In a world where data are extracted from individuals with or without informed consent, data and AI experts have called for building awareness and underscored the importance of extracting only relevant ...

Labeling adversary activity with ATT&CK techniques is a tried-and-true method for classifying behavior. But it rarely tells defenders how those behaviors are executed in real environments. To do that, ...

Abstract: The web plays a crucial role in our daily life. Its openness allows users to access data around the clock. Recently, data has become more exploitable by machines due to the newly introduced ...

For decades, neuroscientists have developed mathematical frameworks to explain how brain activity drives behaviour in predictable, repetitive scenarios, such as while playing a game. These algorithms ...

The rise of artificial intelligence (AI) and other technologies has driven the “surging” growth of data centres in China, with associated increases in energy demand and emissions. There were 449 data ...

A key challenge, and opportunity, of large language models (LLMs) is bridging the gap between their training data and the vast amount of unfamiliar information they encounter in real-world ...