When it comes to statistics, we usually expect to be informed about what happens "on average." But sometimes the key ...

Every day, billions of people travel from their homes to work, schools, health care facilities, restaurants, public venues ...

Market expert David Li examines how Bayer's trade petition, supply chains, and phosphorus dynamics could alter competition, ...

Discover 2 elite dividend growth “money machines” yielding up to 8.5% for early retirement, with sustainable, ...

This paper identifies that using diffusion models for dataset distillation suffers from two types of distribution shifts: training-stage and sampling-stage shifts. It proposes a two-stage framework: ...

eInstitute of Medical Biostatistics, Epidemiology, and Informatics, University Medical Centre of Johannes Gutenberg University Mainz, Mainz, Germany fUniversity Cancer Center at University Medical ...

Probability underpins AI, cryptography and statistics. However, as the philosopher Bertrand Russell said, “Probability is the most important concept in modern science, especially as nobody has the ...

With increasing uncertainties on both the generation and load sides in power systems, ultra-short-term load forecasting (USTLF) and risk assessment have become crucial for ensuring the secure and ...

Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...

AI models produce skillful weather forecasts, including for some extreme events. However, forecasting the strongest events that are so rare they did not exist in the training set (the so-called gray ...

Existing image processing and target recognition algorithms have limitations in complex underwater environments and dynamic changes, making it difficult to ensure real-time and precision. Multiple ...