Linear mixed models are increasingly used for the analysis of genome-wide association studies (GWAS) of binary phenotypes because they can efficiently and robustly account for population ...

Linear algebra is essential for understanding core data science concepts like machine learning, neural networks, and data transformations.D ...

A research team from the Ningbo Institute of Materials Technology and Engineering (NIMTE) of the Chinese Academy of Sciences has developed a new method to enhance the efficiency of dynamics modeling ...

Explore the fundamentals of the Finite Element Method (FEM), one of the most powerful computational tools used in engineering analysis. This introductory video breaks down the core concepts behind FEM ...

Karmeshu, V. P. Jain, Non-Linear Models of Social Systems, Economic and Political Weekly, Vol. 38, No. 35 (Aug. 30 - Sep. 5, 2003), ... Conventional linear approach is too simplistic a framework to ...

Based on the CS-2, MemoryX and SwarmX, the Cerebras Wafer-Scale Cluster is the only cluster in AI compute that enables strict linear scaling of models with billions, tens of billions, hundreds of ...

Modeling a railroad is hard. Railroads are large, linear pieces of civil engineering. So many modelers are drawn to the smallest scale they can use. Recently a new scale, named T, at 1:450 has been… ...