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.
Financial Time Series Forecasting with Deep Learning
The Data Exchange Podcast: Murat Özbayoğlu on applications of deep learning to investing and asset management.
A programming language for scientific machine learning and differentiable programming
The Data Exchange Podcast: Viral Shah on the evolution and maturation of Julia.
Using machine learning to modernize medical triage and monitoring systems
The Data Exchange Podcast: Kira Radinsky on clinical triage, epidemiological maps, and predictive AI tools.
Connecting Reinforcement Learning to Simulation Software
The Data Exchange Podcast: Max Pumperla on why he’s bullish on Tune, training data scientists, and contributing to open source.
Using machine learning to detect shifts in government policy
The Data Exchange Podcast: Weifeng Zhong on bringing NLP and machine learning to economic policy studies.