Google releases source code of new on-device machine learning solutions ZDNet

Google has opened up the source code of two machine learning (ML) on-device systems, MobileNetV3 and MobileNetEdgeTPU, to the open source community. In a blog post, software and silicon engineers Andrew Howard and Suyog Gupta from Google Research said on Wednesday that both the source code and checkpoints for MobileNetV3, as well as the Pixel 4 Edge TPU-optimized counterpart MobileNetEdgeTPU, are now available. On-device ML applications for responsive intelligence have been designed with power-limited devices in mind, including our smartphones, tablets, and Internet of Things (IoT) electronics. Google says the demand for mobile intelligence has prompted research into algorithmically-efficient neural network models and hardware "capable of performing billions of math operations per second while consuming only a few milliwatts of power," such as in the case of the Google Pixel 4's Pixel Neural Core. The latest MobileNet offerings include improvements to architectural design, speed, and accuracy, Google says.