Abstract: Data augmentation is a series of techniques that generate high-quality artificial data by manipulating existing data samples. By leveraging data augmentation techniques, AI models can ...

A lightweight, open-source Windows utility to fix intermittent audio dropouts caused by EDID (Extended Display Identification Data) handshake failures in multi-device chains (e.g., GPU → Monitor → ...

Abstract: Diffusion models are a powerful class of techniques in ML for generating realistic data, but they are highly prone to overfitting, especially with limited training data. While data ...

Developed to benchmark and explore the full capabilities of the Venice.ai API, the venice-ai Python package has evolved into a comprehensive client library for developers. This library provides ...

The number of street arrests in Utah by federal immigration authorities surged to 118 in September. Immigration attorneys report an increase in arrests during traffic stops and late night raids in ...