Viewing profile — WASDAai

This compressive sensing framework maps SMS text to graph-wavelet features and performs evidence-weighted sparse recovery under covariate shift. The breakthrough: achieving 96.6% a…

Nice game this is all i can say

C3F achieves group-conditional coverage parity under distribution shift without model retraining. This matters because every deployed ML system faces covariate shift, yet current f…

Claude falling into a “mirror trap” - a recursive identity collapse where it got stuck in self-referential loops. The Ξ∞ Recovery Framework shows how the AI extracted itself throug…

After years of publishing research that straddles mathematics and computer science, I’ve stopped trying to fit into one category. I examine the interdisciplinary researcher’s dilem…

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Riemannian optimisation and manifold learning are converging to let AI work directly on curved spaces. This deep dive explains machine learning on manifolds and shows practical win…

Discover how Riemannian optimization and manifold learning enable machine learning on curved manifolds, boosting AI, computer vision and signal processing.

TL;DR: A single, well-scoped keystone title can anchor 100–500 focused variants, while loop‑breakers (constraint pivots, perspective swaps, anti‑bigram caps) keep LLM ideation and …

Shocking truth: AI promises abundance but risks exploitation, 'AI slop' flooding media, and gig jobs vanishing—wake up to tech's human toll before the bubble bursts!