Results for: Machine Learning

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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What’s Next in Image Processing at the Edge with NexOptic

The term image processing encompasses many different tasks, including computational photography, computer vision algorithms, and even basics like image compression. One aspect all of these processes...
https://developer.qualcomm.com/blog/what-s-next-image-processing-edge-nexoptic
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Building Smarter Edge Computing Solutions with Smart Sensors

Edge devices are playing a key role in IIoT, Industry 4.0, and Edge computing in general. Edge devices use sensors to measure and generate data about physical phenomena such as temperature, humidity...
https://developer.qualcomm.com/blog/building-smarter-edge-computing-solutions-smart-sensors
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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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Accelerate your models with our OpenCL ML SDK

Are you using OpenCL to run machine learning workloads on the Qualcomm® Adreno™ GPU? Want to optimize your application and improve performance? Download our OpenCL ML SDK and use our OpenCL extension...
https://developer.qualcomm.com/blog/accelerate-your-models-our-opencl-ml-sdk
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Pushing the Limits of Drones with Skydio Autonomy

Drones hold the potential to touch a myriad of industries, unlock new business outcomes, and deliver countless benefits. This is especially true when legacy methods involve heavy equipment that can...
https://developer.qualcomm.com/blog/pushing-limits-drones-skydio-autonomy
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Deploying robotics applications — Using image segmentation to drive the Turtlebot3 Burger

Image segmentation is a process of subdividing an image into constituent parts or objects for detailed analysis. The resulting high-level information is useful in computer vision applications, like...
https://developer.qualcomm.com/blog/deploying-robotics-applications-using-image-segmentation-drive-turtlebot3-burger
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Exploring Different Types of Neural Networks

Neural networks are fast becoming an essential tool for today’s machine learning (ML) practitioners. In some of our previous blogs on ML, we discussed how a simple, feed-forward neural network works...
https://developer.qualcomm.com/blog/exploring-different-types-neural-networks
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Implementing Machine Learning and Operations (MLOps)

The lifecycle of traditional software is arguably quite straight forward. At its simplest, you develop, test, and deploy the software, and then release a new version with features, updates, and/or...
https://developer.qualcomm.com/blog/implementing-machine-learning-and-operations-mlops
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