Tonic Textual’s new Custom Entity Types let teams define, train, and deploy entity models on their own data—no data science skills needed.

Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data ...

New data classification feature transforms how enterprises build high-quality training data, delivering up to 80% faster ...

Local AI models offer privacy and zero subscription costs, letting you run powerful models completely offline. Here's how to start.

This year, three major studies have examined the human behavioral side of AI. OpenAI’s usage report, Anthropic’s Economic ...

Companies that adapt early will unlock richer insights, better customer experiences and powerful new capabilities.

Hospitals do not always have the opportunity to collect data in tidy, uniform batches. A clinic may have a handful of carefully labeled images from one scanner while holding thousands of unlabeled ...

To overcome two challenges in training AI – scarce or hard-to-get data and data privacy – researchers have come up with a ...

Complex digital images of tissue samples that can take an experienced pathologist up to 20 minutes to annotate could be ...

The second approach uses generative AI to produce data. Modern generative models are trained on vast amounts of data and can ...

Computer vision models are based on image datasets that have historically been collected with little concern about ethics or ...