Qualcomm AI Research Introduction

Jun 8, 2018


Our key AI research areas

Power efficiency

Model design, compression, quantization, activation, algorithms, and efficient hardware. 


Continuous learning, model adaptation, and privacy-preserved distributed learning.

Efficient learning

Robust learning through minimal data, unsupervised learning, and on-device learning.

System architecture

Multi-task and multi-modal learning, sensor fusion, and cloud-edge systems.

Leading research and development across the entire spectrum of AI

We’re hiring.

Are you a machine learning specialist eager to start a new challenge and have a global impact on the industry? Come join us as we make AI breakthroughs.