Lumo leverages advanced machine learning to reduce calibration time, and flag low-confidence response factor predictions.

Researchers at MUSC Hollings Cancer Center have developed a machine learning tool to identify cancer patients who may be at high risk for financial toxicity – the financial stress and hardship that ...

People are exposed to thousands of chemicals every day—through the products they use, the food they eat and the environments they live in—but only a fraction of those chemicals have been fully tested ...

Cambridge, MA — In high-stakes settings like medical diagnostics, users often want to know what led a computer vision model to make a certain prediction, so they can determine whether to trust its ...

Discover how predictive analytics uses data-driven models like decision trees and neural networks to forecast outcomes and ...

Guest column: For centuries, humans looked to seers and astrologers to determine fate. Today, we look to algorithms, and the loss of agency is the same. Carissa Véliz is an associate professor at the ...

Machine learning method maps the uncertainty of biodiversity scenarios: The Bigfoot connection ...

The proposed framework combines machine learning and earthquake engineering to prioritize high-risk buildings, optimizing ...

"These speculative topics align with Virdee’s previous focus areas and the current trends in media and technology, offering plausible directions for his 2024 prediction." ...