Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

The findings of a newly released study have challenged one-size-fits-all rules and blanket bans, as the Australian government ...

Application of orthogonal CNOP-I in a convection-allowing ensemble prediction system based on CMA-MESO for improving extreme ...

Extreme summer precipitation events in China have grown increasingly frequent and intense, posing severe threats to human life, property, and ...

FICO Xpress 9.8 features a GPU-accelerated implementation of the hybrid gradient algorithm, yielding up to 50x speedups for very large optimization problems FICO Xpress Optimization has the widest ...

We might be witnessing the start of a new computing era where AI, cloud and quantum begin to converge in ways that redefine ...

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

Classics like The Best Years of Our Lives and modern gems like Dunkirk are among the best movies made about World War II over ...

For much of modern history, mathematics has worked in silence. It does not stage revolutions with dramatic announcements, nor ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

A new research paper shows the approach performs significantly better than the random-walk forecasting method.