Volume 51 | Number 10 | December 2018

Designing Algorithms to Increase Fairness in Artificial Intelligence

The increasing role of artificial intelligence to automate decision-making sparks concern about potential AI-based discrimination.

Rhapsodizing About Bohemian Matrices

Matrices of small integers—innocuous as they may seem—can clearly provoke interesting behavior.

Joseph Teran spoke about the use of mathematical models for computer-generated imagery at AN18.

Gil Strang identifies continuous piecewise linear functions as powerful approximators in an effort to transform shallow learning into deep learning.

On the occasion of a birthday celebration, Walter Gautschi describes his interest in different research areas.

Nature can overcome the second law of thermodynamics and (nearly) exchange the temperatures of two substances.

Per-Gunnar Martinsson describes two randomized algorithms designed to help process large datasets in high-dimensional spaces.

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