Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand ...

BOSTON--(BUSINESS WIRE)--908 Devices Inc., (Nasdaq: MASS), a pioneer of purpose-built handheld and desktop devices for chemical and biochemical analysis, announced the release of a data analysis tool ...

Fig. 1. Strain field of an in-situ test using a novel SMC material. The arising cracks are clearly visible and can be associated with the microstructure characterization, which can be carried out ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

The OmicsSuite native innovation framework architecture and the integration of the Posit Shiny framework. The yellow arrows show logical steps, while the blue arrows indicate datasets inputs and ...

With the advent of the exascale supercomputing era, computational scientists can run simulations at higher resolutions, add more detailed physical phenomena, increase the size of the physical problems ...

Topological data analysis (TDA) is a methodology designed to study qualitative properties (shapes) of data using topological, statistical, and computational ideas. This topological framework has ...

The Air Force Cost Analysis Agency (AFCAA) offers multiple examples of data visualization tools being actively used for cost analysis, including the Air Force Total Ownership Cost (AFTOC) program ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...