The demo data is synthetic. It was generated by a 5-10-1 neural network with random weights and bias values. The idea here is that the synthetic data does have an underlying, but complex, non-linear ...

Researchers at Paul Scherrer Institute PSI have demonstrated an innovative method to control magnetism in materials using an ...

Previous methods struggle to incorporate real-time data or account for nonlinear interactions among macroeconomic variables.

Researchers at Paul Scherrer Institute PSI have demonstrated an innovative method to control magnetism in materials using an energy-efficient electric field. The discovery focuses on materials known ...

Visibility in AI search isn’t just marketing. It’s infrastructure, finance, and strategy. Here’s how enterprise leaders can ...

A study by Professor Yinhua Huang’s team at China Agricultural University has for the first time constructed a “graph-based pan-genome” for chickens, ...

From predictive healthcare to personalized finance and risk-aware insurance—see how data innovation is reshaping these ...

A new study using high-resolution EEG reveals that psilocybin dramatically alters brain connectivity in rats. The psychedelic ...

To address non-linear or non-Gaussian data in PCA and factor analysis, techniques such as kernel PCA or robust factor analysis methods are employed.

Addressing protein aggregation, product stability, supply chains, and regulations requires multiple tools, including ...