Работы, цитирующие эту работу

Работ: 2

Работа: Memristors—From In‐Memory Computing, Deep Learning Acceleration, and Spiking Neural Networks to the Future of Neuromorphic and Bio‐Inspired Computing

1. Enhanced electrical and magnetic properties of (Co, Yb) co-doped ZnO memristor for neuromorphic computing

   Noureddine Elboughdiri, Shahid Iqbal, Sherzod Abdullaev +4

   СтатьяAdvanced Memory and Neural ComputingRSC Advances2023Цитирований: 6

   ABIABI:AkademIndex/openalex/2023.article.000236

2. Memristors: types, characteristics and prospects of use as the main element of the future artificial intelligence

   А. Yusupov, A. É. Atamuratov, A.E. Abdikarimov +5

   СтатьяAdvanced Memory and Neural Computing2022Цитирований: 0

   ABIABI:AkademIndex/openalex/2022.article.011219