Powerful machine-learning models are being used to help people tackle tough problems such as identifying disease in medical images or detecting road obstacles for autonomous vehicles. But machine-learning models can make mistakes, so in high-stakes settings it's critical that humans know when to trust a model's predictions.
https://www.lifetechnology.com/blogs/life-technology-technology-news/efficient-technique-improves-machine-learning-models-reliability
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