We discuss constraint programming, an approach to solve discrete optimization problems, and illustrate how it works with a scheduling code example implemented in Python with the CP-SAT solver.

Reproducibility has become a big deal. Whether it’s having higher confidence in one’s build or trying to better understand your supply chain for provenance, having an accurate view of your build graph is a must. Tools such as Bazel have picked up mainstream…

Sometimes the custom 5-port gigabit switch _is_ the solution.

Almost 200 years before scientists accepted black holes exist, a British clergyman called John Michell published some surprisingly prescient ideas about these strange cosmic objects.

Robert Barsky examines the profound impact of "Homage to Catalonia" on Noam Chomsky's early embrace of left-libertarian and anarchist ideologies.

The AI bubble is reaching a tipping point. As we continue to follow the GPUs, navigating what comes next will be essential.

Remove unwanted background noise and achieve studio quality audio for any film, podcast, or interview

Always on Profiling for Production Systems

The 2024 Abel Laureate Michel Talagrand shares his advice to young mathematicians.

Filmed by Tor Torgesen
Edited by Eivind Lotsberg

Getting my location history from Google and analyzing it with Python.

If you are a Mac user, or if you have transferred files from Mac to Windows, you’re probably familiar with .DS_Store files. But where does this name come from?

It really should be acceptable and normal to say “I don’t entirely understand what I just read, but I loved it.”

On the freaky model world of the Dollomites; plus—more lucid dreaming and a roundup of recent favorites.

The cause is just as concerning as the color.

A detailed blog post on optimizing multi-threaded matrix multiplication for x86 processors to achieve OpenBLAS/MKL-like performance. Tags: High-performance GEMM on CPU, Fast GEMM on CPU, High-performance matrix multiplication on CPU, Fast Matrix Multiplication…

My personal website

Trackmania: the world's most competitive racing game. In this post, we begin our journey towards training a neural network to superhuman performance, by chronicling the history of previous attempts.