Nature

AI models ‘subliminally’ transmit biases when training other systems

Using artificial-intelligence to teach other models can be cheaper and faster than building them from scratch, but this ...
Nature

Dozens of AI disease-prediction models were trained on dubious data

The models are designed to predict someone’s risk of diabetes or stroke. A few might already have been used on patients.
Tech Xplore on MSN

HarmonyGNN boosts graph AI accuracy on four tough benchmarks by up to 9.6%

Researchers have demonstrated a new training technique that significantly improves the accuracy of graph neural networks (GNNs)—AI systems used in applications from drug discovery to weather ...