This repository contains the implementation of topological data analysis (TDA) methods for detecting adversarial examples in deep learning models, particularly focusing on Vision-Language models like ...

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 ...

Pre-market futures are up this morning, though by slimmer margins upon a bevy of economic data hitting the tape. The Nasdaq, nearing all-time highs as of Wednesday’s close (and getting there on the ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...

But the effects of the levies, which have created uncertainty for businesses, have not yet been fully felt. By Talmon Joseph Smith The labor market remained sound in March, with job openings declining ...

ABSTRACT: This paper focuses on the use of YOLOv12 for the early detection of Sexually Transmitted Infections, which are a global public health challenge. YOLOv12 is a deep-learning model released on ...

In today’s data-driven world, data entry skills are more valuable than ever. Most data entry roles require a high school diploma or GED, making them accessible to a wide range of job seekers. Whether ...

During the model training process (I am referring to the process that includes generating synthetic data and involves backpropagation), when preprocessing features, the training samples are used to ...