Abstract: Knowledge graph embedding is efficient method for reasoning over known facts and inferring missing links. Existing methods are mainly triplet-based or graph-based. Triplet-based approaches ...

As a service to our readers, we're providing the LTspice files used in Dr. Dyer's article on simulation of the 12AX7 and the K2-W vacuum-tube op amp. 1. The model for the K2-W is established as a ...

Run 🤗 Transformers directly in your browser, with no need for a server! Transformers.js is designed to be functionally equivalent to Hugging Face's transformers python library, meaning you can run ...

Abstract: Recent advancements in deep learning, particularly in Transformer architectures, have revolutionized tasks that require processing complex, highly-detailed data. One such task is low-light ...

In power distribution systems, three-phase transformer configuration directly impacts system reliability and load management. Understanding the trade-offs between Delta and Wye connections enables ...

Chris is a Senior News Writer for Collider. He can be found in an IMAX screen, with his eyes watering and his ears bleeding for his own pleasure. He joined the news team in 2022 and accidentally fell ...

Last year, China’s electricity network nearly faced a major disruption when fluctuating wind power in the northwest caused instability across the grid. To prevent similar situations in the future, ...