Google Squoosh replaced TinyPNG in my workflow with faster offline compression, flexible quality controls, real-time comparison, and support for more image formats.

Every day humanity creates billions of terabytes of data, and storing or transmitting it efficiently depends on powerful ...

Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

Abstract: Underwater applications such as exploration and salvage operations require capturing underwater images (UWIs) to evaluate attributes such as the shape and structural integrity of submerged ...

This project presents an advanced image compression system designed to enhance the standard JPEG algorithm by introducing a more perceptually-driven approach. The traditional JPEG standard relies on a ...

John Peterson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...

Abstract: Learning-based image compression algorithms typically focus on designing encoding and decoding networks and improving the accuracy of entropy model estimation to enhance the rate-distortion ...