Data Phoenix Digest - ISSUE 46

We are excited to get back to work, to revive Data Phoenix from the ashes of war. Today you will know about emerging architectures for modern data infrastructure, backpropagation in RNN, masked generative image transformer, scalable large scene neural view synthesis, and more.

Dmitry Spodarets

Hi all!

We are excited to get back to work, to revive Data Phoenix from the ashes of war. Wait a bit, and we’ll resume the stream of interesting news & updates on all things AI/ML and Data.

As to the war, it continues. From now on, our team will spend 50% of our ad revenue to support the armed forces of Ukraine — to, finally, end suffering of the Ukrainian people. You too can add your voice to support Ukraine by promoting your brand with us. Learn more about the opportunities here.

If you want to post your articles, research, or any other type of content on our website or in the digest, you can always reach out to us to discuss the terms. Don’t hesitate!

Our slack: data-phoenix.slack.com. Haven't joined yet? Here's the invite link. Feel free to share this link with your friends.


ARTICLES

Deploying Models from Dev to Production with MLflow and Bridge
In this article, you’ll find a step-by-step guide on using MLflow and Bridge to deploy ML models and implement the machine learning workflow, from development to production.

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