Hardware realization of artificial intelligence (AI) requires new design styles and even
underlying technologies than those used in traditional digital processors or logic circuits …

Deep Neural Networks (DNNs) are increasingly used in safety critical autonomous systems.
We present MOZART+, a DNN accelerator architecture which provides fault detection and …

Deep Neural Networks (DNNs) are increasingly used in safety critical autonomous systems.
In this paper, we present MOZART, a DNN accelerator architecture which provides fault …

Quantized neural networks (QNNs) are increasingly considered for adoption on multiple
applications, thanks to their high accuracy, but also since they allow for significantly lower …

this paper describes an algorithm for classification of roof materials using aerial
photographs. Main advantages of the algorithm are proposed methods to improve prediction …

Abstract Training Convolutional Neural Networks that do well in one-shot learning settings
can have wide range of impacts on real-world datasets. In this paper, we explore an …

В статье рассматривается проблема нахождения оптимальной конфигурации
архитектуры параллельной потоковой вычислительной системы (ППВС) для решения …

the paper proposes methodology for transferring architecture of modern neural network
CenterNet to FPGA. CenterNet is a OneStage object detector that is used to detect and …

When developing modern supercomputers, the main emphasis is on increasing the number
of computational cores. A large number of cores leads to an increase in the probability of …

В статье предложена методика по переносу архитектуры современной нейронной
сети CenterNet в ПЛИС. Сеть CenterNet является одноэтапным (OneStage) детектором …