Four short links: 22 September 2015

Ant Algorithms, Git Commit, NASA's Deep Learning, and Built-In Empathy

  1. Ant Algorithms for Discrete Optimization (Adrian Colyer) — Stigmergy is the generic term for the stimulation of workers by the performance they have achieved – for example, termite nest-building works in a similar way. Stigmergy is a form of indirect communication “mediated by physical modifications of environmental states which are only locally accessible to the communicating agents.
  2. How to Write a Git Commit Message (Chris Beams) — A diff will tell you what changed, but only the commit message can properly tell you why.
  3. Deep Belief Networks at the Heart of NASA Image ClassificationThe two new labeled satellite data sets were put to the test with a modified deep-belief-networks-driven approach, ultimately. The results show classification accuracy of 97.95%, which performed better than the unmodified pure deep belief networks, convolutional neural networks, and stacked de-noising auto-encoders by around 11%.
  4. The Consequences of An Insightful Algorithm (Carina C. Zona) — We design software for humans. Balancing human needs and business specs can be tough. It’s crucial that we learn how to build in systematic empathy. (via Rowan Crawford)
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