Datascience from the browser with WebAssembly (and other web standards)

A strong trend in data science is the shift of calculations to users (especially for cost and confidentiality constraints). Thanks to the new standards, the web platform is an important vector of this decentralization. This is the case of WebAssembly which is a kind of assembler executable in the browser.

Of course, the data scientist and its important computing needs can benefit from this technology.

We present experiments carried out by Magellium during a study conducted for the CNES. In particular, there are aircraft detection by machine inference learning and cloud detection by deep learning inference.

These slides were presented for TDS #25

Here are the demos showed during the talk.