Detecting vulnerabilities and managing the associated patching is challenging even in a small-scale Linux environment. Scale things up and the challenge becomes almost unsurmountable. There are approaches that help, but these approaches are unevenly ...
Machine learning has been trotted out as a trend to watch for many years now. But there’s good reason to talk about it in the context of 2020. And that’s thanks to developments like TensorFlow.js: an end-to-end open source machine learning library that is capable of, among other features, running pre-trained AI directly in a web browser. Learn how true web machine learning is expected to foster AI creativity in an interesting The Next Web article:
So much of the discussion about cybersecurity's relationship with artificial intelligence and machine learning (AI/ML) revolves around how AI and ML can improve security product functionality. However, that is actually only one dimension of a much broader collision between cybersecurity and AI. Learn about the new risks and threats posed by increased use of artificial intelligence:
This was the year when, once and for all, it became clear that the future of technology belongs to Linux and open-source software. Get the details in an interesting ZDNet article:
