Today, more intelligence is moving to end devices, and mobile is becoming the pervasive AI platform. Building on the smartphone foundation and the scale of mobile, Qualcomm envisions making AI ubiquitous—expanding beyond mobile and powering other end devices, machines, vehicles, and things. We are inventing, developing, and commercializing power-efficient on-device AI, edge cloud AI, and 5G to make this a reality.
AI enables devices and things to perceive, reason, and act intuitively. Drawing inspiration from the human brain, AI will expand our human abilities by serving as a natural extension of our senses. It will also personalize our experiences through seamless interactions in our everyday life.
Gartner predicts that by 2021, AI augmentation will create $3.3 trillion of business value. On-device intelligence, along with cloud inference, is a key part of achieving these benefits across industries. On-device AI processing offers many benefits, including user privacy, immediacy, enhanced reliability, and efficient use of network bandwidth. The pace, scale, and high integration that drive the mobile industry will allow AI to scale to trillions of devices. The power-efficient AI technology that we research and develop is fundamental across industries and products, spanning from smartphones and automotive to the IoT and data centers.
With over a decade of AI research and development, we are creating the essential components to scale AI across industries. To make AI ubiquitous, we are focused on efficient hardware, algorithmic advancements, and software tools. Our research is diverse, and we are keenly focused on power efficiency and personalization to make AI seamless across our everyday experiences.
Power efficiency is essential for AI. We research deep learning techniques for power-efficient implementations across hardware, algorithms, and software.
Personalization is essential for superior user experiences. We research continuous learning techniques that allow adaption to user behavior and preferences.
Our technology inventions are not only driving power efficient AI, but are also leading the world to 5G—the foundation for an intelligently connected future. The combination of these two technology platforms, led by Qualcomm, will scale intelligence to trillions of connected things.
With our industry-leading technology in 5G and low-power heterogeneous computing, we are well positioned to lead the AI revolution. We’ve introduced a broad portfolio of products across a variety of industries to make AI ubiquitous. From efficient AI hardware and software to comprehensive software development kits, we are collaborating with the industry to bring exciting new experiences to the world.
The Qualcomm® Vision Intelligence Platform brings powerful visual computing and edge computing for machine learning to a variety of IoT devices.
Discover our AI software development kits, documentation, forum, and other resources to kickstart your projects from the Qualcomm Developer Network.
Qualcomm Innovation Center open sourced the AI Model Efficiency Toolkit (AIMET), which includes state-of-the-art quantization and compression techniques.
Webinar : Enabling on-device learning at scale
Oct 29, 2021
Webinar - How AI research is enabling next-gen codecs
Jul 19, 2021
Webinar : Intelligence at Scale through AI Model Efficiency
Apr 8, 2021
Webinar: Efficient video perception through AI
Jan 22, 2021
Webinar: Pushing the boundaries of AI research
Sep 9, 2020
Webinar: Enabling power-efficient AI through quantization
May 1, 2020
Webinar: 5G+AI: The Ingredients Fueling Tomorrow's Technology Innovations
Feb 19, 2020
Leading Research Across the AI Spectrum
Feb 11, 2020
Webinar: How will 5G + AI Transform the Wireless Edge
Feb 12, 2020
Webinar: Transforming the In-Vehicle Experience with Artificial Intelligence
Sep 25, 2018
Accelerating algorithmic and hardware advancements for power-efficient on-device AI
Aug 21, 2018
Making an on-device personal assistant a reality
Aug 21, 2018
Webinar - Making On-Device AI Ubiquitous
May 14, 2018
CV2X CES Auto Demonstrations
Apr 21, 2020
Apr 21, 2020
BMW Qualcomm CES Demonstration Video
Apr 21, 2020
Webinar recording: How NR-based sidelink expands 5G C-V2X to support new advanced use cases
Mar 31, 2020
Jan 12, 2018