Machine learning is an integral part of high-stakes decision-making in a broad swath of human-computer interactions. You ...

Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

In the current era of big data, the volume of information continues to grow at an unprecedented rate, giving rise to the crucial need for efficient ...

As companies rush to adopt new AI solutions, business leaders must understand the different types and how AI compares to ...

AI-based analytics form the most impactful pillar in the model, enabling digital twins to conduct pattern recognition, demand ...

An NYU team uses machine learning to analyze neural activity data and uncover how speech is produced. In a recent paper ...

Scientists have built a graphene-based device that can taste with near-human accuracy in a breakthrough that pushes artificial sensing closer to human ability. The system uses machine learning to ...

For the UK to realize its AI ambitions, both public and private sectors must prioritize building robust data foundations. Entity resolution, contextual intelligence, and graph analytics provide the ...

These findings highlight the trade-off between detection granularity and accuracy in IoT security implementations and suggest hierarchical classification approaches for resource-constrained ...

Researchers have developed a new machine learning algorithm that excels at interpreting optical spectra, potentially enabling faster and more precise medical diagnoses and sample analysis.

A vital issue faced by the distribution network is the occurrence of unintentional islanding. The failure to identify unintentional islanding results in significant implications for both the power ...