Ireland’s data-protection watchdog, the DPC, said it is investigating X over concerns that the social-media platform could be breaching European Union privacy rules. “The DPC has been engaging with ...

Abstract: Domain generalization-based hyperspectral image classification methods have achieved promising results in recent years. However, these studies seldom consider the issue of small sample in ...

Terrestrial data centers are so 2025. We're taking our large-scale compute infrastructure into orbit, baby! Or at least, that's what Big Tech is yelling from the rooftops at the moment. It's quite a ...

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...

Abstract: Data augmentation effectively addresses the imbalanced-small sample data (ISSD) problem in hyperspectral image classification (HSIC). Although most methodologies extend features in the ...

Google is turning its vast public data trove into a goldmine for AI with the debut of the Data Commons Model Context Protocol (MCP) Server — enabling developers, data scientists, and AI agents to ...

Generative artificial intelligence enthusiasts are always on the lookout for brand-new AI models released for public testing ahead of their commercial launch, and in the past few weeks, they have ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

The Rubin Observatory's enormous datasets call for cloud computing, seven different "brokers" and, indeed, a butler of sorts. When you purchase through links on our site, we may earn an affiliate ...

John Peterson does not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and has disclosed no relevant affiliations beyond ...