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 ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

The rapid evolution of big data technology in the past few years has changed forever the pursuit of scientific exploration and discovery. Along with traditional experiment and theory, computational ...

There were 36 studies that met criteria for full-text abstraction. Of those, only 45% specifically identified the pharmacy data source, and 55% specified drug agents or drug classes. Multiple AI ...

The international market research industry is worth approximately $150 billion in 2025, and it’s become essential for ...

Colour image demosaicking is a critical process in digital imaging whereby a complete, high-quality colour picture is reconstructed from the incomplete data captured by a sensor’s colour filter array ...

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 ...

The film details the data analysis procedures used in a comparative psycholinguistics research project at the University of Illinois, initiated in 1960. It illustrates the systematic steps taken to ...

Patrick Flandrin president of the association GRETSI. The notion of “signal processing” might seem like something impenetrably complex, even to scientists. However, the fact is that most of them have ...