A detailed account of Neon — a scalar Helmholtz solver and ML research platform built to answer one question honestly: does this training pipeline produce a surrogate model you can actually trust?
A systems-engineer’s map of optical neural networks: what the optical core actually computes, how MZI meshes and diffractive systems differ, where training and calibration fit, and where the real engineering tradeoffs show up.
How humanity learned to bend, trap, and reshape light at scales far below the width of a human hair, and why that matters for sensing, computing, imaging, and quantum technology.