Abstract: Analog computing-in-memory accelerators promise ultra-low-power, on-device AI by reducing data transfer and energy usage. Yet inherent device variations and high energy consumption for ...

Abstract: Graph convolutional networks (GCNs) are emerging neural network models designed to process graph-structured data. Due to massively parallel computations using irregular data structures by ...

Customer relationship management (CRM) systems benefit businesses by automating tasks, centralizing customer data, improving collaboration, and providing insights for targeted email marketing. However ...

Currently, workflows in Dify execute without a way to pause and wait for user input. It would be very useful to have a component that can suspend the workflow and request input from the user before ...

QiMeng-GEMM is an innovative approach to automatically generate high-performance matrix multiplication (GEMM) code using LLMs. This codebase provides a comprehensive solution for efficiently computing ...