Issue #101
May 2, 2021
- 1. The Turing Test is obsolete. It’s time to build a new barometer for AI [fastcompany.com]
- 2. The Agency Trilemma and ACM [cacm.acm.org]
- 3. The Fourier transform is a neural network [sidsite.com]
- 4. What AI Can Teach Us About the Myth of Human Genius [theatlantic.com]
- 5. Evolution of random number generators [johndcook.com]
- 6. A Learning Theoretic Perspective on Local Explainability [blog.ml.cmu.edu]
- 7. Hopfield Networks is All You Need [ml-jku.github.io]
- • Belief propagation for networks with loops (A. Kirkley, G. T. Cantwell, M. E. J. Newman)
- • The Times They Are Rarely A-Changin' - Circadian Regularities in Social Media Use (S. Kates, J. Tucker, J. Nagler, R. Bonneau)
- • Text Classification Algorithms: A Survey (K. Kowsari, K. J. Meimandi, M. Heidarysafa, S. Mendu, L. Barnes, D. Brown)
- • A Review of Formal Methods applied to Machine Learning (C. Urban, A. Miné)
- • The Production and Consumption of Social Media (A. Filippas, J. Horton)
- • Real-time Data Infrastructure at Uber (Y. Fu, C. Soman)
- • Why AI is Harder Than We Think (M. Mitchell)
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