September 2021

Distilling neural networks into wavelet models using interpretations

Fig 1. A wavelet adapting to new data.

Recent deep neural networks (DNNs) often predict extremely well, but sacrifice interpretability and computational efficiency. Interpretability is crucial in many disciplines, such as science and medicine, where models must be carefully vetted or where interpretation is the goal itself. Moreover, interpretable models are concise and often yield computational efficiency.

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The Impact of Artificial Intelligence on Commercial Real Estate: The Ways AI Will Change Things

Artificial Intelligence (AI) is changing the commercial real estate industry by making everything more efficient, accessible, and transparent. Many companies are using AI to analyze their data and make better… Read More »The Impact of Artificial Intelligence on Commercial Real Estate: The Ways AI Will Change Things