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Using smartphone sensors and deep learning to detect walking patterns and build the future of passive health monitoring.

Rethinking life itself — from ants in the basement to AI, stars, and civilizations. A new universal framework for understanding life as a process, not a thing.

Can gait patterns and iPhones be used to predict susceptibility to disease?

Recurrent Neural Networks (RNNs) are a type of deep learning model designed to process sequential data. This article explores different architectures for overcoming the vanishing gradient problem.

Memorization is still key to becoming an expert in a given field, despite current educational trends emphasizing critical thinking and comprehension.