Abstract: Neural-network-driven (NN-driven) network functions and their implementation on the data plane are emerging topics due to demonstrated accuracy and high performance. Meanwhile, we argue that ...

This documentary could be better, but it offers a helpful lesson for film fans new to the movies of that decade. By Alissa Wilkinson When you purchase a ticket for an independently reviewed film ...

Chameleon adaptive analog modules from Okika provide preprogrammed, ready-to-use analog functions in a compact 14×11-mm form factor. Each module employs the company’s FlexAnalog field-programmable ...

Meta has introduced KernelLLM, an 8-billion-parameter language model fine-tuned from Llama 3.1 Instruct, aimed at automating the translation of PyTorch modules into efficient Triton GPU kernels. This ...

Abstract: This paper presents a novel perceptual loss function designed for evaluating audio and music quality, implemented in PyTorch and available via GitHub and Google Colab. The loss function ...

Nobody likes carrying any more gear than necessary when camping ... even if they're just "car camping." Lovork's new Modular Camping Lantern is designed with that fact in mind, as it packs eight ...

The hippocampus is essential for learning and memory. Over the last decades, predictions have been developed for how the CA3 module could execute such processes. However, at the synaptic level, ...

The purpose of this style guide is to provide guidance for writing torch.nn module documentation. It is purposefully strongly opinionated to keep documentation across modules consistent and readable.