At Qualcomm AI Research, we are advancing AI to make its core capabilities – perception, reasoning, and action – ubiquitous across devices. Our mission is to make breakthroughs in fundamental AI research and scale them across industries. By bringing together some of the best minds in the field, we’re pushing the boundaries of what’s possible and shaping the future of AI.
AI Research Video
Jul 23, 2021
2:46
Efficient architectures and algorithms for understanding images and videos.
Understanding the world through deep learning applied to RF signals.
Model design, compression, quantization, neural architecture search (NAS), compiler algorithms, and efficient hardware.
Foundational AI research like quantum, geometric, and Bayesian deep learning.
Keyword detection, speaker verification, speech recognition, sound detection, and contextual awareness.
Learning low-dimensional representations for data such as video and speech.
Continuous learning, model adaptation, and privacy-preserving distributed learning.
Learning to optimize through supervision, reinforcement learning, and Bayesian optimization.
AI Research Papers
Novel papers are one of the ways Qualcomm Technologies contributes impactful research to the larger community of AI research. Below are papers that Qualcomm AI Research has written or co-authored.
Qualcomm Innovation Center open sourced AIMET, which includes state-of-the-art quantization and compression techniques. The goal for this open source project is to collaborate with other leading AI researchers, provide a simple library plugin for AI developers, and help migrate the ecosystem toward integer inference.
Demo: Real-time and accurate self-supervised monocular depth estimation on mobile devices
Dec 2, 2021
6:12
Demo: Federated learning framework for mobile
Dec 3, 2021
4:34
Demo: Real-time neural video decoding on a mobile
Dec 3, 2021
4:58
Demo: Weakly-supervised indoor Wi-Fi
Dec 3, 2021
3:28
Webinar - How AI research is enabling next-gen codecs
Jul 19, 2021
1:01:33
Webinar : Enabling on-device learning at scale
Oct 29, 2021
1:02:34
CVPR 2021 demo: Real-time neural video decoding on a mobile device
Jun 18, 2021
5:17
Webinar : Intelligence at Scale through AI Model Efficiency
Apr 8, 2021
1:01:13
Webinar: Efficient video perception through AI
Jan 22, 2021
1:02:50
NeurIPS 2020 Demo: On-device group-equivariant CNNs
Dec 3, 2020
4:11
NeurIPS 2020 Demo: Efficient semantic segmentation of high-resolution video
Dec 3, 2020
5:11
NeurIPS 2020 Demo: Neural network quantization with AdaRound
Dec 12, 2020
4:04
Webinar: Pushing the boundaries of AI research
Sep 9, 2020
1:00:23
Webinar: Enabling power-efficient AI through quantization
May 1, 2020
1:01:18
Webinar: 5G+AI: The Ingredients Fueling Tomorrow's Technology Innovations
Feb 19, 2020
58:52
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.
Qualcomm AI Research is an initiative of Qualcomm Technologies, Inc.
AI Model Efficiency Toolkit is a product of Qualcomm Innovation Center, Inc.
Qualcomm Innovation Center, Inc. is a wholly-owned subsidiary of Qualcomm Technologies, Inc.
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