This article covers the four data annotation tools types and uses: computer vision, natural language processing, open-source, and freeware. Read on to learn more.

Researchers at the University of Pennsylvania and the Allen Institute for Artificial Intelligence have developed a groundbreaking tool that allows open-source AI systems to match or surpass the ...

The tool provides the data types needed for phylogenetic comparisons, functional annotations, binning of sequences, phylogenomic profiling, and metabolic reconstructions. “We are excited to see the ...

The open source framework provides the data and training recipe for building powerful computer-use agents that challenge proprietary systems.

Dataloop, a data annotation and labeling startup, has raised $33 million in a venture capital funding round.

LinkedIn has announced the open sourcing of OpenHouse – a management framework for data lakehouse. OpenHouse offers a control plane that gives users an interface with managed tables in open-source ...

The company has crossed $100 million in annual recurring revenue as enterprises clean up their data to train AI models.