Issue #169
August 21, 2022
- 1. The Science of Scientific Writing [americanscientist.org]
- 2. The world map that reboots your brain [axbom.com]
- 3. Running Large-Scale Graph Analytics with Memgraph and NVIDIA cuGraph Algorithms [developer.nvidia.com]
- 4. Ethereum's "Merge" is about to put every ether miner out of work [arstechnica.com]
- 5. Vector search just got up to 10x faster, easier to set up, and vertically scalable [pinecone.io]
- 6. Comparing quantiles at scale in online A/B-testing [engineering.atspotify.com]
- 7. Text Embeddings Visually Explained [txt.cohere.ai]
- 8. What Would a Theory of Data Visualization Look Like? [filwd.substack.com]
- 9. Variational Auto Encoder (VAE) for the Numerai Dataset [medium.com/mlearning-ai]
- 10. From ML Model to ML Pipeline [towardsdatascience.com]
- • American cultural regions mapped through the lexical analysis of social media (T. Louf, B. Gonçalves, J. J. Ramasco, D. Sanchez, J. Grieve)
- • Using a cognitive network model of moral and social beliefs to explain belief change (J. Dalege, T. Van Der Does)
- • A spatiotemporal decay model of human mobility when facing large-scale crises (W. Li, Q. Wang, Y. Liu, M. L. Small, J. Gao)
- • Heterogeneous rarity patterns drive price dynamics in NFT collections (A. Mekacher, A. Bracci, M. Nadini, M. Martino, L. Alessandretti, L. M. Aiello, A. Baronchelli)
- • Information theory: A foundation for complexity science (A. Golan, J. Harte)
- • Impact of Lifting School Masking Requirements on Incidence of COVID-19 among Staff and Students in Greater-Boston Area School Districts: A Difference-in-Differences Analysis (T. L. Cowger, J. Clarke, E. J. Murray, S. M. Sánchez, M.T. Bassett, B. O. Ojikutu, N. Linos, K. T. Hall)
- • Knowledge graph embedding by projection and rotation on hyperplanes for link prediction (T. Le, N. Huynh, B. Le)
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