Results for: Artificial Intelligence

Updating Deep Learning Models Right on the Mobile Device — Transfer Learning and Fine-Tuning

“It’s a good model,” you say, thinking about the model you’ve trained in the cloud for your machine learning application. “I just wish we could fine-tune it on the user’s device.” Now you can do...
https://developer.qualcomm.com/blog/updating-deep-learning-models-right-mobile-device-transfer-learning-and-fine-tuning
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Why Snapdragon Spaces is a big deal for AR Development

We believe that lightweight headworn AR glasses are poised to become the next evolution of the smartphone. They offer even more immersive experiences than 2D screens and will transition users from...
https://developer.qualcomm.com/blog/why-snapdragon-spaces-big-deal-ar-development
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Distributed Computing Across the Edge and the Cloud

Today, edge devices are everywhere, with tens of billions more expected to be deployed in the coming years. They are used for everything from measuring temperatures and tracking assets to controlling...
https://developer.qualcomm.com/blog/distributed-computing-across-edge-and-cloud
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Dreams of Sci-Fi: How the Ideas of Yesterday Become the Reality of Today

What do on-demand language translation, self-driving cars, and video calls have in common? They’re all examples of today’s ubiquitous technology that was once the figment of science fiction (sci-fi...
https://developer.qualcomm.com/blog/dreams-sci-fi-how-ideas-yesterday-become-reality-today
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A Virtual Showcase of the Open-source Development Model

For Linux developers who build low-level kernel and driver solutions, the open-source development model plays a key role in helping to drive innovation forward. This model allows you to take...
https://developer.qualcomm.com/blog/virtual-showcase-open-source-development-model
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AR and Snapdragon Spaces: From Theory to Practice

Augmented reality (AR) has evolved to the point where we think lightweight headworn AR glasses are poised to become the next evolution of the smartphone. This lets users view their surroundings...
https://developer.qualcomm.com/blog/ar-and-snapdragon-spaces-theory-practice
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Accelerate your machine learning networks using TVM and the Adreno OpenCL ML APIs on Adreno GPUs

You like running your machine learning (ML) workloads with the Qualcomm Adreno OpenCL ML SDK on Adreno GPUs. But you also want to use the optimized kernel library for Adreno, with the kind of end-to-...
https://developer.qualcomm.com/blog/accelerate-your-machine-learning-networks-using-tvm-and-adreno-opencl-ml-apis-adreno-gpus
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Snapdragon Spaces: An OpenXR Implementation for Developing Headworn AR Experiences

In our recent blog post, The Architecture of Snapdragon Spaces, we discussed the features and benefits of our Snapdragon Spaces XR Developer Platform for developing headworn AR experiences. We also...
https://developer.qualcomm.com/blog/snapdragon-spaces-openxr-implementation-developing-headworn-ar-experiences
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Demonstrating the Connected Intelligent Edge at Embedded World

The international embedded computing community marked its 20th anniversary with this year’s Embedded World conference in Nuremberg. At our booth, innovative companies from around the globe exhibited...
https://developer.qualcomm.com/blog/demonstrating-connected-intelligent-edge-embedded-world
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Autonomous Mobile Robots: What do I need to know to design one?

Are you looking for ways to start your company’s robotics development? Or are you already developing robots, and you’re looking for ways to make them smarter? Either way, I have three words for you...
https://developer.qualcomm.com/blog/autonomous-mobile-robots-what-do-i-need-know-design-one
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