Results for: edge computing
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-modelTags:
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-edgeTags:
Cloud Connectivity Planning Considerations for IoT Edge Devices
Today’s intelligent IoT edge devices can utilize cellular and Wi-Fi to connect with the cloud for reliable high-bandwidth and low-latency connectivity. But incorporating wireless connectivity into...
https://developer.qualcomm.com/blog/cloud-connectivity-planning-considerations-iot-edge-devicesTags:
Embedded IoT Device Protection: Physical Protection for the Real World
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From rain and snow to searing heat and everything in between, embedded IoT devices can face a difficult life in the great outdoors, and so can be designed with an encasement to physically...
https://developer.qualcomm.com/blog/embedded-iot-device-protection-physical-protection-real-worldTags:
Exploring AIMET’s Quantization-aware Training Functionality
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In Exploring AIMET’s Post-Training Quantization Methods, we discussed Cross-layer Equalization (CLE), Bias Correction, and AdaRound in AIMET. Using these methods, the...
https://developer.qualcomm.com/blog/exploring-aimet-s-quantization-aware-training-functionalityTags:
Exploring AIMET’s Post-Training Quantization Methods
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Usually, when you’re presented with three options, such as powerful, efficient, and low cost, you’re also faced with the conundrum where you’re only allowed to pick one...
https://developer.qualcomm.com/blog/exploring-aimet-s-post-training-quantization-methodsTags:
Implementing the Connected Intelligent Edge in Smart Connected Spaces
Cities, agricultural lands, remote environments (e.g., streams), and buildings are all examples of environments where IoT technology is transforming them into smart connected spaces. The main aspect...
https://developer.qualcomm.com/blog/implementing-connected-intelligent-edge-smart-connected-spacesTags:
IoT Collaboration with the Veea Edge Platform and the Rural Cloud Initiative
IoT and edge-cloud deployments can open up new possibilities to facilitate new business models and unlock societal benefits that serve the greater good. Rural environments in particular, are in need...
https://developer.qualcomm.com/blog/iot-collaboration-veea-edge-platform-and-rural-cloud-initiativeTags:
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-applicationsTags:
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