In the analysis of big data sets, the first step is usually the identification of "features" -- data points with particular predictive power or analytic utility. Choosing features usually requires ...

What if the next big leap in artificial intelligence was just a GitHub repository away? With AI evolving at breakneck speed, developers and innovators are constantly pushing boundaries, crafting tools ...

In a data-driven world, the ability to analyze and interpret information is critical. Harvard University’s Professional ...

Zerve, the agentic data workspace, today announced the launch of the Zerve Notebook, a major expansion of its platform that brings a familiar notebook interface into a fully agentic, collaborative, ...

In recent years, JupyterLab has rapidly become the tool of choice for data scientists, machine learning (ML) practitioners, and analysts worldwide. This powerful, web-based integrated development ...

Reading through pages and pages of financial documents, graphs and data can be a long and laborious task to pick out the next businesses that might make it big. However thanks to the explosion of ...

Overview: Open-source MATLAB libraries help you extend MATLAB’s core functionality with advanced tools for optimization, ...

To be successful, consortia need clear management, codes of conduct and participants who are committed to working for the common good, says ENCODE lead analysis coordinator Ewan Birney. The ENCODE ...