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 ...
Our fith annual State of SEO Report is here! It’s packed with valuable insights. Uncover the top factors currently affecting SEO, and what this means for your strategy. Join Pat Reinhart, VP of ...
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, ...
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