Электронный каталог

Статья

Adam, Gh.
Prerequisites for Artificial Intelligence Driven Automatic Adaptive Quadrature : [Abstract] / Gh.Adam, S.Adam // Физика элементарных частиц и атомного ядра. – 2025. – Т. 56, № 6 : Международная конференция «Математическое моделирование и вычислительная физика», Ереван, Армения, 21–25 октября 2024 г. : Материалы. – P. 1913. – URL: https://www1.jinr.ru/Pepan/v-56-6/Adam.pdf.

Prerequisites for the implementation of an artificial intelligence (AI) driven automatic adaptive quadrature of the one-dimensional Riemann integral are formulated. The need for this approach follows from the occurrence of critical circumstances, which result in code fragility preventing the derivation of a reliable and fast output since their handling is out of the control of existing automatic adaptive quadrature algorithms. In the near future, the artificial intelligence generated process is expected to show narrow AI capabilities (the ability to solve a single task at a time) with limited memory AI functionalities (few persistent memory features).



Спец.(статьи,препринты) = Ц 849 - Искусственный интеллект. Теория и практика
Спец.(статьи,препринты) = С 17 - Вычислительная математика. Таблицы
ОИЯИ = ОИЯИ (JINR)2025