In a new paper published in Nature Geoscience, experts from Fraunhofer Heinrich-Hertz-Institut (HHI) advocate for the use of ...

A new study by SRH University emphasizes the benefits of explainable AI systems for the reliable and transparent detection of ...

By applying techniques from explainable artificial intelligence, engineers can improve users' confidence in forecasts ...

A new study by SRH University emphasises the benefits of explainable AI systems for the reliable and transparent detection of deepfakes. AI decisions can be presented in a comprehensible way through ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

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 ...

In the study recently published in the journal Applied Sciences, the scientists present the use of explainable artificial intelligence (Explainable AI) to increase transparency and reliability in ...

Beyond improving accuracy, xAI allowed researchers to compare prognostic markers across different cancer types, unveiling ...

It has been quite the week for artificial intelligence, or AI as we call it. Globally, the story was how a Chinese AI company ...

Personalized medicine aims to tailor treatments to individual patients. Until now, this has been done using a small number of ...

"Modern AI technologies, in particular explainable artificial intelligence (xAI), can be used to decipher these complex interrelationships and personalize cancer medicine to a much greater extent ...

Researchers at EPFL's WiRE Lab have integrated explainable AI (XAI) into wind power forecasting models, improving ...