A team of researchers from Drexel University has developed an innovative approach to rigorously test and improve the robustness of autonomous driving systems. Their study, presented this summer at ...

Quality control starts with an inspection of the finished product, but this method does not affect quality. For continuous quality improvements, you have to combine the inspection with methods that ...

Food matrices are notoriously complex. The panel explore how to overcome the biggest challenges to develop validated, ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In the subfield of machine learning known as natural language processing ...

Test scenarios for robustness verification always contain many input stability issues, such as erroneous values, lack or loss of value, unexpected timing and unpredicted toggling. Certainly, there is ...

When first introduced to mechanical testing of composite materials, one can be confused, even overwhelmed, by the number of available test standards. One reason for this large variety of tests is the ...

No matter the field, if a researcher is collecting data of any kind, at some point he is going to have to analyze it. And odds are he’ll turn to statistics to figure out what the data can tell him. As ...