OnQ Blog
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 - Purposeful innovation
May 5, 2022
3:22
AI Research - Passionate execution
May 5, 2022
2:09
AI Research - Openness
May 5, 2022
2:23
“We are advancing machine learning research across the entire spectrum of topics, including fundamental technology, platform innovation, and applied use cases. Our holistic systems-approach to full-stack AI is accelerating the pipeline from research to commercialization, and together with 5G, we are enabling the connected intelligent edge.”
Jilei Hou
VP Engineering, Qualcomm AI Research
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.
Approach to optimize choreographies of communication and computation for execution of models on AI hardware for learning and inference
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.
AI Model Efficiency Toolkit (AIMET)
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.
Qualcomm AI Research datasets
The better the data you have, the better you can train your AI models. Qualcomm Technologies has published a variety of datasets for research use — everything from hand gesture recognition to humans performing pre-defined, basic actions with everyday objects
Webinar – AI firsts: Leading from research to proof-of-concepts
Apr 28, 2022
1:01:06
Demo: Real-time and accurate self-supervised monocular depth estimation on mobile devices
Mar 4, 2022
6:12
Demo: Federated learning framework for mobile
Mar 4, 2022
4:34
Demo: Real-time neural video decoding on a mobile
Mar 4, 2022
4:58
Demo: Weakly-supervised indoor Wi-Fi
Mar 4, 2022
3:28
Webinar - How AI research is enabling next-gen codecs
Mar 4, 2022
1:01:33
Webinar : Enabling on-device learning at scale
Mar 4, 2022
1:02:34
CVPR 2021 demo: Real-time neural video decoding on a mobile device
Mar 4, 2022
5:17
Webinar - Intelligence at Scale through AI Model Efficiency
Mar 4, 2022
1:01:13
Webinar: Efficient video perception through AI
Mar 4, 2022
1:02:50
NeurIPS 2020 Demo: On-device group-equivariant CNNs
Mar 15, 2022
4:11
NeurIPS 2020 Demo: Efficient semantic segmentation of high-resolution video
Mar 15, 2022
5:11
NeurIPS 2020 Demo: Neural network quantization with AdaRound
Mar 15, 2022
4:04
Webinar - Pushing the boundaries of AI research
Mar 4, 2022
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
Mar 4, 2022
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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