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

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 ...

Basic familiarity with deep learning, including convolutional neural networks, LSTMs, and attention mechanisms, understand essential deep learning framework including tensorFlow and pyTorch. Study of ...

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

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

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 ...

Artificial intelligence researchers have celebrated a string of successes with neural networks, computer programs that roughly mimic how our brains are organized. But despite rapid progress, neural ...

Historically, learn-to-code efforts have provided opportunities for the few, but new efforts are aiming to be inclusive.