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 ...

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 ...

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 ...

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, ...

Penn State researchers have developed a new algorithm which enables cell-phone users to fetch data from music to TV shows as quickly as feasible with minimal channel switches. Penn State researchers ...

As data analysis becomes a bigger focus in the medtech industry, protecting approach methodology is supplanting patent ...

Think of artificial intelligence (AI) as a forensic magnifying glass... here is how it works. In the simplest terms, ...

Over the past year, machine learning and artificial intelligence technology have made significant strides. Specialized algorithms, including OpenAI's DALL-E, have demonstrated the ability to generate ...