Fake Alibaba Labs AI SDKs hosted on PyPI included PyTorch models with infostealer code inside. With support for detecting malicious code inside ML models lacking, expect the technique to spread.

While some business leaders buy large language models, others build their own. Here are five things you need to know.

Discover the most in-demand tech skills for 2025—from AI and Python to cloud computing and cybersecurity. Stay ahead with ...

Myrtle.ai, a recognized leader in accelerating machine learning inference, today released support for its VOLLO® inference ...

Artificial Intelligence (AI) is no longer the future—it’s already shaping the world we live in. From search engines to online ...

IT researchers have discovered maliciously manipulated machine learning models in the repositories of Hugging Face. The specific ML models found have opened a reverse shell on infected systems ...

A crafted inference request in Triton’s Python backend can trigger a cascading attack, giving remote attackers control over ...

Python's simplicity, readability, and extensive libraries make it the perfect tool for building AI applications. In addition, Python allows easy scaling of large machine learning models.

Also, Python's versatility makes it useful for automating workflows, handling large datasets and integrating AI and ML models into clinical research.