Issue #102
May 9, 2021
- 1. Game theory as an engine for large-scale data analysis [deepmind.com]
- 2. Automata Modulo Theories [cacm.acm.org]
- 3. Why Physics has Relevancy To Artificial Intelligence And Building AI Leadership Brain Trust? [forbes.com]
- 4. The Pastry A.I. That Learned to Fight Cancer [newyorker.com]
- 5. National Artificial Intelligence Initiative [ai.gov]
- 6. Kolmogorov Complexity [blog.neotree.uber.space]
- 7. The Computers Are Getting Better at Writing [newyorker.com]
- 8. Diffie-Hellman for the Layman [borisreitman.medium.com]
- 9. Principal Component Analysis Explained Visually [setosa.io]
- 10. Andrew Ng X-Rays the AI Hype [spectrum.ieee.org]
- 11. A Hitchhiker's Guide to SQLite with Python [arctype.com]
- • Modeling of Future COVID-19 Cases, Hospitalizations, and Deaths, by Vaccination Rates and Nonpharmaceutical Intervention Scenarios — United States, April–September 2021 (R. K. Borchering, C. Viboud, E. Howerton, C. P. Smith, S. Truelove, M. C. Runge, N. G. Reich, L. Contamin, J. Levander, et al)
- • Effect of manual and digital contact tracing on COVID-19 outbreaks: a study on empirical contact data (A. Barrat, C. Cattuto, M. Kivelä, S. Lehmann, J. Saramäki)
- • Network medicine framework for identifying drug-repurposing opportunities for COVID-19 (D. M. Gysi, Í. do Valle, M. Zitnik, A. Ameli, X. Gan, O. Varol, S. D. Ghiassian, J. J. Patten, R. A. Davey, J. Loscalzo, A.-L. Barabási)
- • Global inequality remotely sensed (M. U. Mirza, C. Xu, B. van Bavel, E. H. van Nes, M. Scheffer)
- • Machine Learning in Causal Inference: How do I love thee? Let me count the ways (L. B. Balzer, M. L. Petersen)
- • Characterizing key agents in the cryptocurrency economy through blockchain transaction analysis (X. F. Liu, H.-H. Ren, S.-H. Liu, X.-J. Jiang)
- • Building surrogate temporal network data from observed backbones (C. Presigny, P. Holme, A. Barrat)
- • Centralities in complex networks (A. Bovet, H. A. Makse)
- • Capturing the diversity of multilingual societies (T. Louf, D. Sanchez, J. J. Ramasco)
- • Understanding bias in facial recognition technologies (D. Leslie)
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