Just as people from different countries speak different languages, AI models also create various internal "languages"—a ...

The rise of FML allows systems to become progressively more intelligent and autonomous by using on-device data and sharing only encrypted model updates.

Traditional security measures like firewalls and encryption are often inadequate due to the dynamic and resource-constrained nature of IoT/IIoT networks. While Machine Learning (ML) has emerged as a ...

Microsoft is offering free of charge to European governments a cybersecurity programme, launched on Wednesday, to bolster their defences against cyber threats, including those enhanced by ...

In fact, open-source collaboration helps industries rapidly identify vulnerabilities, quickly deploy security patches, and benefit from collective expertise across diverse sectors. Additionally, ...

Contributor Content In 2025, integrating artificial intelligence (AI) and machine learning (ML) into cybersecurity is no longer a futuristic ideal but a functional reality. As cyberattacks grow ...

A new campaign exploiting machine learning (ML) models via the Python Package Index (PyPI) has been observed by cybersecurity researchers. ReversingLabs said threat actors are using the Pickle file ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...

Engineers and computer experts are constantly learning more about the Internet of Things (IoT). The coming decades will likely introduce millions more sensor-based devices into networks. These attack ...