For the past two decades, distributed caches, also known as in-memory data grids, have been used to address such challenges. By keeping fast-changing data in memory and distributing it in a cluster of ...
Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...
Crystal structure prediction (CSP) of organic molecules is a critical task, especially in pharmaceuticals and materials ...
Preparing data for AI is the first use case for AI, as automating the discovery and classification of data, along with ...
In the AI era, SaaS companies face a new reality, where the unit of value is no longer a user or seat. It’s now dynamic, distributed, and measured in actions (not access) ...
JSONC is one attempt, of many, to improve JSON. Other formats that try to do something similar include YAML and JSON5. Each ...
The brain’s function and integrity emerge not only from properties of individual regions, but, more fundamentally, from the intricate web of connections ...
7 newer data science tools you should be using with Python Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. The ...