Secur-e-Health demonstrates how PETs securely combine healthcare data for better risk predictions. Now available: the PET ...

Today, artificial intelligence is being used across healthcare for administrative tasks, such as improving medical coding, and for certain clinical use cases, such as enhancing radiologists' reviews ...

Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...

AI can use sleep data from a single night to identify patterns linked to disease risk years before symptoms appear.

This, of course, couldn’t be further from the truth, as AI has no capacity to learn anything and to derive answers, recommendations, or conclusions that exceed the scope of the data it was trained on.

In just two short years, the entire data and technology industry has undergone a seismic shift. Tech stacks — from top to bottom — are being tuned to harness extreme parallel computing, often called ...

Large amounts of data ("big data") offer enormous potential for improving the accuracy of genome-wide predictions in plant breeding. Encouraged by successful results with wheat hybrids, researchers at ...

Once a promising but mostly supportive tool, artificial intelligence now stands at the center of how businesses manage and interpret customer data. Its capabilities are reshaping industries, enabling ...