Corporate managers will never be able to make good, informed decisions based solely on data. But — if formatted properly to provide knowledge and insight — data can facilitate complex business ...

The typical all-source intelligence analyst must generate products that result from the fusion and correlation of structured and unstructured text reporting with sensor and imagery data sources. This ...

On this second episode of Ropes & Gray’s Insights Lab’s four-part Multidimensional Data Reversion podcast series, Shannon Capone Kirk, managing principal and global head of Ropes & Gray’s advanced ...

The authors of the article, world-famous scientists of Russian origin, including the chief researcher at the laboratory for advanced methods of multidimensional data analysis at Lobachevsky University ...

Dimensional Analysis (DA) is a widely used methodology in physics and engineering. The main idea of DA is to extract dimensionless variables based on physical dimensions. Due to its capability in ...

We propose a semiparametric method for conducting scale-invariant sparse principal component analysis (PCA) on high-dimensional non-Gaussian data. Compared with sparse PCA, our method has a weaker ...

LONDON--(BUSINESS WIRE)--According to Quantzig, business leaders are always on the lookout for intelligent techniques and methods to better visualize data. As machines are getting smarter, business ...

(A) Spatial relationships between gene expression and sex-specific functional connectivity abnormalities in MDD. (B) Association between MDD-related functional gradient alterations and gene expression ...

Haims Capital Empowering Value Through Intelligence — Restoring Rationality and Foresight to Investment. In an era define ...