Deep neural networks (DNNs) have achieved unprecedented success in the field of artificial
intelligence (AI), including computer vision, natural language processing, and speech …

In this paper, we provide a deep dive into the deployment of inference accelerators at
Facebook. Many of our ML workloads have unique characteristics, such as sparse memory …

Currently, a large number of power electronic (PE) devices are integrated into distribution
power systems. Using traditional digital simulation software and hardware offline testing …

In this work, to limit the number of required attention inference hops in memory-augmented
neural networks, we propose an online adaptive approach called-memory-augmented …

The continuous progress of modern science and technology has led to comprehensive
innovations in education, and the use of information technology for teaching has become the …