In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of ...
By applying techniques from explainable artificial intelligence, engineers can improve users' confidence in forecasts ...
While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for ...
Beyond improving accuracy, xAI allowed researchers to compare prognostic markers across different cancer types, unveiling ...
Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of parameters to predict the course of a disease. However, these few ...
Demystifying Artificial Intelligence in Data Pipelines As Artificial Intelligence (AI) continues to integrate into various ...
Explainable artificial intelligence (XAI) is a branch of AI that helps users to peek inside the black-box of AI models to understand how their output is generated and whether their forecasts can ...
In a world where ‘data is the new oil’, we must also ensure that a person’s ownership of this valuable resource is protected.