Extracting useful information from large data sets can be a daunting task. Topological methods for analysing data sets provide a powerful technique for extracting such information. Persistent homology ...
Joshua Blumenstock is a Chancellor’s Associate Professor at the School of Information at UC Berkeley. Emily Aiken is a PhD ...
Massachusetts General Hospital researchers have found a way to maximize patient information in EHRs to predict likelihood of developing diseases. The study, published in Cell Patterns, details how ...
Explore how society uses and interacts with data to understand and navigate the world. Humans have always used data to help them understand and navigate the world. In recent years, advances in ...
A co-reported investigation with Gizmodo and The Markup into PredPol A co-reported investigation with Gizmodo and The Markup into PredPol PredPol’s algorithm is supposed to make predictions based on ...
New York City-based Mount Sinai School of Medicine researchers developed an artificial intelligence-powered algorithm that can learn to read patient data from EHRs as accurately as the traditional, ...
Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Amy is an ACA and the CEO and founder of ...
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