Poor data governance can lead to a myriad of issues that include data interpretation inconsistencies, security ...

Merit is making its Scholars program widely available. It's a team of experts to fine-tune generative AI models for ...

In the representation of medical data, for example, n disease-related features (such as genetic loci, symptom indicators, etc.) can be encoded as n quantum bits, and the values of αx α x can be ...

The functional requirements of fiduciary relations can be used as both a framework to understand the value of data (as representations) in context and the characteristic requirements for data ...

Data analysts have identified suspicious voting patterns known as the "Russian tail" in Georgia's 2024 parliamentary elections. The anomalies mirror patterns seen in manipulated elections.

Microsoft partners with Be My Eyes to enhance AI inclusivity for the blind and low vision community. This collaboration aims to improve AI accuracy and reduce bias by incorporating high-quality, ...

And that’s dangerous. For example, during the COVID-19 pandemic, members of the Filipino community were dying at disproportionately high rates.

Quantization is a process that simplifies data representation by reducing precision. Learn the full quantization meaning here.