Episodes: 436
Frequency: Irregular
Rating: 4.5/5.0
Estimated listeners: 100 - 1,000
Listener location: USA
YouTube: 18.9k subscribers
Publicly listed emails
info@sei.cmu.edu
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Robert Edman - Quality Models, Testing, And Evaluation For Machine Learning Components
Rachel Brower-Sinning - Quality Models, Testing, And Evaluation For Machine Learning Components
John Robert - Large Language Models, Software Analysis, And Classified Environments
Ryan Karl - Using Large Language Models To Accelerate Software Analysis In Classified Environments
Timothy Morrow - Data Analytics, Situational Awareness, And Cyber Resilience
Why Accuracy Isn't Enough: A New Quality Model for Real-World ML Components
September 17, 2026
AI components, whether traditional machine learning or generative AI, are embedded in many present-day systems. However, despite advances in automation, infrastructure, and tooling for developing AI components, many do not leave the prototype stage or reach production because they fail to meet overall system quality expectations. In our latest podcast from the Carnegie Mellon University Software Engineering Institute, Rachel Brower-Sinning and Robert Edman, both machine learning scientists in...
Breaking Down Barriers: How LLMs Enable Software Analysis in Classified Environments
August 06, 2026
The recent explosion in large language model (LLM) technology has highlighted the challenges of using public generative artificial intelligence tools in classified environments, especially for software analysis. Currently, software analysis falls on the shoulders of static analysis tools and manual code review, which tend to provide limited technical depth and are often time-consuming in practice. In our latest podcast from the Carnegie Mellon University Software Engineering Institute (SEI), ...
Data-Driven Defense: Cyber Resilience in the Age of AI
July 31, 2026
Data breaches remind us of the importance of cyber resilience as an essential element of survivability and continuity of operations for all organizations, especially those operating mission-essential systems, high-value systems, and/or critical assets. Resilience is also critical to reducing the costs associated with security breaches as well as minimizing damage to mission-essential systems caused by adverse events. In our latest podcast from the Carnegie Mellon University Software Engineeri...
Voices of Innovation · Medium booking difficulty · 100 - 1,000 listeners
Stop the World · High booking difficulty · 100 - 1,000 listeners
Its publicly listed email is info@sei.cmu.edu. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.
The publicly listed email for Software Engineering Institute (SEI) Podcast Series: info@sei.cmu.edu.
Podseeker estimates Software Engineering Institute (SEI) Podcast Series reaches 100 to 1,000 listeners per episode. Only the publisher has exact numbers.
Software Engineering Institute (SEI) Podcast Series typically books working professionals with real expertise. Typical guest background: Senior researchers, technical directors, engineers, and domain leads with deep expertise in software engineering, cybersecurity, artificial intelligence, defense technology, or software acquisition. Common among recent guests: Applied research in software engineering, cybersecurity, artificial intelligence, or defense technology; Leadership of technical programs, research initiatives, or specialized engineering teams; Development of practical frameworks, tools, or methods for government and defense organizations. Recent guests include Robert Edman, Rachel Brower-Sinning, and John Robert.
High. It mostly books established leaders in its field.
Recent episodes cover Technology, Software Engineering, Cybersecurity, Artificial Intelligence, and Defense Technology. Pitch an idea tied to one of these topics and mention a recent episode.
Publicly listed emails
info@sei.cmu.edu
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