Как мы в Azoft проводим тестирование программного обеспечения

Новые интеллектуальные больничные системы, «умное» медицинское оборудование и носимые устройства, которые появляются почти каждый день, должны быть безопасными и надежными. Думаю, важность данного вида тестирования понятна и не требует обоснования. Ведь всем понятно,...

Article: Proposal of algorithms to make up for lost school and university years in post-conflict African countries in the face of Covid-19: case of the Central African Republic Journal: International Journal of Mobile Learning and Organisation IJMLO 2022 Vol 16 No.4 pp.507 525 Abstract: The 12 years of politico-military crises in the Central African Republic CAR, has created an educational social imbalance in the rural areas of CAR compared to the capital city of Bangui. In some rural areas of CAR, children have not attended school during the 12-year war. The situation has worsened with the Covid-19 pandemic. We modelled two algorithms and materialised them by developing an API Framework Rasa chat bot that uses the main components Rasa NLU, Rasa Core and the programming language Python for the remediation of lost school and university years in African countries in conflict, particularly CAR. It also allows for the orientation in normal, professional and specific training in each province of the CAR, according to the level required of the learner. It takes into account the social distancing imposed by the Covid-19 pandemic. Inderscience Publishers linking academia, business and industry through research

The Non-Technical Guide to Popular Conversational AI Terminology Considering the staggering amount of unstructured data that’s generated every day, from medical records to social media, automation will be critical to fully analyse text and speech data efficiently. The...