The global telecommunications landscape is characterized by unprecedented connectivity demands, fueled by a surge in mobile data traffic projected to reach staggering volumes in the coming years. Some ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...

After a historic year, one analyst believes Eagles RB Saquon Barkley could fall victim to touchdown regression in 2025. The ...

In 2024, an AI-based model created by Google correctly predicted Hurricane Beryl would make landfall in Texas while a top ...

Researchers in China conceived a new PV forecasting approach that integrates causal convolution, recurrent structures, ...

Utilities are confronting the challenges of integrating rapidly growing data center loads while ensuring grid reliability and ...

This paper employs a meta-regression analysis of 473 estimates from 15 studies to take stock of the empirical literature on Chinese aid effectiveness. After accommodating publication selection bias, ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

The aim of the following is to identify some of these forecasting challenges and discuss ... Data validation and bottom-up analysis Next, run a bottom-up validation. By looking at the market ...

The study explored the impact of four widely used smoothing techniques - rolling mean, exponentially weighted moving average (EWMA), Kalman filter, and seasonal-trend decomposition using Loess (STL) - ...

Accurate climate prediction, particularly precipitation forecasting, remains a cornerstone for agriculture, water resource management, and disaster ...

With ongoing global uncertainty—from pandemics and port closures to tariff shifts—now is the time to reassess your ...