Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

AI-driven models, particularly ... This progress in extreme weather prediction is a testament to the power of AI in enhancing ...

However, predictions made by machine learning ... training data, making it difficult to explore uncharted territories. For instance, even generative AI, such as large language models that have ...

However, predictions made by machine learning ... training data, making it difficult to explore uncharted territories. For instance, even generative AI, such as large language models that have ...

The researchers created four machine learning (ML ... conducted with the Advanced Circulation Model. The integration of these methods improves prediction accuracy and reduces uncertainty by ...

Machine learning models are becoming increasingly important in the prediction of economic crises. The models, however, use datasets comprising a large number of predictors (features) which impairs ...

Yield prediction is one of the most extensively explored areas in wheat-focused AI research. Using satellite data, UAV ...

In a landmark contribution to petroleum engineering, Nigerian researcher Prosper Nekekpemi has developed a machine learning model that significantly improves the prediction of bubble-point ...