Python project from Andrew Ng provides a streamlined approach to working with multiple LLM providers, addressing a significant pain point in the AI development workflow.

You could sift through websites, but some Python code and a little linear regression could make the job easier. ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is ...

As business leaders and data teams seek to navigate the complex vendor landscape for business intelligence (BI), Gartner’s ...

Aqarios' platform Luna v1.0 marks a major milestone in quantum optimization. This release significantly improves usability, ...

Researchers show how ChatGPT can generate code to control lab equipment, allowing scientists to automate experiments without ...

Context engineering—the art of shaping the data, metadata, and relationships that feed AI—may become the most critical ...

With zenon 15, COPA-DATA expands its support for HTML5-based web visualization, enabling fast and intuitive screens that work ...

Quantum infrastructure software is redefining quantum computing by automating calibration, optimizing workloads, and letting ...

Use the Python version of Google's agent development toolkit to quickly develop AI-powered agents with diverse workflows.