James, Alex PappachenIrmanova, AidanaKrestinskaya, Olga2019-09-262019-09-262019-11-29Irmanova, A., Krestinskaya, O., & James, A. P. (2018). Image Based HTM Word Recognizer for Language Processing. In 2018 IEEE International Conference on Consumer Electronics - Asia (ICCE-Asia). IEEE. https://doi.org/10.1109/icce-asia.2018.8552117978-1-5386-5807-910.1109/ICCE-ASIA.2018.8552117http://nur.nu.edu.kz/handle/123456789/4261https://ieeexplore.ieee.org/document/8552117The hardware implementation of neuro-inspired machine learning algorithms for near sensor processing on edge devices is an open problem. In this work, we propose a solution to written word recognition problem related to sequence learning tasks with images. Applying a theoretical framework of neocortex functionality as a sequence learning algorithm on a hardware implementation of Hierarchical Temporal Memory (HTM), we test the potential use of HTM in near-sensor on-chip natural language processing for text/symbol recognition.enAttribution-NonCommercial-ShareAlike 3.0 United StatesHTM Word RecognizerLanguage ProcessingHierarchical Temporal MemoryResearch Subject Categories::TECHNOLOGYArticle