New Coral APIs and tools for AI at the edge

Fall has finally arrived and with it a new release of Coral's C and Python APIs and tools, along with new models optimized for the Edge TPU and further support for TensorFlow 2.0-based workflows. Coral is a complete toolkit to build products with local AI. Our on-device inferencing capabilities allow you to build products that are efficient, private, fast and offline with the help of TensorFlow Lite and the Edge TPU. From the beginning, we've provided APIs in Python and C that enable developers to take advantage of the Edge TPU's local inference speed. Offline processing for machine learning models allows for considerable savings on bandwidth and cloud compute costs, it keeps data local, and it preserves user privacy.