The Data Exchange Podcast: Dan Geer and Andrew Burt on security and privacy in the age of machine learning and…
The State of Responsible AI
The Data Exchange Podcast: Rumman Chowdury on prevalent practices for building ethical and responsible AI.
Improving the robustness of natural language applications
The Data Exchange Podcast: Jack Morris on adversarial attacks, data augmentation, and adversarial training in NLP.
End-to-end deep learning models for speech applications
The Data Exchange Podcast: Yishay Carmiel on recent progress in speech technologies.
Securing machine learning applications
The Data Exchange Podcast: Ram Shankar on tools and best practices for building secure and trustworthy ML systems.
Testing Natural Language Models
The Data Exchange Podcast: Marco Ribeiro on why accuracy on benchmarks is not sufficient for evaluating NLP models.
Detecting Fake News
The Data Exchange Podcast: Xinyi Zhou on state-of-the-art detection strategies and future research directions.
The Computational Limits of Deep Learning
The Data Exchange Podcast: Neil Thompson on the computational demands, economic costs, and environmental impact of AI.
Making deep learning accessible
The Data Exchange Podcast: Piero Molino on opening up deep learning to non experts.
Building and deploying knowledge graphs
The Data Exchange Podcast: Mayank Kejriwal on the critical role knowledge graphs play in modern AI applications.