Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...

Computer vision researchers use machine learning to train computers in visually recognizing objects but very few apply machine learning to mechanical parts, such as gearboxes, bearings, brakes, ...

(a) The flow to train the estimator. Training data for the CNN was prepared by simulation using the CI model. The researchers simplified the data with pre-processing and then trained the CNN. (b) The ...

The ability to anticipate what comes next has long been a competitive advantage -- one that's increasingly within reach for developers and organizations alike, thanks to modern cloud-based machine ...

Bottom line: Recent advancements in AI systems have significantly improved their ability to recognize and analyze complex images. However, a new paper reveals that many state-of-the-art visual ...