ByteBrief
We're a portrait publication through and through. Turn your phone back and your briefing picks up right where you left it.
(We tried widescreen once. It wasn't us.)

A NeurIPS 2025 paper introduces a framework that evaluates and optimizes imaging systems based on mutual information, not traditional metrics. The method uses noisy measurements and a noise model to quantify how well measurements distinguish objects. It matches state-of-the-art end-to-end methods while requiring less memory, less compute, and no task-specific decoder design.
Tap to vote and see what everyone thinks.
Summary by ByteBrief