Issue #231
January 12, 2024
- 1. Attacks on machine learning models [rnikhil.com]
- 2. Do we think of git commits as diffs, snapshots, and/or histories? [jvns.ca]
- 3. Software Technical Writing: [A Guidebook]
- 4. Ten Noteworthy AI Research Papers of 2023 [magazine.sebastianraschka.com]
- 5. The counter-intuitive rise of Python in scientific computing [fortran-lang.discourse.group]
- 6. The Random Transformer [osanseviero.github.io]
- 7. Using a Markov chain to generate readable nonsense with 20 lines of Python [benhoyt.com]
- • Adversarial Machine Learning:
- • Robustness and resilience of complex networks (O. Artime, M. Grassia, M. De Domenico, J. P. Gleeson, H. A. Makse, G. Mangioni, M. Perc, F. Radicchi)
- • Solving real-world optimization tasks using physics-informed neural computing (J. Seo)
- • Are we really Bayesian? Probabilistic inference shows sub-optimal knowledge transfer (C.-H. S. Lin ,T. T. Do, L. Unsworth, M. I. Garrido)
- • Mixtral of Experts (A. Q. Jiang, A. Sablayrolles, A. Roux, A. Mensch, B. Savary, C. Bamford, D. S. Chaplot, D. de las Casas, E. B. Hanna, F. Bressand, G. Lengyel, G. Bour, G. Lample, L. R. Lavaud, L. Saulnier, M.-A. Lachaux, P. Stock, S. Subramanian, S. Yang, S. Antoniak, T. L. Scao, T. Gervet, T. Lavril, T. Wang, T. Lacroix, W. E. Sayed)
- • Complex systems approach to natural language (T. Stanisz, S. Drożdż, J. Kwapień)
- • Turing Complete Transformers: Two Transformers Are More Powerful Than One (Anonymous authors)
- • “I Have Never Seen a Bad Backtest”: Modeling Reality in Quantitative Investing (M. S. Rzepczynski, A. Brunner, P. Wild)
History of the Graphical User Interface (GUI): A Wonderful Curse
All our videos are also available in our YouTube playlist.
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