Deep learning is currently used most commonly for image recognition, natural language processing (NLP), and speech ...

Google is one of the pioneers of artificial intelligence (AI). In this article we look at the amazing ways Google is using the most cutting edge AI – deep learning – in many of its operations ...

Figure: Schematic illustrating the concept of neural network-based image processing and reconstruction of compromised photonic data in terms of resolution, sampling density, and SNR. Deep learning ...

Deep learning is currently used most commonly for image recognition, natural language processing (NLP), and speech recognition. Digital assistants, like Siri, Cortana, and Alexa, are some of the ...

Companies like Microsoft and Google use deep learning to solve difficult problems in areas such as speech recognition, image recognition, 3-D object recognition, and natural language processing.

Deep learning models are typically powered with graphics processing units (GPUs), specialized chips, and other infrastructure components that can be quite expensive, especially at the scale that ...

Deep learning enables numerous applications, including video analytics, natural language processing and language recognition, computer vision, and image colorization. Adams notes that agencies can ...

To validate the new deep learning technique, the researchers used it on 100 test images. They analyzed two commonly used image processing metrics: the peak signal-to-noise ratio and the structural ...