Adverse weather attenuates fine-grained target cues, disrupts cross-scale feature propagation, and weakens long-range contextual dependencies in UAV imagery, making the detection of small and ...

In the world of absorption chillers and heat pumps, a humble salt solution does the heavy lifting. Water and lithium bromide ...

Rice feeds more than half of humanity, yet the world’s paddies face a tightening squeeze: demand is projected to reach 650 ...

Introduction A few years ago, I was in charge of demand forecasting models at my company. Even though the accuracy was decent ...

Accurate determination of deformation parameters in heterogeneous alluvial foundations is critical for the safety and structural integrity of earth dams. The Ménard Pressuremeter Test (PMT) provides a ...

Researchers have developed an integrated machine learning framework that predicts four key properties of bio-based monomers ...

NVIDIA has released Kumo Tabular, an open foundation model that predicts classification and regression outcomes from labeled ...

Upstart's growth is highly sensitive to macroeconomic cycles, funding constraints, and customer acquisition costs. Read why ...

Researchers at The University of Manchester, Shandong Jiaotong University and Harbin Engineering University have developed a machine learning framework that enables rapid predictions of how protected ...

Urban heat islands are a solvable data problem: this piece shows how to combine free satellite imagery, standard ...

Physical inactivity is the single strongest predictor of obesity across US counties, according to a new AI-driven analysis explaining 78% of the variation in county-level obesity prevalence.

Combining multiple correlated models does not cancel out noise. Instead, multiple predictors that repeat nearly the same ...