With the Embabel agent framework, written in Kotlin, Rod Johnson aims not only to catch up with Python agent frameworks, but ...

For developers and AI practitioners, this question isn’t just hypothetical—it’s a critical challenge. The risks of executing untrusted Python code range from introducing vulnerabilities to ...

Model Context Protocol, Agent2Agent protocol, and Agent Communication Protocol take slightly different approaches to AI agent ...

Apple on Monday introduced a broad set of developer-focused software tools aimed at enhancing the integration of artificial ...

By offering transparent tooling and clear implementation examples, OpenAI is pushing agentic systems out of the lab and into ...

The framework, designed with input from clinical subject matter experts across multiple specialties, evaluates AI-generated responses along five critical dimensions: query comprehension ...

A new study presents a hybrid Transformer-LSTM model that improves the detection of AI-generated text by analyzing semantic similarity for enhanced content verification. At the core of the framework ...

In this write-up, we will explore several of the most prominent Python libraries utilized in machine learning and AI. NumPy is widely regarded as the best Python library for machine learning and AI.