podcast I am very happy to welcome Bernat Font to my show!

Dr. Bernat Font obtained his MEng in Aeronautical Engineering from the Universitat Politecnica de Catalunya (Spain) together with an MSc in CFD from Cranfield University (UK) in a double degree program in 2015. He is currently a Postdoctoral researcher at the Barcelona Supercomputing Center (BSC-CNS) working on NextSim, an European project to develop a fast numerical flow solver for aerodynamic applications.

In this podcast, we talked about:

  • Pros & Cons of doing a PhD 📚

  • Turbulence 🌀

  • 3D & 2D Turbulence 🌪️

  • Machine Learning for CFD 💻

  • and much more…

Went Live This Week

Book of the Week

Trust in Machine Learning

You’ll learn how to handle the inevitable distribution shift between training and operating data, measure and mitigate bias and unfairness, and be robust to deliberate sabotage from adversarial attacks. Interpretability techniques demystify how your ML makes its decisions, and transparent reporting mechanisms ensure your whole pipeline is open and explainable. You’ll discover the dark side of AI such as filter bubbles and malicious deepfakes, and learn how to prevent unintended consequences from arising. Finally, you’ll see how machine learning can be used with real benevolence to empower nonprofits and do social good.

Order now.

Visualize Ideas

School & Real-life

Follow me on Instagram to see more of my designs! You can order my canvases my sending me a DM on my socials.

Favourite Animation

Meme of the Week

Don’t judge.

Closing Remarks

If you have any wishes for video topics, you can submit them in this form. Apart from that you can always reach out to me via Twitter or Instagram or LinkedIn, so let’s connect!

Support My Work

Join the Discord server where you can connect with like-minded people.

Exclusive Discord Invitation

For any business related issues or collaborations, feel free to write me an email to engineeredmindbusiness@gmail.com!

See you next week and in the meantime, make sure to keep engineering your mind!