In the booming era of AI and blockchain, the question is no longer “What result does AI produce?” but rather “How can we ...

MNEs are increasingly using algorithmic tools in TP. Sahasranshu Dash argues that data ethics should therefore plug directly ...

This system takes an unstructured text document, and uses an LLM of your choice to extract knowledge in the form of Subject-Predicate-Object (SPO) triplets, and visualizes the relationships as an ...

A substation knowledge graph intelligent Q&A algorithm based on deep learning was designed to provide users with more effective self-service Q&A services. The algorithm first performs power ...

LeetCode is super important for coding interviews because lots of big tech companies use its style of problems. Getting good ...

The design of methods for inference from time sequences has traditionally relied on statistical models that describe the relation between a latent desired sequence and the observed one. A broad family ...

Books for Data Structures and Algorithms This book will form your foundation for computer science. Just choose one, in a language that you will be comfortable with. You'll be doing a lot of reading ...

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...