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Using food to uncover AI's cultural blind spots
CISPA researcher Tejumade Àfọ̀njá has co-authored a new international study that uses food as a starting point to reveal ...
Learn how AI models will be affected by the recently released DPDP Rules (2025) in terms of collecting, training on and retaining data.
When AI models fail to meet expectations, the first instinct may be to blame the algorithm. But the real culprit is often the data—specifically, how it’s labeled. Better data annotation—more accurate, ...
The world runs on data, and businesses increasingly rely on it. However, traditional data sourcing methods often present challenges related to diversity, transparency, privacy, and cost. This article ...
FormAssembly Inc., a firm that helps organizations automate data collection through forms, today introduced a built-in agentic artificial intelligence assistant that it says can replace much of the ...
Artificial intelligence has an insatiable hunger for high-quality data, and there are real opportunities for anyone who's able to provide it in sufficient volumes. Companies like Alexandr Wang's ...
SerpApi provides real-time structured access to public search engine results. Founded in 2017 by Julien Khaleghy, the company ...
Overview Google has recently updated its policies on how apps and services use personal data, including Gmail emails, ...
AI research organization Eleuther AI has launched a massive text database, Common Pile v0.1, that can be used to train AI systems, according to Techcrunch. The 8TB database consists exclusively of ...
Endless data collection occurs in the neonatal intensive care unit (NICU) among physicians tasked with taking care of one of the most vulnerable populations: young babies. Researchers in the ...
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