An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare. Skip to main content. Events Video Special Issues Jobs ...

KEY TAKEAWAYS. Deep learning focuses on predicting or classifying data, while generative AI creates new content. (Jump to Section)Common deep learning techniques include CNNs, RNNs, and LSTMs.

As deep learning migrates into smartphones and wearable devices, the need for a smarter, more intuitive user experience is changing the design needs of engineers, specifically with smaller SoCs ...

Example Google: The deep learning trailblazer. Alphabet (GOOG-0.37%) (GOOGL-0.37%) and its Google arm have been superstars of deep learning for many years. You'll find neural networks behind the ...

Deep learning is rapidly ‘eating’ artificial intelligence. But let's not mistake this ascendant form of artificial intelligence for anything more than it really is. The famous author Arthur C ...

The deep learning system demonstrated an AUC of 0.97, a sensitivity of 91.1%, a specificity of 93.4% and an accuracy of 92.6%. The system misclassified only 7.3% of images.

Deep-learning system uses smartphone camera for heart rate monitoring. Story by Bob Yirka • 1mo. A team of medical researchers and engineers at Google Research has developed a way to use the ...

The new system, called Deep Speech 2, is especially significant in how it relies entirely on machine learning for translation. Whereas older voice-recognition systems include many handcrafted ...