Science

New research reveals that current defenses are increasingly ineffective against sophisticated domain generation algorithms used in mobile spearphishing attacks.

Researchers have developed a graph-based model to better understand and evaluate how meaning evolves in text over time.

Researchers have developed a novel system that intelligently explores knowledge graphs to autonomously identify meaningful relationships and insights.

Researchers have developed a new framework that enables artificial intelligence to perform zero-shot graph reasoning, effectively tackling unseen data by intelligently filtering and refining the information it processes.

New research explores whether reinforcement learning can help speech deepfake detectors maintain accuracy when faced with previously unseen data.

A new analysis of US Senate hearings reveals how industry framing of artificial intelligence – emphasizing benefits and national competitiveness – may be limiting critical discussion of its potential harms.

As AI agents become increasingly complex, ensuring their reliability requires innovative testing methods that account for inherent non-determinism.

New research reveals how optimization algorithms in deep linear discriminant analysis subtly enforce geometric constraints, impacting model behavior.

New research reveals that large language models possess surprisingly accurate numerical prediction capabilities encoded within their internal states, bypassing the need for traditional text generation.

A new machine learning framework intelligently samples radio propagation paths, dramatically speeding up simulations while maintaining accuracy.