Single-cell analysis is reshaping drug discovery, but interpretation remains slow. AI single cell approaches may close the ...

In the first part, we discussed how robots evolve from basic mechanics to understanding their environment. At the “last mile” ...

Robotics programs require egocentric, multi-sensor training data at a scale that is growing exponentially, creating a procurement challenge distinct from any prior AI development cycle  Annotation ...

A newly annotated fingerprint dataset combined with open-source software could help forensic examiners work more consistently ...

Annotation automation fails in safety-critical edge cases where human judgment is the only reliable signal While autonomous vehicle programs have matured through standardized sensor configurations and ...

By Henrik Hansson, co-founder, Vesence. Too much of the discussion about AI in legal still assumes a choice between fixed ...

With its new funding, commerce data platform Chord plans to help brands access their data more easily by unifying it within ...

Learn how advanced data labelling is enabling the future of computer vision. Discover how outsourcing data annotation ...

On March 19, 2026, Slator published the Slator Data-for-AI Market Report, a 160-page report that analyzes the emerging global market for the data used to train, adapt, align, test, evaluate, and ...

China and Malaysia Jointly Designated Data Annotation and Corpus Training Base, Setting a New Benchmark for ...

Digital recorders and data management software ease recordkeeping and regulatory compliance — compared to traditional ...

HKU researchers developed MorphoGenie, an interpretable AI that analyzes cell images to uncover subtle biological patterns.