AI Research
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.
Neurips
Jan 29, 2026 | 1:30
Leading research and development across the entire spectrum of AI
Our key AI research papers
To develop impactful breakthroughs, our researchers aim to create the new state of the art in several key areas of AI research. Novel papers are one of the ways that we contribute impactful research to the larger AI community. Click below to view papers, as well as those papers with code.
Computer vision
Efficient architectures and algorithms for understanding images and videos.
Machine learning fundamentals
Foundational AI research like quantum, geometric, and Bayesian deep learning.
Neural Reasoning and Embodied AI
Causality, learning-to-search, and interaction with AI agents, robotics, reinforcement and imitation learning.
Wireless and RF Sensing
Understanding the world through deep learning applied to RF signals.
Power and Model Efficiency
Model design, compression, quantization, neural architecture search (NAS), compiler algorithms, and efficient hardware.
Speech, audio, and language processing
Keyword detection, speaker verification, speech recognition, sound detection, and contextual awareness.
Personalization and On-Device
Continuous learning, model adaptation, and privacy-preserving distributed learning.
Optimization and reinforcement learning
Learning to optimize through supervision, reinforcement learning, and Bayesian optimization.
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.
“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. We are excited by the potential of generative AI to transform our experience with technology.”
Jilei Hou
SVP Engineering, Qualcomm AI Research
We’re hiring.
Are you a machine learning specialist eager to start a new challenge? Are you a student looking to impact the global AI industry? Come join us as we make AI breakthroughs.
The future of AI is hybrid.
As generative AI adoption grows at record-setting speeds and drives higher demand for compute, AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential. Beyond cost, a hybrid AI architecture offers the additional benefits of performance, personalization, privacy, and security. The cloud and edge devices work together to deliver more powerful, efficient, and highly optimized AI. The hybrid AI approach is applicable to virtually all generative AI applications and device segments – including phones, laptops, XR headsets, cars, and IoT.
We are making hybrid AI a reality.
Qualcomm is enabling intelligent computing everywhere. As the on-device AI leader, Qualcomm Technologies is uniquely positioned to scale hybrid AI with industry-leading hardware and software solutions across billions of edge devices. Our hardware offers industry-leading performance per watt, and our perpetual flywheel of innovation keeps us at the forefront of on-device AI solutions. With our technology leadership, global scale, and ecosystem enablement, Qualcomm Technologies is making hybrid AI a reality.
Presentation - What's next in on-device AIMay 30, 2024
Presentation - Quantization: unlocking scalability for large language modelsJun 13, 2024
Presentation — Efficient generative AI for images and videosJan 25, 2024
Presentation — Generative AI at the edgeNov 9, 2023
Presentation — Making AI ubiquitousOct 1, 2023
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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.
