Different projects require different workflows. In data annotation platforms, flexible workflows help manage quality, speed, and complexity. Rigid workflows can lead to delays and errors, especially ...
Heartex, a startup that bills itself as an "open source" platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. Unusual Ventures, ...
Dublin, Nov. 26, 2025 (GLOBE NEWSWIRE) -- The "Healthcare Data Collection & Labeling Market - Global Forecast 2025-2032" report has been added to ResearchAndMarkets.com's offering. The Healthcare Data ...
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Data Labeling Is the Hot New Thing in AI
Earlier this summer Meta made a US $14.3 billion bet on a company most people had never heard of before: Scale AI. The deal, which gave Meta a 49 percent stake, sent Meta’s competitors—including ...
Data labeling software is crucial in developing artificial intelligence (AI) systems. It is designed to label and annotate data in a consistent and standardized manner, just like in a commonly known ...
Simple data labeling is becoming obsolete as AI models require more complex training data, says Turing's CEO. AI training companies need to be a "proactive research partner" for major labs, Jonathan ...
The ride-hailing giant, which unveiled a data-labeling platform late last year, thinks it can out-muscle the smaller rivals jockeying for position after Scale’s tie-up with Meta. Last week, Scale AI’s ...
Unbiased data-independent acquisition (DIA) strategies have gained increased popularity in the field of quantitative proteomics. The integration of ion mobility separation (IMS) into DIA workflows ...
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