Understanding Deep Learning. To understand deep learning and how it differs from machine learning, you need to understand ...

Deep learning works by using multilayered neural networks. To make sense of the data they are fed, such as photos, neural ...

Jonathan EnudemeJonathan Enudeme Imagine finding yourself lost in a foreign land where no one speaks English or your native language. The streets are unfamiliar, and every turn leads you deeper into ...

The artificial intelligence (AI) machine AlphaGo astounded the world by beating world go champion Lee Se-dol in the first ...

Noise in confocal images is overwhelmingly a result of shot noise; this makes confocal images an ideal target for deep learning,as the source of noise is essentially constrained to one source.

This deep learning-based approach provides an entirely new framework to conduct holographic imaging by rapidly eliminating twin-image and self-interference-related spatial artifacts. This neural ...