Issue #67
September 6, 2020
- 1. Introduction to recurrent neural networks [jeremyjordan.me]
- 2. Tracing at Slack: Thinking in Causal Graphs [slack.engineering]
- 3. Mathematicians Report New Discovery About the Dodecahedron [quantamagazine.org]
- 4. Unusual maps [edwardtufte.com]
- 5. Henrietta Lacks: science must right a historical wrong [nature.com]
- 6. AI can Read and Visualize our thoughts [thinkml.ai]
- 7. Can AI Reimagine City Configuration and Automate Urban Planning? [syncedreview.com]
- • Statistical prediction of the future impairs episodic encoding of the present (B. E. Sherman, N. B. Turk-Browne)
- • The unreasonable effectiveness of deep learning in artificial intelligence (T. J. Sejnowski)
- • Fairness definitions explained (S. Verma, J. Rubin)
- • Fertility, mortality, migration, and population scenarios for 195 countries and territories from 2017 to 2100: a forecasting analysis for the Global Burden of Disease Study (S. E. Vollset, E. Goren, C.-W. Yuan, J. Cao, A. E. Smith, T. Hsiao, et al)
- • Graph Representations for Higher-Order Logic and Theorem Proving
- • Dynamics of node influence in network growth models
- • Landscape of Machine Implemented Ethics
- • Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learnin (G. Spadon, S. Hong, B. Brandoli, S. Matwin, J. F. Rodrigues-Jr, J. Sun)
Algorithms Course - Graph Theory Tutorial from a Google Engineer
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