Machine learning, which is the basis for most commercial artificial-intelligence systems, is intrinsically probabilistic. An object-recognition ... that relate classification terms hierarchically ...

Those labeled examples lead infants to initiate the process of categorization ... unlabeled objects. "This insight from machine learning sheds light on a paradox in infant development.

TinyML has made great progress in image classification, where the machine learning model must only predict the presence of a certain type of object in an image. On the other hand, object detection ...

Deep neural networks have gained fame for their capability to process visual information. And in the past few years, they have become a key component of many computer vision applications.

Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation. Image classification determines whether a certain type ...

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Application of machine learning techniques to large ... the nature of most of which were unknown. A classification of the nature of unknown objects is equivalent to the discovery of objects ...

Forbes contributors publish independent expert analyses and insights. I write about the broad intersection of data and society. The deep learning revolution has ushered in a new generation of ...