The recent explosive compute growth, mainly fueled by the boost of artificial intelligence (AI)
and deep neural networks (DNNs), is currently instigating the demand for a novel computing …

Abstract Recent advances in Deep Learning (DL) fueled the interest in developing
neuromorphic hardware accelerators that can improve the computational speed and energy …

The energy demanding nature of deep learning (DL) has fueled the immense attention for
neuromorphic architectures due to their ability to operate in a very high frequencies in a very …

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and
weight update Page 1 DDOS attack identification via a silicon photonic Deep Neural Network with …

The recent advances of Deep Learning (DL) have fueled the research of hardware
accelerators, which can signif-icantly improve the computation speed and energy efficiency …

The rapid adoption of IPv6 has increased network access scale while also escalating the
threat of Distributed Denial of Service (DDoS) attacks. By the time a DDoS attack is …

Due to the rapid development of network technology in recent years, network security has
drawn a lot of attention. Intrusion detection systems are crucial in preventing unwanted traffic …

Neuromorphic photonics is among the most promising approaches for Deep Learning (DL)
hardware accelerators with recent state-of-the-art mixed precision configurations lowering …

Port scanner attackers are typically used to identify weak points or vulnerabilities in an
organization's network. When attackers send a detective message to a port number, the …

Физические ограничения скорости работы электронных устройств заставляют искать
альтернативные способы обработки информации. Последние несколько лет …