Background Joint analyses across multiple health datasets can increase statistical power and improve the generalisability of research findings. However, limitations on data sharing often prevent ...

A python interface to call out to Matlab(R). Original implementation by Max Jaderberg. His original repo of the project can be found here, but please note that the development of the two repositories ...

Data is a crucial part of investigative journalism: It helps journalists verify hypotheses, reveal hidden insights, follow the money, scale investigations, and add credibility to stories. The Pulitzer ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

There are many ways to write, compile, and debug your C/C++ code. One popular option is to use an IDE (Integrated Development Environment) which allows you to do all of those in one single program.

GitHub Copilot has pushed AI-assisted programming well beyond code generation and code chat, with new capabilities continuing to arrive at a rapid pace. In 2014, Microsoft Research released an ...

Large language models like GPT-4 and tools like GitHub Copilot can make good programmers more efficient and bad programmers more dangerous. Are you ready to dive in? When I wrote about GitHub Copilot ...

GUITk is a declarative framework for building nice-looking, cross-platform GUIs with tkinter inspired by SwiftUI. GUITk allows you to build complete GUI applications with a few lines of code. GUITk ...

Electroencephalography (EEG) is a relatively low-cost brain imaging modality that allows the collection of large quantities of data, and automated preprocessing methods are critically needed to ...

The generated database GDB17 enumerates 166.4 billion molecules up to 17 atoms of C, N, O, S and halogens following simple rules of chemical stability and synthetic feasibility. However, most ...

Intercomparisons of global land surface models (LSMs) suggest large uncertainties regarding magnitude and pattern of land-atmosphere energy fluxes 1,2, making it difficult to assess and close energy ...