When you listen to quantum enthusiasts, you may feel tempted to treat QML as an emerging silver bullet, which it isn’t.

The global market for machine learning technology reached $19.2 billion in 2022 and is expected to grow to $26.03 billion this year and reach $225.91 billion by 2030, according to Fortune Business ...

AI and ML projects will fail without good data because data is the foundation that enables these technologies to learn. Data strategies and AI and ML strategies are intertwined. Enterprises must make ...

Before data scientists can run machine learning models to tease out insights, they’re first going to need to transform the data—reformatting it or perhaps correcting it—so it’s in a ...

If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine ...

Data platform vendor Informatica is expanding its AI capabilities as the needs of gen AI continue to increase enterprise ...

Marine cone snails are host to a family of dangerous neurotoxins. Very little is known about how those toxins interact with ...

Learn machine learning algorithms, and statistical analysis to understand complex data, and leverage it to make informed business decisions. As part of the Rutgers Stackable Business Innovation ...

The data lakehouse architecture is leading this change—particularly for machine learning (ML) and advanced analytics—by combining the strengths of both data lakes and data warehouses.

EMBL-EBI scientists and collaborators at Heidelberg University have developed CORNETO, a new computational tool that uses ...