This article compares different alternative techniques to prepare data, including extract-transform-load (ETL) batch processing, streaming ingestion and data wrangling. The article also discusses ...

Machine learning models—especially large-scale ones like GPT, BERT, or DALL·E—are trained using enormous volumes of data.

Malicious actors can use this image-scaling technique as a launchpad for adversarial attacks against machine learning models, the artificial intelligence algorithms used in computer vision tasks ...

The machine learning technique in question works in a similar way to most upsampling methods — inserting new pixels into low-resolution images to make up for lost detail.

This essay on the lessons we learned about deep learning systems and gender recognition is one part of a three-part examination of issues relating to machine vision technology.

Machine learning defined Machine learning is a branch of artificial intelligence that includes methods, or algorithms, for automatically creating models from data.

In their study, Gambini and her colleagues looked to machine-learning algorithms, systems that learn to perform tasks by processing training data. In this case, the team explored whether machine ...

But while classic adversarial attacks exploit peculiarities in the inner workings of the AI algorithm, image-scaling attacks focus on the preprocessing stage of the machine learning pipeline (we ...