At Embecosm, we have recently been taking an interest in time series modelling in the context of the COVID-19 pandemic and, in particular, the application of Bayesian methods to these problems. In this blog post, we want to backtrack… Read More
As part of our work in Open Source and Machine learning, Embecosm has recently been undertaking a project to make the UCL model of the COVID-19 pandemic fully free and open source (see the repository here). The UCL model… Read More
In this series of blog posts, we discuss work done to port the COVID-19 Dynamic Causal Model (DCM) to Octave, an open source tool. While this project was conceptually simple (especially given the strong similarity between the two languages we… Read More
In this series of blog posts we discuss work done to port the COVID-19 Dynamic Causal Model (DCM) to Octave, an open source tool. In other blog posts we discuss an overview of the problem, and the practical… Read More
In a previous blog post, we announced that Embecosm will be hosting two projects for the 2021 Google Summer of Code (GSOC). You can read more about GSOC itself here, details of the application process for students here,… Read More
Embecosm has been working with Southampton University as an industrial partner for it’s MEng final year Group Design Projects. The scope of this project was to create a RISC-V based instruction set extension to accelerate AI and machine learning applications. Read More
Here, we discuss an interesting problem: the task of analyzing the respective performance of two compilers to see which one is better. Explicitly, we have two (or more) different compilers that we wish to compare, and we’re trying to quantify… Read More