Complex network analysis of time series data transforms sequential observations of dynamic systems into networks whose nodes and links encapsulate underlying temporal and structural relationships. By ...

In my 20 years of experience, I've seen how data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret. This ...

Lium, a startup formerly known as Astromind, today announced the launch of an “agentic harness” that helps large language ...

The AI data industry will continue to reinvent itself, and the companies that take the lead will do so by building a ...

Large and Complex Data Theory encompasses the mathematical and algorithmic foundations for analysing datasets whose size, dimensionality and structural heterogeneity challenge classical statistical ...

AI has transformed the way companies work and interact with data. A few years ago, teams had to write SQL queries and code to extract useful information from large swathes of data. Today, all they ...

Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...

Data development platform Encord is going beyond business analysis to become "the world's only multimodal AI data development platform." To fine-tune an AI model, you need quality -- and sometimes ...

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses machine learning to gain meaningful insights from complex biological data.

If you love nothing more than good data visualization, Google's latest Sheets update will be right up your alley. The company has begun rolling out an upgrade to the app's Gemini side panel, a feature ...

Overview Excel remains a core tool for data analysts, and a small set of functions can handle most tasks related to lookups, ...