OpenAI is now turning its Daybreak initiative into a defensive cybersecurity program that combines Codex updates, the GPT-5.5-Cyber release and partner access for approved organizations. As OpenAI ...

OpenAI is rolling out the full, limited-release version of GPT-5.5-Cyber—a specialized AI model that outperforms its ...

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...

Neuroscientific theories hypothesize that arousal fluctuations influence human perception and behavior in two functionally distinct ways: through variations in baseline state (tonic arousal) and by ...

Coherence in speech is clinically significant in mental disorders but remains difficult to quantify. We tested the widely-held assumption that semantic similarity metrics derived from large language ...

Two-way fixed effects (TWFE) estimation is the dominant approach for causal inference with panel data. However, recent research shows that standard TWFE can produce biased estimates when treatment ...

This study provides important insights into the evolution of pesticide resistance, demonstrating that resistance can arise rapidly and repeatedly, which complements prior work on parallel evolution ...

Diffusion-weighted magnetic resonance imaging is essential for diagnosing ischemic stroke and identifying targets for emergency revascularization. Apparent diffusion coefficient (ADC) maps derived ...

Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause economic ...

In statistics and machine learning, ordinal regression is a variant of regression models that normally gets utilized when the data has an ordinal variable. Ordinal variable means a type of variable ...