Gender equality was supposed to reduce gender stratification and segregation in academic and professional pursuits. Instead, ...

Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...

AI Cloud 3.1 adds Nvidia Blackwell plus governance tools; catalysts include adoption and Feb 18 earnings. Read more analysis ...

A strong data governance foundation is essential for higher education institutions to deploy trustworthy, effective ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

Abstract: In today’s technological landscape, data has become a cornerstone for numerous applications, witnessing exponential growth driven by the advent of sophisticated devices capable of generating ...

This isn't really an issue (discussions are disabled) and it isn't exactly related to the Device model group, but since you, the Smart Data Model maintainers, have a lot of experience with JSON-LD and ...

Personally identifiable information has been found in DataComp CommonPool, one of the largest open-source data sets used to train image generation models. Millions of images of passports, credit cards ...

Abstract: This survey reviews how large language models (LLMs) are transforming synthetic training data generation in both natural language and code domains. By producing artificial but task-relevant ...

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, ...

Wrapping up a multi-week series on Crafting Data Personas. What are they, why are they important, and how to get started. Continuing from last week, we’re diving right into examples of personas. I ...