Results for: Machine Learning

Accelerate your AI workloads with Windows on Snapdragon

From health care to education and manufacturing, AI use cases grow exponentially. Developers choose popular AI Frameworks like PyTorch and TensorFlow to analyze predictions, train models, leverage...
https://developer.qualcomm.com/blog/accelerate-your-ai-workloads-windows-snapdragon
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Generating 3D scenes from 2D images more efficiently – Mobile NeRF rendering using Vulkan on Adreno GPU

Co-written with Aleksandra Krstic, Alex Bourd and Shuaib Arshad. Suppose you came home from vacation with a few dozen photos from different perspectives of the Eiffel Tower or the Taj Mahal or...
https://developer.qualcomm.com/blog/generating-3d-scenes-2d-images-more-efficiently-mobile-nerf-rendering-using-vulkan-adreno-gpu
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Power-efficient acceleration for large language models – Qualcomm Cloud AI SDK

Want to accelerate your large language model (LLM) inference workloads without blowing your power budget? Or your cooling budget? The Qualcomm Cloud AI 100 performs AI inference on the edge cloud...
https://developer.qualcomm.com/blog/power-efficient-acceleration-large-language-models-qualcomm-cloud-ai-sdk
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Give your Hybrid AI the edge with Windows on Snapdragon

Today, AI is everywhere, and generative AI is being touted as its killer app. We are seeing large language models (LLMs) like ChatGPT, a generative pre-trained transformer, being applied in new and...
https://developer.qualcomm.com/blog/give-your-hybrid-ai-edge-windows-snapdragon
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AI for Qualcomm Compute: How to add AI to your Windows on Snapdragon App

Windows on Snapdragon is the next-generation Windows platform. Powered by Qualcomm Technologies’ mobile compute platforms like the Snapdragon 8cx Gen 3, Windows on Snapdragon offers powerful...
https://developer.qualcomm.com/blog/ai-qualcomm-compute-how-add-ai-your-windows-snapdragon-app
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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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AWS Smart Manufacturing at the Connected Intelligent Edge

We have conversations all the time with people trying to understand the business value of combining cloud computing and edge computing. And when we show them an application like the AWS IoT...
https://developer.qualcomm.com/blog/aws-smart-manufacturing-connected-intelligent-edge
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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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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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Building computer vision, artificial intelligence, and heterogeneous computing into your robots

When you look at your robotics application, do you think of it as an “intelligent-edge use case?” Probably not, but that’s where it plays. The intelligent edge of the network offers your devices...
https://developer.qualcomm.com/blog/building-computer-vision-artificial-intelligence-and-heterogeneous-computing-your-robots
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