According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

A scoping review shows machine learning models may help predict response to biologic and targeted synthetic DMARDs in ...

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...

While the potential benefits of AI in obesity prevention are substantial, the study devotes significant attention to ...

Artificial intelligence has become both the weapon and the shield in today’s cyber battlefield. From self-learning malware to ...

A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...

Artificial intelligence is revolutionizing drug discovery and antibody engineering, accelerating the creation of new ...