In this regard, Microsoft Research Asia has proposed a novel paradigm for organizing text data called DELT (Data Efficacy in ...

The core of big data models lies in the synergy of algorithm innovation, computational power support, and data governance to ...

Better data annotation—more accurate, detailed or contextually rich—can drastically improve an AI system’s performance, adaptability and fairness.

The process of de-identifying test databases can be approached in a variety of ways, and we’re often asked how our approach differs as compared to others. In this article, we’ll explore how our ...

Poisoned training data is therefore particularly data that contains false information. Of course, AI providers are interested in using the best possible training data for their models.

A team of computer scientists at UC Riverside has developed a method to erase private and copyrighted data from artificial ...

ACORD, the global standards-setting body for the insurance sector, has released a new model aimed at enhancing the standardisation and exchange of data across the industry's enterprise systems. The ...

The private equity secondaries market has reached an inflection point where policy considerations can no longer be treated as ...