Microsoft has launched a four-part developer series explaining how to build a CLI-style AI agent that can plan tasks, use tools, retain information, and ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Learn how iterative prompting, Python, and Google Colab helped turn a multilingual hreflang mapping project into a scalable workflow.

The power of Python trumps Excel workbooks.

This vibe coding cheat sheet explains how plain-language prompts can build apps fast, plus the planning, testing, and security checks needed.

We developed a Bayesian optimization method for composition-spread films. To implement this, we utilized a Python library PHYSBO (optimization tools for PHYSics based on Bayesian Optimization) 43. In ...

Evaluate the effectiveness of Microsoft’s Python Risk Identification Toolkit (PyRIT) for agentic AI red teaming. Address evolving autonomous AI system threats.

record.py - example of recording realtime data from selected channels. example_control_loop.py - example for controlling robot motion. Program moves robot between 2 setpoints. Copy ...

For more than two years, a new concept has been emerging called Agentic SEO. The idea is to perform SEO using agents based on language models (LLMs) that perform complex tasks autonomously or ...

The ckanapi command line interface lets you access local and remote CKAN instances for bulk operations and simple API actions. Use -r to specify the remote CKAN instance, and -a to provide an API KEY.