Science

New research demonstrates how sparse autoencoders can create easily understood representations of text, offering powerful tools for data analysis.

A new method, DCFO, clarifies why data points are flagged as outliers by the Local Outlier Factor algorithm, addressing key limitations in existing explanation techniques.

Researchers have developed a method that prompts large language models to reason backwards from potential answers, revealing gaps in incomplete questions and improving problem-solving abilities.

A new framework combines dynamic neural networks and adversarial learning to dramatically improve intrusion detection in next-generation wireless systems.

Researchers have created a rigorous benchmark to evaluate how well AI can identify deepfakes and, crucially, explain why it made that determination.

Researchers are pioneering a system that seamlessly blends advertising into AI-generated text, moving beyond traditional ad placement.

A novel machine learning framework leverages the power of galaxy data to unlock accurate cosmological insights, even across different simulation types.

New research reveals how conspiratorial beliefs aren’t confined to echo chambers, but woven into everyday conversations on Singaporean Telegram groups.

New research reveals a significant performance drop-off when applying deep learning and large language models to detect vulnerabilities in real-world code.

New research shows that combining cognitive principles with agent-based systems yields more reliable long-form content than simply increasing model size.