K-space native detection of neurological pathologies, including microbleeds, invisible in standard reconstructed MRI images. Learns directly from raw MRI frequency-domain data to surface findings that image-based analysis structurally misses.
interactive, sub-16ms vector explainer built for the DataForge 2026 Pathway Track.It proves why classical State Space Models suffer exponential associative forgetting ($\rho(A)^L$) and visualizes how Pathway's Dragon Hatchling (BDH) synaptic plasticity and BDH CQ continuous latent reasoning eliminate interference without KV-cache explosion.
世界顶级选择性状态空间模型（Selective State-Space Model）· 零依赖纯 JS · 可验证不变量 · 作者：晨星
Project website for MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models
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