An overview of deep learning architectures that help computers detect objects, a key technology used in self-driving cars and healthcare.

Experts say deep learning, which uses mathematical structures called neural networks to pull patterns from massive sets of data, could soon let computers make diagnoses from medical images, detect ...

Scientists at UCL, Google DeepMind and Intrinsic have developed a powerful new AI algorithm that enables large sets of ...

Michael Bronstein, a computer scientist at Imperial College London, coined the term “geometric deep learning” in 2015 to describe nascent efforts to get off flatland and design neural networks ...

With potential to make powerful AI systems more affordable and accessible, UC Santa Barbara computer scientist Arpit Gupta has earned two major research awards from Google to support his development ...

Today, many applications use object-detection networks as one of their main components. It’s in your phone, computer, car, camera, and more.

Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

Inspired from these biological neural networks, scientists started building artificial neural networks so that computers could eventually learn and exhibit intelligence like humans.” ...

Pinpointing how neural activity changes with learning is anything but black and white. Recently, some have posited that learning in the brain, or biological learning, can be thought of in terms of ...

Deep learning programs are able to perceive their world in a way unlike any other computer program, and these companies hope that deep learning programs will one day be able to sort your photos ...