Issue #185
December 12, 2022
- 1. Artificial intelligence is permeating business at last [economist.com]
- 2. Every modeler is supposed to be a great Python programmer [statmodeling.stat.columbia.edu]
- 3. A Data-Centric Introduction to Computing [dcic-world.org]
- 4. Fusion energy breakthrough by US scientists boosts clean power hopes [ft.com]
- 5. Why The Age Of American Progress Ended [theatlantic.com]
- 6. Modeling the Black-Scholes-Merton (BSM) Model in Python [python.plainenglish.io]
- 7. A/B Testing in Python with a User Average Metric [medium.com/@riddhimansherlekar]
- 8. Self-supervised learning: The dark matter of intelligence [ai.facebook.com]
- • The Forward-Forward Algorithm: Some Preliminary Investigations (G. Hinton)
- • Fragmentation of outage clusters during the recovery of power distribution grids (H. Wu, X. Meng, M. M. Danziger, S. P. Cornelius, H. Tian, A.-L. Barabási)
- • Eigenvalue spectra and stability of directed complex networks (J. W. Baron)
- • Discovering Latent Knowledge in Language Models Without Supervision (C. Burns, H. Ye, D. Klein, J. Steinhardt)
- • Teaching Algorithmic Reasoning via In-context Learning (H. Zhou, A. Nova, H. Larochelle, A. Courville, B. Neyshabur, H. Sedghi)
- • A Generalist Neural Algorithmic Learner (B. Ibarz, V. Kurin, G. Papamakarios, K. Nikiforou, M. Bennani, R. Csordás, A. Dudzik, M. Bošnjak, A. Vitvitskyi, Y. Rubanova, A. Deac, B. Bevilacqua, Y. Ganin, C. Blundell, P. Veličković)
- • A Decade of Knowledge Graphs in Natural Language Processing: A Survey (P. Schneider, T. Schopf, J. Vladika, M. Galkin, E. Simperl, F. Matthes)
Billion Scale Deduplication using Approximate Nearest Neighbours
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