Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

Leaders must manage trade-offs carefully. Poorly managed APIs can lead to over-automation, which increases errors at scale.

W3C proposal backed by Google and Microsoft allows developers to expose client-side JavaScript tools to AI agents, enabling ...

Plotly Cloud adds team collaboration for publishing and sharing Dash apps, with enterprise security, centralized access ...

This framework provides a comprehensive set of tools and utilities for implementing and experimenting with Extreme Learning Machines using Python and TensorFlow. ELMs are a type of machine learning ...

Why write ten lines of code when one will do? From magic variable swaps to high-speed data counting, these Python snippets will transform your code.

Familiarity with basic networking concepts, configurations, and Python is helpful, but no prior AI or advanced programming ...

Firm strengthens engineering resources to support private LLM deployments, AI automation, and enterprise data pipelinesSeattle-Tacoma, WA, ...

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing ...

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

I used ChatGPT to build a Moltbot and get accepted onto Moltbook. Here’s a step-by-step look at what I did, what went wrong, ...