Issue #194
March 14, 2023
- 1. Demystifying bitwise operations, a gentle C tutorial [andreinc.net]
- 2. The next generation of AI for developers and Google Workspace [blog.google]
- 3. The Hidden Mathematics of Crowds: How Pedestrians Inadvertently Self-Organize [scitechdaily.com]
- 4. AI Chatbots Don't Care About Your Social Norms [noemamag.com]
- 5. How Python virtual environments work [snarky.ca]
- 6. Things You Can do Using Kangas Library in Data Science [heartbeat.comet.ml]
- 7. 13 SQL Statements for 90% of Your Data Science Tasks [levelup.gitconnected.com]
- 8. DataShader: Visualizing Large Datasets with Python [python.plainenglish.io]
- • The dynamic nature of percolation on networks with triadic interactions (H. Sun, F. Radicchi, J. Kurths, G. Bianconi)
- • Charting mobility patterns in the scientific knowledge landscape (C. K. Singh, L. Tupikina, F. Lécuyer, M. Starnini, M. Santolini)
- • Opinion Dynamics on Complex Networks (J. Dong, Y.-C. Zhang, Y. Kong)
- • Bayesian Graph Neural Networks: An empirical evaluation (N. Mäki)
- • High-throughput Generative Inference of Large Language Models with a Single GPU (Y. Sheng, L. Zheng, B. Yuan, Z. Li, M. Ryabinin, D. Y. Fu, Z. Xie, B. Chen, C. Barrett, J.E. Gonzalez, P. Liang, C. Ré, I. Stoica, C. Zhang)
- • From Books to Knowledge Graphs (N. Kokash, M. Romanello, E. Suyver, G. Colavizza)
- • How to avoid machine learning pitfalls: a guide for academic researchers (M. A. Lones)
Matchings, Perfect Matchings, Maximum Matchings, and More!
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