The results show that the Decision Tree model emerged as the top-performing algorithm, achieving an accuracy rate of 99.36 percent. Random Forest followed closely with 99.27 percent accuracy, while ...

HFpEF in hypertrophic cardiomyopathy predicts adverse outcomes. Discover how machine learning improves risk assessment.

Discover how explainable AI enhances Parkinson’s disease prediction with improved accuracy and clinical interpretability.

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

Florida's Indian River Lagoon has been an ecosystem in decline going back to 2011, when harmful algal blooms led to a severe ...

A skin cancer diagnosis can seem to arrive out of nowhere. But buried in years of health records, prescription histories, and ...

Newly published research suggests that AI can subliminally learn. This is exciting but also disconcerting. Evil AI could ...

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...

Researchers used the world's fastest supercomputer for open science to train an artificial intelligence model that captures ...

Automotive manufacturers are increasingly using AI-powered forecasting tools to predict supply chain disruptions up to three weeks in advance, helping avoid costly production stoppages. These systems ...

The field of intelligent energy systems has witnessed a remarkable transformation owing to innovations in machine learning. Over the past few decades, the ...

From predicting game outcomes to tracking 15 million data points per match, AI is revolutionizing baseball analytics. Teams, coaches, and players now have access to pro-level insights once reserved ...