Enterprise data masking tools help organizations protect sensitive data while still making it usable for testing, analytics, ...

Recent years have witnessed the unprecedented development of Industry 4.0 and the Industrial Internet of Things. These two technologies have significantly facilitated data collection from different ...

Abstract: This data paper documents and evaluates five publicly accessible workplace injury datasets: Occupational Safety and Health Administration (OSHA) Severe Injury Reports (SIR), OSHA Injury ...

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...

A methodological change contributed to a better-than-expected inflation report, prompting questions from some economists. By Ben Casselman An obscure methodological change lowered a key measure of ...

Elon Musk’s xAI has lost its bid for a preliminary injunction that would have temporarily blocked California from enforcing a law that requires AI firms to publicly share information about their ...

The Department of Government Efficiency (DOGE) open-sourced on Friday what it describes as the largest Medicaid dataset in the department's history, containing aggregated provider-level claims data ...

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

RealMan Intelligent Technology Co. announced the open-source release of RealSource, its high-quality, multi-modal robot dataset. The company said it designed this dataset to address the industry’s ...

This is potentially the world's largest spatial 3D dataset to date, aiming to provide a high-quality data foundation for researchers and developers in the field of spatial intelligence, and accelerate ...