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Fuzzy Quality

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 #6: Open testing platform
April 07, 202100:26:4221.75 MB

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
March 03, 202100:22:2727.05 MB

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
February 24, 202100:25:5327.05 MB

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.

Fuzzy Quality Episode #3: Experimental Behavioural Economics and AI
February 17, 202100:26:3521.36 MB

Fuzzy Quality Episode #3: Experimental Behavioural Economics and AI

Adam talks to Dr Christina Strobel

Fuzzy Quality Episode #2: Deep Reinforcement Learning for Black-Box Testing of Android Apps
February 10, 202100:18:1116.86 MB

Fuzzy Quality Episode #2: Deep Reinforcement Learning for Black-Box Testing of Android Apps

Adam talks to Andrea Romdhana about the ARES tool and his research on how DeepRL can be used to find crashes in Android Mobile Applications