Machine-learning systems are used to identify objects in images, transcribe speech into text, match news ... representations needed for detection or classification. Deep-learning methods are ...

Deep learning and generative AI (GenAI) are both advanced AI technologies that use neural networks for various applications, such as image recognition ... audio, text, videos, and code, generative ...

Digital systems are expected to navigate real-world environments, understand multimedia content, and make high-stakes ...

Speech recognition – Voice-activated interfaces and dictation software are made possible by the application of Deep Learning algorithms to translate spoken words into text. Recommender systems ...

Other vision problems besides basic image classification that have been solved with deep learning include image classification with localization, object detection, object segmentation, image style ...

Basically, it “reads” a text by processing different ... tackles the deepfake problem through deep learning that takes anomaly detection to an entirely new level. It can process complex ...

The new system, called Deep Speech 2, is especially significant in how it relies entirely on machine learning for translation. Whereas older voice-recognition ... to input text, and because ...

The three primary uses of machine learning are face detection using Haar, object detection using the histograms of gradient orientation (HoG) and fingerprint recognition. Artificial Intelligence ...

Deep learning employs an algorithm called backpropagation, or backprop, that adjusts the mathematical weights between nodes, so that an input leads to the right output. In speech recognition ...