Science in the service of Quranic preservation.
Studying the intrinsic structure of the Quranic text through memorization heatmaps to identify structurally more complex verses and passages.
Improving spaced repetition algorithms (SRS) and local phonetic alignment models to maximize long-term retention and eliminate unnecessary effort.
Contributing to fundamental research in cognitive neuroscience by modeling human forgetting curves at scale on long, continuous texts.
Browse and download our whitepapers and engineering reports published in open format.
Comparative analysis of ASR performance, noise robustness, and architectural choices for the Tarsikh application.