Modern manufacturing operates in complex environments where traditional management approaches are no longer enough. This ...

A global study led by researchers at the School of Clinical Sciences at Monash Health, Monash University, has found that ...

In September 2024, Skywork first open-sourced the Skywork-Reward series models and related datasets. Over the past nine ...

In this TechRepublic exclusive, a COO states that successful AI initiatives must have the right unstructured data at the ...

The Training Data Project wins the ICEAA Best Paper Award for pioneering work on data labeling, showing how AI success begins with accurate, cost-effective, and accountable training data pipelines.

By decentralizing the data labeling process and aligning incentives across all participants, Sapien offers a smarter, more scalable alternative to traditional data collection pipelines.

Additionally, some companies are exploring the use of semi-automated and automated data labeling solutions that leverage AI algorithms to speed up the data labeling process.

In the field of machine learning and artificial intelligence, data labeling is a crucial step that directly affects the performance of algorithms. As the amount of data grows exponentially, the ...

Two years ago, the entire world spent an estimated $800 million on data labeling: the painstaking process of annotating images and other information to train machine-learning and AI models. Now ...