Issue #123
July 4, 2021
- 1. Understanding AWK [earthly.dev]
- 2. The Great AI Reckoning [spectrum.ieee.org]
- 3. Statistics as algorithmic summarization [argmin.net]
- 4. What John Von Neumann Really Did At Los Alamos [3quarksdaily.com]
- 5. Category Theory Illustrated [boris-marinov.github.io]
- 6. The Next Big Thing? Go Back To The Future [blog.eutopian.io]
- 7. Gentle introduction to GPUs inner workings [vksegfault.github.io]
- • Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics (L. Dyson, E. M. Hill, S. Moore, J. Curran-Sebastian, M. J. Tildesley, K. A. Lythgoe, T. House, L. Pellis, M. J. Keeling)
- • A distributed Monte Carlo based linear algebra solver applied to the analysis of large complex networks (F. Magalhães, J. Monteiro, J. A. Acebrón, J. R. Herrero)
- • Detecting informative higher-order interactions in statistically validated hypergraphs (F. Musciotto, F. Battiston, R. N. Mantegna)
- • Characterizing User Susceptibility to COVID-19 Misinformation on Twitter (X. Teng, Y.-R. Lin, W.-T. Chung, A. Li, A. Kovashka)
- • Systemic risk in interbank networks: disentangling balance sheets and network effects (A. Ferracci, G. Cimini)
- • Infrastructures connecting people. A mechanistic model for terrestrial transportation networks (L. Prignano, L. Font-Pomarol, I. Morer, S. Lozano)
- • Neural Distance Embeddings for Biological Sequences (G. Corso, R. Ying, M. Pándy, P. Veličković, J. Leskovec, P. Liò)
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