Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn ...

Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.

Large language models are routinely described in terms of their size, with figures like 7 billion or 70 billion parameters ...

Pi-Labs CEO Ankush Tiwari explains how Authentify detects deepfakes at scale, defends AI models, and why India must build ...

Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...

Access the comprehensive CBSE Class 11 Maths deleted syllabus for 2025-26. Find out which topics have been removed to ...

Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, ...

This study provides a useful application of computational modelling to examine how people with chronic pain learn under uncertainty, contributing to efforts to link pain with motivational processes.

In silico antibody accessibility analysis indicates that ectodomain epitopes are transiently exposed, while MPER epitopes are virtually always occluded in the pre-fusion trimer.

Introduction After the WHO prequalified the first vaccine against mpox, we aimed to identify the influence of vaccine ...