Pilot projects are being explored to test a new way of classifying household income, including Net Disposable Income (NDI), ...

An artificial intelligence model capable of reading and interpreting animal behavior like language has been developed by ...

Most companies that have moved past ad hoc AI use eventually hit the same wall: a single policy document cannot govern a ...

Researcher Devashri Datta introduces AIVEX and SRIL, new approaches designed to bring context-aware risk analysis to software ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

Most companies have a lot of useful data in their procurement departments, but it's hard to find because it's all over the place. You have a lot of purchase orders, invoices, and records from ...

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, ...

As organizations evolve, traditional data classification—typically designed for regulatory, finance or customer data—is being stretched to accommodate employee data. While classification processes and ...

In the context of the rapid development of intelligent manufacturing, the stable operation of mechanical equipment is crucial for maintaining industrial production continuity and achieving economic ...

In today's digital world, cyber threats challenge governments, business, critical infrastructure, and individuals. As these threats grow more frequent and complex, organizations must enhance their ...

In a pioneering study, researchers from China Agricultural University have introduced ClimID-UDA, an unsupervised domain adaptation method that uses climate indicators to significantly improve crop ...