Qualcomm has spent the past decade conducting AI research to make AI more power-efficient and ubiquitous across industries. Power efficiency is imperative for AI because it will make technology more sustainable in the future, a top priority for Qualcomm.

AI is already a part of our everyday lives, but to make it ubiquitous, Qualcomm is focused on developing efficient hardware, algorithmic advancements, and software tools for its OEMs.

In this video, Qualcomm researchers go into detail about the various AI problems they’re trying to solve — from power efficiency in neural networks to model efficiency to computer vision and speech recognition technology — providing context on the real-world implications of their work.

AI research at Qualcomm is scalable across industries — from smartphones and automotive to IoT and cloud solutions. The benefits of Qualcomm AI research are manifold, including user privacy, enhanced reliability, and more efficient use of network bandwidth thanks to on-device AI and devices connected at the intelligent edge.

Because Qualcomm has long standing relationships with significant OEMs across the globe, it has a deep understanding of the AI problems these OEMs need to solve. Qualcomm envisions a world where everything is intelligently connected, and the prime focus of its AI research — increased power efficiency along with more intelligent on-device learning — is making that a reality.

AI applications and devices will revolutionize industries, shape the future of transportation, present new opportunities for smart homes and cities, fuel the metaverse, and power tomorrow’s factories. And Qualcomm AI leadership will help make AI ubiquitous.

Learn more about Qualcomm AI research: [ Ссылка ]

Read Qualcomm AI research papers: [ Ссылка ]

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