The platform for betting on sports, politics, the weather and more has raised $1 billion and sees big financial firms as a ...

You build a machine learning model for stock prices, you train it on historical data, and you use it to predict future stock prices. You buy the stocks that it says will go up. You subscribe to ...

QIMR Berghofer scientists have developed an AI screening tool that harnesses the power of cutting-edge spatial biology ...

Artificial intelligence is increasingly being used to help scientists accelerate drug discovery and search for new treatments ...

Computational modelling, machine learning, and broader artificial (AI) intelligence approaches are now key approaches used to understanding and predicting ...

Oak Ridge National Laboratory (ORNL) used artificial intelligence and a physics-based understanding of streamflow to create a ...

Researchers use machine learning and genetic analysis to uncover type 1 diabetes risk factors, improving prediction accuracy ...

OBSCORE is a data-driven tool that identifies high-risk individuals for obesity-related diseases, enhancing treatment ...

UC San Diego researchers have developed T1GRS, a machine‑learning model that accurately predicts genetic risk for Type 1 ...

At the Dreame Nebula Next 01 launch, leading thinkers ponder AI’s impact on cars, productivity, and daily life—from ...

Ford engineers are studying whether AI can play a role in detecting faulty run-downs. To do that, they first had to determine ...