Results for: Edge Computing

ML training at the edge: Training on mobile devices

You can get a lot of innovation out of running machine learning inference on mobile devices, but what if you could also train your models on mobile devices? What would you invent if you could fine-...
https://developer.qualcomm.com/blog/ml-training-edge-training-mobile-devices
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NeurIPS 2021: Discover our latest breakthroughs in AI

Qualcomm AI Research showcases its cutting-edge advancements in machine learning The pace of machine learning advancement continues at an astounding rate, and it’s that time of year again for AI...
https://developer.qualcomm.com/blog/neurips-2021-discover-our-latest-breakthroughs-ai
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Inspiration for Gamifying IoT Applications

Gamifying your app can potentially increase user engagement and incentivize your users to reach their goals as well as those of your organization. Now, as developers and others see the benefits,...
https://developer.qualcomm.com/blog/inspiration-gamifying-iot-applications
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Neural Network Optimization with AIMET

To run neural networks efficiently at the edge on mobile, IoT, and other embedded devices, developers strive to optimize their machine learning (ML) models' size and complexity while taking advantage...
https://developer.qualcomm.com/blog/neural-network-optimization-aimet
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5G, 8K video, up to 7 cameras and 15 TOPS of processing on a drone

How many times have you said, “If I had a drone with 5G, seven-camera concurrency, 8K video and 15 TOPS of processing, I could . . .” Whatever you’ve told yourself you could do with features like...
https://developer.qualcomm.com/blog/5g-8k-video-7-cameras-and-15-tops-processing-drone
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Training ML Models at the Edge with Federated Learning

Centralized machine learning (ML) is the ML workflow that most of us are familiar with today, where training is allocated to powerful servers which update model parameters using large datasets. The...
https://developer.qualcomm.com/blog/training-ml-models-edge-federated-learning
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New projects for video capture/playback and AI on QCS610

Start and stop video recording through an Azure IoT hub. Send the status of your camera recordings to the AWS IoT console. Use GStreamer plug-ins to record [email protected], [email protected] and 1080p video...
https://developer.qualcomm.com/blog/new-projects-video-captureplayback-and-ai-qcs610
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Rapid VUI Prototyping with Sensory’s VoiceHub

Introduction It’s quite amazing to think the first voice-controlled user interface, the Audrey system, was built by Bell Labs back in 1952 – although it only recognized ten digits spoken by a single...
https://developer.qualcomm.com/blog/rapid-vui-prototyping-sensory-s-voicehub
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Pushing the Limits of Smart Audio Solutions with StreamUnlimited

The opportunity for wireless audio devices is experiencing rapid growth, with the smart speaker segment alone projected to reach $19 billion in revenue by 2027. Factors driving the evolution of these...
https://developer.qualcomm.com/blog/pushing-limits-smart-audio-solutions-streamunlimited
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On-device AI with Developer-Ready Software Stacks

Are you still running your artificial intelligence workloads in the cloud? That may make sense for training your models, but if your applications depend on techniques like person detection and...
https://developer.qualcomm.com/blog/device-ai-developer-ready-software-stacks

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