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Explainable AI techniques can improve the trustworthiness of wind power forecasts

Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to ...
Devdiscourse

AI-driven fraud detection promises accuracy with accountability

Explainable AI plays a central role in validating model behavior. Using established explainability techniques, the study examines which financial variables drive fraud predictions. The results show a ...
Devdiscourse

Data-driven neurology: AI systems close gap in Parkinson’s detection

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...
News Medical

Deep learning techniques transform protein structure prediction

In the rapidly advancing field of computational biology, a newly peer-reviewed review explores the transformative role of deep learning techniques in revolutionizing protein structure prediction. The ...
The Conversation

Opening the black box: how ‘explainable AI’ can help us understand how algorithms work

David Martens has received funding from AXA JRI. Sofie Goethals has received funding from the Flemish Research Foundation. When you visit a hospital, artificial intelligence (AI) models can assist ...