Deep Learning is now ubiquitous in the machine learning world. In this blog post, we explore the use of Julia for deep learning experiments on Power Systems + NVIDIA hardware.

📌 Want to learn how to use Dash for Julia to build high-performance dashboards? Reserve your spot for our joint webinar on October 21st! (more…)

When analysing pharmacokinetic data to determine the degree of exposure of a drug and associated pharmacokinetic parameters (e.g., clearance, elimination half-life, maximum observed concentration (), time where the maximum concentration was observed (), N... (more…)

Since Julia has a younger ecosystem, you won't always find the functionality you need for every task.  In those cases, you're left with the choice to either: Implement it yourself. This is great for the Julia community in the long run (especially if you ... (more…)

Improving the user's experience when using C libraries from Julia by using CBinding.jl to avoid the pain points. (more…)