Ultra-low-latency data processing is central to high-frequency trading, where nanosecond-level delays define competitive advantage. To meet this demand, scientists have developed a scalable photonic ...

Abstract: Inspired by neuronal diversity in the biological neural system, a plethora of studies proposed to design novel types of artificial neurons and introduce neuronal diversity into artificial ...

Since their inception, artificial neural networks have relied on manually designed architectures and inductive biases to better adapt to data and tasks. With the rise of deep learning and the ...

Abstract: Machine learning (ML) based network attack traffic detection is an emerging security paradigm, which is capable of capturing various advanced network attacks according to the features of ...