Dana Heitz reviews a criminal case out of Arizona involving AI-generated evidence. She sets out some ethical considerations ...

This study aimed to classify tomatoes based on their colorimetric characteristics, which influence consumer purchasing potential, using the decision tree algorithm ... The graphical representation of ...

In the shadow of Utah’s majestic mountains sits a humble white building with red trim that’s become a pilgrimage site for ...

The thunder of a tree falling or branches dancing in strong winds lets us know of potential dangers nearby. Robots, in contrast, have long relied solely on visual information ... and fused into a ...

In essence, AI must learn to wonder," says Alexandre Alahi, head of EPFL's Visual Intelligence for Transportation Laboratory ... robots anticipate changes in their surroundings, making decision-making ...

A study by the universities of Cordoba and Seville develops a method that makes it possible to verify, easily and quickly, ...

Decision trees can help select the best information from multiple data sources for cancer care research. The algorithms we developed may be useful for improving the utilization of other linked cancer ...

A Decision Tree is a popular supervised machine learning algorithm used for both classification and regression tasks. It splits the data into subsets based on the value of input features, recursively.