Currently, deep learning is the most important technique for solving many complex machine vision problems. State-of-the-art deep learning models typically contain a very large number of parameters ...

The task of point cloud classification suffers from the problem of insufficient data, and data augmentation is an effective method to alleviate this problem. However, the effect of conventional ...

When assessing your data storage, you're likely choosing between data reduction and smart auto-tiering. Here's a breakdown of the two ...

The rapid development of artificial intelligence (AI) technology has become a cornerstone of multidisciplinary research worldwide, establishing a new paradigm of "AI for Science." AI is progressively ...

“In the electronics industry, introducing Machine Learning (ML)-based techniques can enhance Technology Computer-Aided Design (TCAD) methods. However, the performance of ML models is highly dependent ...

Application of integrated artificial intelligence systems (IAIs) for the identification and study of prognostic and predictive variables of patients with localized rectal cancer treated at HM ...