In an ideal world, an AI model looking for new materials to build better batteries would be trained on millions or even ...

Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach The ...

A predictive modeling framework integrating machine learning with real-time trading strategies generates over $500,000 documented profitability ...

Uncertainty quantification (UQ) is a field of study that focuses on understanding, modeling, and reducing uncertainties in computational models and real-world systems. It is widely used in engineering ...

Not to get too lofty, but if you think about it, one could argue that our entire world is powered by data. Statistics here, IP addresses there. Ones, zeroes, and many other numbers coasting down the ...

In real-world, multi-step tasks, generative AI's inherent lack of control is a critical flaw. Because the AI produces ...

The researchers identify critical limitations that restrict the full realization of AI’s potential in mine safety. A major ...

Machine learning models are designed to take in data, to find patterns or relationships within those data, and to use what ...