Fuzzy Quality
Fuzzy Quality is hosted by Adam Leon Smith. In this podcast we talk to industry practitioners and researchers exploring the complex and emerging world of verification and validation of AI-based systems. We also explore how AI can itself be used in the testing of conventional software.
Fuzzy Quality Episode #8: Testing Intelligent Vision Systems
Adam talks to Dr Joanna Olszewska about testing intelligent visions systems and the testing methodology used in her research.
Fuzzy Quality Episode #7: Evaluating the Robustness of Collaborative Agents
Adam talks to Micah Carroll about testing the robustness of collaborative agents.
Fuzzy Quality Episode #6: Open testing platform
Adam talks to Wayne Ariola about his open testing platform concept.
Fuzzy Quality Episode #5: Gartner Report on AI predictions
Adam talks to Olivier Blais about Gartner's latest predictions for AI.
Fuzzy Quality Episode #4: Smoke Testing Machine Learning
Adam talks to Steffen Herbold and Tobias Haar about smoke testing machine learning. In particular, discussing defects they have found applying boundary value analysis and equivalence partitioning.