Published in


Oxford Novel Image Compression Method COIN: Better Than JPEG at Low Bitrates!

In a new paper, University of Oxford researchers introduce a novel image compression approach that outperforms the JPEG standard at low bitrates, even without entropy coding or learning a distribution over weights.

Recently developed autoencoder methods for lossy image compression have attracted attention in the machine learning and…




We produce professional, authoritative, and thought-provoking content relating to artificial intelligence, machine intelligence, emerging technologies and industrial insights.

Recommended from Medium

What are the positive factors of Memory FoamMattresses?

IBM Proposes Effective ML Drift Detection Via Weak Data Slices

Neural Networks for Noobs Part 1: Intro and the Machine Learning Problem

[ Archived Post ] From GANs to Variational Divergence Minimization

3 Different Techniques to build Recommender Systems for Restaurants based in San Francisco

[ Archived Post ] Exploring Weight Symmetry in Deep Neural Networks

Create an image dataset from Google Images and classify the images using Fastai

Starbucks Capstone Challenge

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


AI Technology & Industry Review — | Newsletter: | Share My Research | Twitter: @Synced_Global

More from Medium

HPC-AI’s FastFold Shortens AlphaFold Training Time from 11 Days to 67 Hours

Interaction-Grounded Learning: Learning from feedback, not rewards

Tsinghua & NKU’s Visual Attention Network Combines the Advantages of Convolution and…

DeepMind Trains AI Agents Capable of Robust Real-time Cultural Transmission Without Human Data