One data provider, Australia-based Dysrupt Labs, has built a product using prediction markets' odds.

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 ...

Prediction markets have rapidly gained prominence in 2025, generating around $40 billion in global trading volume and ...

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.

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

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 ...

The gambling industry has been actively voicing its concern about the encroachment of prediction markets on sports betting. Critics say prediction markets are little more but sports betting with some ...