What is AI inference at the edge?
https://www.electronics-lab.com/what-is-ai-inference-at-the-edge/
The conventional style of using network connectivity in bringing artificial intelligence models to improve performance and efficiency needs some modification to meet the demands from the embedded systems to the automobile industry. Before directly jumping to the role of AI inference at the edge, let us understand the difference between training and inference. Machine learning […]
Explore AI capabilities on Raspberry Pi Zero W with Google’s Coral USB Accelerator
https://www.electronics-lab.com/explore-ai-capabilities-on-raspberry-pi-zero-w-with-googles-coral-usb-accelerator/
For real-time AI applications, it is important to process incoming data using a trained neural network model. For faster data processing, the introduction to AI inference at cloud did support many aspects, increasing efficiency, but the need to process the data at the end device has become vital. To serve this purpose, we have AI […]
AI with Google Coral TPU and Gateworks SBCs
https://www.electronics-lab.com/ai-google-coral-tpu-gateworks-sbcs/
Artificial Intelligence (AI) & Machine Learning (ML) are shaping and advancing complex automated technology solutions. Having these capabilities integrated into hardware allows for solutions that can recognize objects in an image, analyze and detect abnormalities in patterns or find key phrases. These functionalities can be paramount for applications including, but not limited to, autonomous vehicles […]
e-con Systems Launches Camera Support for Google Coral Development Board
https://www.electronics-lab.com/e-con-systems-launches-camera-support-google-coral-development-board/
e-con Systems Inc., a leading embedded camera solutions company, today announced the launch of e-CAM50_CUCRL, a 5 MP camera board for Coral development kit from Google. e-CAM50_CUCRL houses e-con’s popular e-CAM55_CUMI0521_MOD camera module and can be directly plugged on to the Coral development kit using the supplied accessories. The camera software driver is V4L2 compliant […]