Learning from Their Mistakes: Self-Calibrating Sensors

Learning from Their Mistakes: Self-Calibrating Sensors

Careful calibration of sensors that provide information for a large number of measurands is often difficult to achieve in...

Knowing What to Know in Stochastic Optimization

Katya Scheinberg describes novel continuous optimization algorithms, which lie at the core of most foundational data science topics.

AMS-SIAM Norbert Wiener Prize in Applied Mathematics

The 2019 Norbert Wiener Prize is awarded to Marsha Berger (New York University) and Arkadi Nemirovski (Georgia...

Designing Pioneering Therapeutic Agents Against Disease-causing Viruses

Designing Pioneering Therapeutic Agents Against Disease-causing Viruses

Mathematical models can direct the design of defective interfering particles as therapeutic antiviral agents for poliovirus.

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Predictive Models of Crop Phenotyping Maximize Future Harvests

Predictive Models of Crop Phenotyping Maximize Future Harvests

Patrick Schnable presented novel predictive statistical models to forecast crop performance and maximize overall yield at CSE19.

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