In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Celldetective is an open-source software integrating segmentation, tracking, and event detection to perform high-throughput end-to-end study of dynamic cell interactions, without requiring coding ...

Modern business intelligence demands speed, and utilizing AI tools for Excel is the ultimate way to hyper-charge your data workflows this year.

As artificial intelligence (AI) speeds up and simplifies technical tasks, the ability to think creatively and communicate visually will be the competitive edge that sets the next generation of data ...

Dataland, the First AI Museum, Converts Info Into a Multisensory Kaleidoscope ...

Scouring through corporate communications and broker research isn’t enough Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The ...

Organizations struggle to communicate the insights in all the information they’ve amassed. Here’s why, and how to fix it. by Scott Berinato Data science is growing up fast. Over the past five years ...

The Chart of the Week showcases a valuable metric: greenhouse gas emission intensities. The data reveals significant reductions in emission intensities within agricultural and industrial sectors.

Modern businesses run on data. Companies regularly capture, store and analyze large amounts of quantitative and qualitative data on consumer behavior, to which they can apply predictive analytics to ...