There is a common misconception that AI applications can be sufficiently tested and derisked by running a pilot in a ...

TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP. If you're looking for information about TextAttack's menagerie of pre-trained models, you might ...

The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...

Data Descriptors, Scientific Data's primary article type, describe datasets. These must be made available to editors and referees at the time of submission and be shared with the scientific community ...

This guide was reviewed by a Business News Daily editor to ensure it provides comprehensive and accurate information to aid your buying decision. Modern businesses run on data. Companies regularly ...

Doug Wintemute is a staff writer for Forbes Advisor. After completing his master’s in English at York University, he began his writing career in the higher education space. Over the past decade, Doug ...

Abstract: The success of deep learning heavily relies on the large amount of training samples. However, in scientific visualization, due to the high computational cost, only few data are available ...

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 ...

Russian billionaire Potanin acquires minority stake in cloud provider Selectel A joint venture controlled by Russian billionaire Vladimir Potanin has acquired a 25% stake in IT infrastructure provider ...

Abstract: Taking images on a digital display may cause a visually-annoying optical effect, called moiré, which degrades image visual quality. In this paper, we propose an Image Demoiréing Multi-scale ...