Issue #58
July 5, 2020
- 1. What is a Convolutional Neural Network? [poloclub.github.io]
- 2. The Art of AI: An interview with Kai-Fu Lee [news.cgtn.com]
- 3. Counterfactual Theories of Causation [plato.stanford.edu]
- 4. Neurons that fire together, wire together… Ok, but how? [dissociativediaries.com]
- 5. Democratizing Kaplan-Meier [medium.com/harrys-engineering]
- 6. Why Statistics Don't Capture The Full Extent Of The Systemic Bias In Policing [fivethirtyeight.com]
- 7. The Tricky Math of Herd Immunity for COVID-19 [quantamagazine.org]
- • Measuring social response to different journalistic techniques on Facebook (A. L. Schmidt, A. Peruzzi, A. Scala, M. Cinelli, P. Pomerantsev, A. Applebaum, S. Gaston, N. Fusi, Z. Peterson, G. Severgnini, A. F. De Cesco, D. Casati, P. K. Novak, H. E. Stanley, F. Zollo, W. Quattrociocchi)
- • Using information theory to optimize epidemic models for real-time prediction and estimation (K. V. Parag, C. A. Donnelly)
- • Synthetic Data for Deep Learning (S. I. Nikolenko)
- • A guide to R — the pandemic's misunderstood metric (D. Adam)
- • The State of AI Ethics Report (A. Gupta, C. Lanteigne, V. Heath, M. B. Ganapini, E. Galinkin, A. Cohen, T. De Gasperis, M. Akif, R. Butalid)
- • Causality Learning: A New Perspective for Interpretable Machine Learning (G. Xu, T. D. Duong, Q. Li, S. Liu, X. Wang)
- • Online Dynamic Network Embedding (H. Huang, J. Li, H. He, H. Chen)
- • X-SHAP: towards multiplicative explainability of Machine Learning (L. Bouneder, Y. Léo, A. Lachapelle)
- • An encoder-decoder-based method for COVID-19 lung infection segmentation (Om Elharrouss, N. Subramanian, S. Al-Maadeed)
Color Theory - DVS Fireside Chat #1
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