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

SIMA 2, which can figure out how to solve problems inside virtual worlds, could lead to more general-purpose agents and ...

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 ...

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 ...

In the UK, there was a case where TGN1412, an immunotherapy under development, triggered a cytokine storm within hours of ...

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 ...

Overview Demand for diverse, high‑quality datasets is increasing rapidly as AI models scale.Leading firms now combine ...

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

Empowered by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), eNeural is redefining the landscape of edge AI ...