Instead of finding true medical insights, these algorithms sometimes rely on irrelevant factors — leading to misleading ...
Researchers developed an AI debiasing technique that improves the fairness of a machine-learning model by boosting its performance for subgroups that are underrepresented in its training data, while ...
Researchers at the University of Waterloo's Institute for Quantum Computing (IQC) have found that quantum algorithms could ...
Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets ...
Machine learning algorithms are a powerful tool for detecting anomalies in network traffic structure. In this way they can ...
When a quantum computer processes data, it must translate it into understandable quantum data. Algorithms that carry out this 'quantum compilation' typically optimize one target at a time. However, a ...
The real estate industry, long considered one of the most traditional sectors, has undergone a seismic transformation in ...
By combining scientific knowledge and data, Causal AI models can discover valid links that might otherwise go unnoticed.
In early December, the FDA issued final guidance on Predetermined Change Control Plans (PCCPs) for AI-enabled device software ...
Automation is one facet of injection molding where investment continues. "The industry is seeing a downward trend for new ...
AI and machine learning transform Battery State of Health (SOH) estimation, enabling proactive maintenance and improving the ...
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