Issue #133
July 4, 2021
- 1. Mathematicians Transcend Geometric Theory of Motion [quantamagazine.org]
- 2. Training Computer Vision Models on Random Noise Instead of Real Images [unite.ai]
- 3. DeepMind’s AI helps untangle the mathematics of knots [nature.com]
- 4. Apple Neural Engine Internal: From ML Algorithm to HW Registers [blackhat.com]
- 5. AI Training Is Outpacing Moore’s Law [spectrum.ieee.org]]
- 6. Introducing stack graphs [github.blog]
- 7. Prettify Your Data Structures With Pretty Print in Python [realpython.com]
- • Link recommendation algorithms and dynamics of polarization in online social networks (F. P. Santos, Y. Lelkes, S. A. Levin)
- • Polarization and tipping points (M. W. Macy, M. Ma, D. R. Tabin, J. Gao, B. K. Szymanski)
- • What human mobility data tell us about COVID-19 spread (Laura Alessandretti)
- • Companies under stress: the impact of shocks on the production network (R. Pálovics, P. Dolenc, J. Leskovec)
- • Mobility signatures: a tool for characterizing cities using intercity mobility flows (M. Kiashemshaki, Z. Huang, J. Saramäki)
- • Theoretical models and statistical modeling of linguistic epicentres (T. Bernaisch, S. Th. Gries, B. Heller)
- • Opinion dynamics: Public and private (S. Roy, S. Biswas)
Introduction to Machine Learning with SQL on Google BigQuery
All our videos are also available in our YouTube playlist.
Enjoy the newsletter?
Forward it to a friend, or subscribe to get it straight to your inbox.
Subscribe Free