Princeton University

ENS Research Course | INFO5147 | Academic Year 2019-20

The course “Advanced Topics in Information Theory” at the Computer Science Department at ENS de Lyon opens for the fall semester 2019. This course is taught by Samir M. Perlaza and Jean-Marie Gorce.
TechRepublic

Lossless or lossy: If you have big data, know what type of compression to use

The different types of compression can have a huge effect on your big data transfers. Knowing what types to use is important for your business. The world is generating 2.5 quintillion bytes of data ...
Nature

Fast Fourier transform is a training-free, ultrafast, highly efficient, and fully interpretable approach for epigenomic data compression

Improving the efficiency of data compression remains essential for feature selection and data modelling. Current approaches for compressing epigenomic/genomic data highly rely on autoencoder that ...
Nature

A targeted one dimensional fully convolutional autoencoder network for intelligent compression of magnetic flux leakage data

In response to the issue of massive data volume generated by magnetic flux leakage (MFL) non-destructive testing in oil and gas pipelines, an intelligent data compression method based on a targeted ...