EurekAlert!

FPSMix: Data augmentation strategy for point cloud classification

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 ...
Visual Studio Magazine

Convolutional Neural Networks for MNIST Data Using PyTorch

Dr. James McCaffrey of Microsoft Research details the "Hello World" of image classification: a convolutional neural network (CNN) applied to the MNIST digits dataset. The "Hello World" of image ...
Visual Studio Magazine

Preparing CIFAR Image Data for PyTorch

CIFAR-10 problems analyze crude 32 x 32 color images to predict which of 10 classes the image is. Here, Dr. James McCaffrey of Microsoft Research explains how to get the raw source CIFAR-10 data, ...
TechCrunch

Intuit’s Data Classification Challenge: Setting a New Standard for Data Security

In an era where sensitive data is a prime target for cyberattacks and compliance violations, effective data classification is the critical first step in safeguarding information. Recognizing the ...
TechCrunch

Freepik releases an ‘open’ AI image generator trained on licensed data

Freepik, the online graphic design platform, unveiled a new “open” AI image model on Tuesday that the company says was trained exclusively on commercially licensed, “safe-for-work” images. The model, ...