As organizations invest billions of dollars in artificial intelligence, most still struggle to translate those investments into measurable results. Researchers at Carnegie Mellon University’s Software ...

Using deep learning methods to study gene regulation has become popular, but designing accessible and customizable software for this purpose remains a challenge. This work introduces a computational ...

Deep learning techniques such as convolutional neural networks (CNN) have significantly increased the accuracy—and therefore the adoption rate—of embedded vision for embedded systems. Starting with ...

We developed ehrapy, an open-source Python software framework for the exploratory analysis of electronic health record data. Ehrapy handles various widely used data formats, preprocessing tasks such ...

The Internet of Things (IoT) is upon us and developers are tasked with getting M2M (machine-to-machine) connectivity working. Gateways and software frameworks provide a way to manage this ...

BSA | The Software Alliance has launched its Framework for Secure Software, which it says is aimed at filling one of the most “significant gaps” in cyber security policy. The framework is a ...

Component-based software helps you get a system working quickly, keep costs down, and reuse the most robust software from prior applications. This article presents methods for creating your own ...