Big data may hold a world of untapped potential, but what happens when your data set is bigger than your processing power can handle? A new algorithm that taps quantum computing may be able to help.

Extracting and analyzing relevant medical information from large-scale databases such as biobanks poses considerable challenges. To exploit such "big data," attempts have focused on large sampling ...

This is a graduate-level course on theoretical aspects of Big Data. We will examine algorithms and data structures for dealing with massive data sets. We will discuss such topics as streaming ...

Data clustering remains an essential component of unsupervised learning, enabling the exploration and interpretation of complex datasets. The field has witnessed considerable advancements that address ...

The ISTA team’s interdisciplinary study combines expertise in information theory, mathematics, genomics, and software engineering. From left to right: Al Depope, Jakub Bajzik, Marco Mondelli, and ...

Switzerland-based UBS Group AG (UBSG:SW), a multinational investment bank and financial services company co-headquartered in Basel and Zürich and Basel with nearly $1 trillion in total assets, has ...

Algorithms are crucial in exploiting big data's power. They are a backbone, allowing meaningful analysis and insights from vast information. Applying algorithms to big meta reveals patterns, trends, ...

As big data takes a larger role in healthcare analytics, healthcare organizations may come to rely on algorithms, but some experts are questioning whether the algorithms should be overseen. A new ...

TWO YEARS ago, when Elinor Lobel was 16, a “smart” insulin pump was attached to her body. Powered by artificial intelligence (AI), it tracks her glucose levels and administers the right dose of ...