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.

After a lengthy design process and preliminary foundations in Julia 0.5, Julia 0.6 includes new facilities for writing code in the “vectorized” style (familiar from Matlab, Numpy, R, etcetera) while avoiding the overhead that this style of programming...

Julia Computing's Viral Shah co-created a brand new language while living in Bengaluru. (more…)

A little more than a year ago, in this post, we announced DSGE.jl—a package for working with dynamic stochastic general equilibrium (DSGE) models using Julia, the open-source computing language. At that time, DSGE.jl contained only the code required to sp... (more…)

I’ve recently invested in a deal as close to the platonic ideal that I’m ever likely to see. Here’s what made it special. (more…)