Issue #129
July 4, 2021
- 1. NFT's Aren't the Answer to the IRL Problems of Digital Art [jacquescorbytuech.com]
- 2. Signatures: The foundations of modern end-to-end encryption [kerkour.com]
- 3. Blockchain 101: The Simplest Guide You Will Ever Read [velotio.com]
- 4. An oral history of Bank Python [calpaterson.com]
- 5. All Machine Learning Algorithms You Should Know in 2022 [towardsdatascience.com]
- 6. The decline of unfettered research [dtc.umn.edu]
- 7. It’s Mostly a Demand Shock, Not a Supply Shock, and It’s Everywhere [bridgewater.com]
- • Robust Dynamic Clustering for Temporal Networks (J. You, C. Hu, H. Kamigaito, K. Funakoshi, M. Okumura)
- • Identification and prioritization of urban traffic bottlenecks (N. Serok, S. Havlin, E. B. Lieberthal)
- • Effective Resistance for Pandemics: Mobility Network Sparsification for High-Fidelity Epidemic Simulation (A. M. Mercier, S. V. Scarpino, C. Moore)
- • Revealing the Global Linguistic and Geographical Disparities of Public Awareness to Covid-19 Outbreak through Social Media (B. Lin, L. Zou, N. Duffield, A. Mostafavi, H. Cai, B. Zhou, J. Tao, M. Yang, D. Mandal, J. Abedin)
- • NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework (X. Yao, Y. Zheng, X. Yang, Z. Yang)
- • Learning Time-Varying Graphs from Online Data (A. Natali, E. Isufi, M. Coutino, G. Leus)
- • Machine Learning from a Bayesian Perspective (M. E. Khan)
- • A Survey of Visual Transformers (Y. Liu, Y. Zhang, Y. Wang, F. Hou, J. Yuan, J. Tian, Y. Zhang, Z. Shi, J. Fan, Z. He)
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