Qualcomm AI Research

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.

Life at Qualcomm AI Research

AI Research - Purposeful innovation

May 5, 2022


AI Research - Passionate execution

May 5, 2022


AI Research - Openness

May 5, 2022


“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

Leading research and development across the entire spectrum of AI

Our key AI research areas

Computer vision

Efficient architectures and algorithms for understanding images and videos.

Wireless and RF Sensing

Understanding the world through deep learning applied to RF signals.

Power efficiency

Model design, compression, quantization, neural architecture search (NAS), compiler algorithms, and efficient hardware.

Machine learning fundamentals

Foundational AI research like quantum, geometric, and Bayesian deep learning.

Speech, audio, and language processing

Keyword detection, speaker verification, speech recognition, sound detection, and contextual awareness.

Data compression and generative modeling

Learning low-dimensional representations for data such as video and speech.

Personalization and federated learning

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

Optimization and reinforcement learning

Learning to optimize through supervision, reinforcement learning, and Bayesian optimization.

AI compilers and algorithms

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.

Open collaboration with the AI community

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


Demo: Real-time and accurate self-supervised monocular depth estimation on mobile devices

Mar 4, 2022


Demo: Federated learning framework for mobile

Mar 4, 2022


Demo: Real-time neural video decoding on a mobile

Mar 4, 2022


Demo: Weakly-supervised indoor Wi-Fi

Mar 4, 2022


Webinar - How AI research is enabling next-gen codecs

Mar 4, 2022


Webinar : Enabling on-device learning at scale

Mar 4, 2022


CVPR 2021 demo: Real-time neural video decoding on a mobile device

Mar 4, 2022


Webinar - Intelligence at Scale through AI Model Efficiency

Mar 4, 2022


Webinar: Efficient video perception through AI

Mar 4, 2022


NeurIPS 2020 Demo: On-device group-equivariant CNNs

Mar 15, 2022


NeurIPS 2020 Demo: Efficient semantic segmentation of high-resolution video

Mar 15, 2022


NeurIPS 2020 Demo: Neural network quantization with AdaRound

Mar 15, 2022


Webinar - Pushing the boundaries of AI research

Mar 4, 2022


Webinar: Enabling power-efficient AI through quantization

May 1, 2020


Webinar: 5G+AI: The Ingredients Fueling Tomorrow's Technology Innovations

Mar 4, 2022



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.

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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.