Where do AI systems lose confidence in your content? Discovery, selection, crawling, rendering, and indexing hold the answer.

What does it take to make a machine move in a way that people instantly recognize as natural? At Tesla, part of the answer has been a quiet, repetitive, and highly physical form of data work: humans ...

Stop Googling. The answer is staring you right in the face—you just have to read it.

In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and ...

Meta’s approach to user privacy is under renewed scrutiny following a Swedish report that employees of a Meta subcontractor ...

The work, known as data labeling, is how Meta trains its computer vision systems. Each frame reviewed helps improve the algorithms powering its augmented reality assistant.

The automatic detection of surface-level irregularities—defects or anomalies—in 3D data is of significant interest for ...

Subramaniam Vincent is director of journalism and media ethics at the Markkula Center for Applied Ethics at Santa Clara University. Views are his own. At the core of storytelling for news is sourcing ...

When we talk about artificial intelligence, most people immediately think of futuristic robots and self-driving cars. But here’s the truth I’ve learned over years of working with data and leading ...

mLLMCelltype is a multi-LLM consensus framework for automated cell type annotation in single-cell RNA sequencing (scRNA-seq) data. The framework integrates multiple large language models including ...