In life science research, data comes in many forms - structured clinical trial tables, semi-structured instrument outputs, ...

The MapReduce paradigm has emerged as a transformative framework for processing vast datasets by decomposing complex tasks into simpler map and reduce functions. This approach has been instrumental in ...

Researchers at the Georgia Tech Research Institute recently combined machine learning, field-programmable gate arrays (FPGAs), graphics processing units (GPUs), and a novel radio frequency image ...

Graphics processing units have become much more prominent in recent years because of their ability to perform the complex calculations on large data sets that underpin modern artificial intelligence ...

The University of Scranton hosted its second annual Data Science Day on Thursday for students from five area high schools ...

Pew Research Center’s Data Labs team uses computational methods to complement and expand on the Center’s existing research agenda. The team collects text, audiovisual and behavioral datasets; uses ...

High-resolution mass spectrometry generates massive datasets that challenge traditional data processing capabilities, particularly when analyzing complex sample matrices containing hundreds of target ...

STURDX, a leader in custom server rack and outdoor network enclosure solutions, today announced the release of its 2026 Trend ...

RESEARCH TRIANGLE PARK, N.C. -- An Army scientist earned top honors for his signal processing research from IEEE, the world's largest technical professional organization dedicated to advancing ...

The space race is back – but unlike the battle between the political superpowers in the 60s, this one is between tech ...