Simple statistical method predicts landslide risk more accurately than classic method

A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...

AI model forecasts severe thunderstorms 4 hours ahead with higher accuracy

In a critical advance for climate resilience, researchers from The Hong Kong University of Science and Technology (HKUST) have developed an AI model that can predict dangerous convective ...
AZoSensors on MSN

Machine-learning technique shown to reduce sensor drift in electronic noses

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
Tribune Content Agency on MSN

Ask the doctors: Thoughtful adoption of some AI systems can improve care

Dear Doctors: If it's true that, according to a 2024 study, there are some 200,000 deaths each year from medical errors in ...
IEEE

Step Size Adaptation for Accelerated Stochastic Momentum Algorithm Using SDE Modeling and Lyapunov Drift Minimization

Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.

Why Maths matters in an AI-powered world

Math didn’t just inspire AI; it breathed life into it. It is the invisible language that allows machines to see, translate, ...