Flood disaster prediction using multi-scale deep learning and neuro-fuzzy inference

A new algorithmic framework that can predict flooding could help save lives and reduce the devastation as climate change drives more intense and unpredictable rainfall.
mccormick.northwestern.edu

Exploring the Connections Among Machine Learning, Interpretability, and Logic

The field of interpretability investigates what machine learning (ML) models are learning from training datasets, the causes and effects of changes within a model, and the justifications behind its ...
Forbes

With Acquisition Of Latent Logic, Waymo Adds Imitation Learning To Self-Driving Training

Waymo is running 10,000 virtual vehicles through scenarios 24 hours a day and has logged more than 10 billion computer simulated miles. Now its learning environments will have a new tool to simulate ...