Abstract: Software engineering automation remains constrained, with existing AI tools typically focusing on isolated tasks such as code generation, while still relying heavily on human intervention ...

Cybersecurity researchers have discovered two malicious packages in the Python Package Index (PyPI) repository that masquerade as spellcheckers but contain functionality to deliver a remote access ...

The North Korean threat actor known as Konni has been observed using PowerShell malware generated using artificial intelligence (AI) tools to target developers and engineering teams in the blockchain ...

Abstract: Semantic mapping aims to construct a 3D semantic representation of the environment, providing essential knowledge for robots operating in complex outdoor settings. While Bayesian Kernel ...

Microsoft rolls out Model Context Protocol support in Windows ML, providing tools to build agentic Windows applications that work with local and remote resources securely. One concern many users have ...

Microsoft announced .NET 10 at this week's .NET Conf 2025, calling it the most modern, secure, and performant version of the platform yet. The Long Term Support (LTS) release adds built-in AI ...

The excitement around generative AI has pushed large language models (LLMs) to the forefront of enterprise software development--but getting those models into production is where the real complexity ...

The core use case of this Proof of Concept (PoC) revolves around a banking personal assistant designed to revolutionize the way users interact with their bank account information, transaction history, ...

In this tutorial, we build an advanced AI agent using Semantic Kernel combined with Google’s Gemini free model, and we run it seamlessly on Google Colab. We start by wiring Semantic Kernel plugins as ...

Functions are the building blocks of Python programming. They let you organize your code, reduce repetition, and make your programs more readable and reusable. Whether you’re writing small scripts or ...