AI models are only as good as the data they're trained on. That data generally needs to be labeled, curated and organized before models can learn from it in an effective way. One ...

Along with the dataset, Encord has created a new methodology for training multimodal AI models. It’s called EBind, and the ...

That means someone tucking certain documents away inside training data could potentially manipulate how the LLM responds to ...

In the world of computing, open (be it software or hardware) is a curious and oft-abused word. Thrown around left, right and ...

The ViGen project has introduced an open Vietnamese pre-training dataset covering knowledge from preschool to university ...

Hospital laboratories play a central role in disease diagnosis, monitoring, and treatment outcomes. In general, laboratories ...

Construction crews have begun clearing brush and working on the road leading to the planned $165 billion Project Jupiter data ...

Meta’s integration shows how open networking meets AI acceleration, while Oracle’s adoption underscores the rise of mega AI ...

The tech giant’s use of the open-source Diversity in Faces dataset developed by IBM to address biometric algorithmic bias ...

Pocket Network, Sapien, and Intuition are pioneering decentralized, human-centric data infrastructure to solve AI’s ...

Oracle will deploy 50,000 AMD AI chips and launch a new open lakehouse platform, signaling a major push to rival NVIDIA in ...

After Google officially broke ground on a $4 billion data center in West Memphis earlier this month, we are learning more ...