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 ...

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

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 ...

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

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 ...

What are convolutional neural networks in deep learning? Convolutional neural networks are used in computer vision tasks, which employ convolutional layers to extract features from input data.

Philipp Strack, director of the Computer Science and Economics interdepartmental degree program, talks about how the program bridges these critical fields.

Computer Vision and Pattern Recognition (CVPR), virtual, 2020. Marginalized Average Attentional Network For Weakly-Supervised Learning. Yuan Yuan, Yueming Lyu, Xi Shen, Ivor W. Tsang and Dit-Yan Yeung ...