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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>SEI Blog | AI Engineering and Machine Learning</title><link>http://sei.cmu.edu/feeds/tag/</link><description>Updates on changes and additions to the                         SEI Blog for posts matching AI Engineering and Machine Learning</description><atom:link href="http://sei.cmu.edu/blog/feeds/tag/ai-engineering-and-machine-learning/atom/" rel="self"/><language>en-us</language><lastBuildDate>Mon, 10 Feb 2025 00:00:00 -0500</lastBuildDate><item><title>Cyber-Informed Machine Learning</title><link>https://www.sei.cmu.edu/blog/cyber-informed-machine-learning/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</link><description>This blog post proposes cyber-informed machine learning as a conceptual framework for emphasizing three types of explainability when ML is used for cybersecurity.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Jeffrey Mellon, Clarence Worrell</dc:creator><pubDate>Mon, 10 Feb 2025 00:00:00 -0500</pubDate><guid>https://www.sei.cmu.edu/blog/cyber-informed-machine-learning/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</guid><category>Cybersecurity</category><category>Machine Learning</category><category>Cybersecurity Engineering</category><category>AI Engineering and Machine Learning</category></item><item><title>The Top 10 Blog Posts of 2024</title><link>https://www.sei.cmu.edu/blog/the-top-10-blog-posts-of-2024/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</link><description>This post presents the top 10 most-visited posts of 2024, highlighting our work in software acquisition, artificial intelligence, large language models, secure coding, and more.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">Bill Scherlis</dc:creator><pubDate>Mon, 06 Jan 2025 00:00:00 -0500</pubDate><guid>https://www.sei.cmu.edu/blog/the-top-10-blog-posts-of-2024/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</guid><category>Secure Coding</category><category>Insider Threat</category><category>Artificial Intelligence Engineering</category><category>Machine Learning</category><category>AI Engineering and Machine Learning</category><category>Acquisition Transformation</category></item><item><title>Evaluating Static Analysis Alerts with LLMs</title><link>https://www.sei.cmu.edu/blog/evaluating-static-analysis-alerts-with-llms/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</link><description>LLMs show promising initial results in adjudicating static analysis alerts, offering possibilities for better vulnerability detection. This post discusses initial experiments using GPT-4 to evaluate static analysis alerts.</description><dc:creator xmlns:dc="http://purl.org/dc/elements/1.1/">William Klieber, Lori Flynn</dc:creator><pubDate>Mon, 07 Oct 2024 00:00:00 -0400</pubDate><guid>https://www.sei.cmu.edu/blog/evaluating-static-analysis-alerts-with-llms/?utm_source=blog&amp;utm_medium=rss&amp;utm_campaign=my_site_updates</guid><category>Static Analysis</category><category>AI Engineering and Machine Learning</category><category>Secure Coding</category></item></channel></rss>