The attention mechanism is becoming increasingly popular in Natural Language Processing
(NLP) applications, showing superior performance than convolutional and recurrent …

Sparse convolution plays a pivotal role in emerging workloads, including point cloud
processing in AR/VR, autonomous driving, and graph understanding in recommendation …

Deep learning on point clouds plays a vital role in a wide range of applications such as
autonomous driving and AR/VR. These applications interact with people in real time on …

3D perception in point clouds is transforming the perception ability of future intelligent
machines. Point cloud algorithms, however, are plagued by irregular memory accesses …

An increasing number of edge systems have large computational demands, stringent
resource constraints, and end-to-end quality-driven goodness metrics. Architects have …

Mobile headsets should be capable of understanding 3D physical environments to offer a
truly immersive experience for augmented/mixed reality (AR/MR). However, their small form …

We develop and commercialize autonomous machines, such as logistic robots and self-
driving cars, around the globe. A critical challenge to our—and any—autonomous machine …

As we enter the era of domain-specific architectures, systems researchers must understand
the requirements of emerging application domains. Augmented and virtual reality (AR/VR) or …

Event cameras have emerged as a promising vision sensor in recent years due to their
unparalleled temporal resolution and dynamic range. While registration of 2D RGB images …

As robots increasingly permeate modern society, it is crucial for the system and hardware
research community to bridge its long-standing gap with robotics. This divide has persisted …