Results for: Machine Learning
Innovative Solutions from the 2021 AI Developer Conference
The Qualcomm AI Developer Conference was held in September 2021 in Chengdu, China, and the theme this year was presenting a new era of the intelligent interconnection of technologies. Heng Xu, Sr....
https://developer.qualcomm.com/blog/innovative-solutions-2021-ai-developer-conferenceTags:
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-aimetTags:
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-droneTags:
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-nexopticTags:
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-sensorsTags:
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-learningTags:
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-sdkTags:
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-autonomyTags:
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