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 ...

Leveraging AI to help analyze and visualize data gathered from a variety of data sets enables data-driven insights and fast analysis without the high costs of talent and technology. In today's ...

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 ...

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, ...

Antitrust enforcers and private plaintiffs over the past few years have pursued increasingly aggressive theories of liability based on information exchange and the use of algorithmic pricing and ...

Data science plays a critical role in supporting decision-making processes by providing insights and recommendations based on data analysis. In order to create new products, services and procedures, ...

Across the nation, judges, probation and parole officers are increasingly using algorithms to assess a criminal defendant’s likelihood of becoming a recidivist – a term used to describe criminals who ...