Issue #214

August 16, 2023

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1. 1. Risky Giant Steps Can Solve Optimization Problems Faster [quantamagazine.org]
2. 2. Quantum AI breakthrough: theorem shrinks appetite for training data [discover.lanl.gov]
3. 3. A gentle introduction to information geometry [robots.ox.ac.uk]
4. 4. Beginner’s guide to Llama models [agi-sphere.com]
5. 5. Do Machine Learning Models Memorize or Generalize? [pair.withgoogle.com]
6. 6. Learning Algorithms [paedubucher.ch]
7. 7. The Two Metrics That Reveal True Data Dispersion Beyond Standard Deviation [towardsdatascience.com]

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• • Vitamin interdependencies predicted by metagenomics-informed network analyses and validated in microbial community microcosms (T. Hessler, R. J. Huddy, R. Sachdeva, S. Lei, S. T. L. Harrison, S. Diamond, J. F. Banfield)
• • Effects of COVID-19 vaccination and previous infection on Omicron SARS-CoV-2 infection and relation with serology (B. de Gier, A. J. Huiberts, C. E. Hoeve, G. den Hartog, H. van Werkhoven, R. van Binnendijk, S. J. M. Hahné, H. E. de Melker, S. van den Hof, M. J. Knol)
• • An introduction to graph theory (D. Grinberg)
• • Machine Learning for Infectious Disease Risk Prediction: A Survey (M. Liu, Y. Liu, J. Liu)
• • MetaGPT: Meta Programming for Multi-Agent Collaborative Framework (S. Hong, X. Zheng, J. Chen, Y. Cheng, J. Wang, C. Zhang, Z. Wang, S. K. S. Yau, Z. Lin, L. Zhou, C. Ran, L. Xiao, C. Wu)
• • Predicting Information Pathways Across Online Communities (Y. Jin, Y.-C. Lee, K. Sharma, M. Ye, K. Sikka, A. Divakaran, S. Kumar)
• • Thermodynamic Linear Algebra (M. Aifer, K. Donatella, M. H. Gordon, T. Ahle, D. Simpson, G. E. Crooks, P. J. Coles)

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