Issue #89
February 7, 2021
- 1. It’s Time for a National Pandemic Prediction Agency [wired.com]
- 2. How to write readable code [jeremymikkola.com]
- 3. Machine Learning, Kolmogorov Complexity, and Squishy Bunnies [theorangeduck.com]
- 4. The mathematics of shuffling [plus.maths.org]
- 5. Naked shorting: The curious incident of the shares that didn't exist [euromoney.com]
- 6. How to Increase Your Luck Surface Area [codusoperandi.com]
- 7. The Hard Lessons of Modeling the Coronavirus Pandemic [quantamagazine.org]
- • Superspreading genomes (S. Alizon)
- • Tracing contacts, finding ourselves (N. Naseer, K. Strelau)
- • Language left behind on social media exposes the emotional and cognitive costs of a romantic breakup (S. Seraj, K. G. Blackburn, J. W. Pennebaker)
- • Entropic Dynamics of Networks (F. X. Costa, P. Pessoa)
- • Modeling how social network algorithms can influence opinion polarization (H. F. de Arruda, F. M. Cardoso, G. F. de Arruda, A. R. Hernández, L. da F. Costa, Y. Moreno)
- • tf.data: A Machine Learning Data Processing Framework (D. G. Murray, J. Simsa, A. Klimovic, I. Indyk)
- • An evolutionary view on the emergence of Artificial Intelligence (M. E. Leusin, B. Jindra, D. S. Hain)
- • A Statistician Teaches Deep Learning (G. J. Babu, D. Banks, H. Cho, D. Han, H. Sang, S. Wang)
- • Embodied Intelligence via Learning and Evolution (A. Gupta, S. Savarese, S. Ganguli, L. Fei-Fei)
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