Coinciding with Coral’s general availability, the Coral website — which now lives at Coral.ai — has been revamped with better organization for docs and tools, testimonials, and “industry-focused” pages. Additionally, it links to a new set of examples aimed at providing solutions to common AI problems, such as image classification, object detection, pose estimation, and keyword spotting.
Lastly, Google says it’ll soon release a new version of the Mendel operating system that updates the system to the latest version of Debian (Buster), and it says it’s hard at work on updates to the Edge TPU compiler and runtime that’ll improve the model development workflow.
“We’ve received a lot of feedback over the past six months and used it to improve our platform,” wrote Coral product manager Vikram Tank. “Coral is also at the core of new applications of HUC99 local AI in industries ranging from agriculture to health care to manufacturing … [It’s] already delivering impact across industries, and several of our partners are including Coral in products that require fast ML inferencing at the edge.”
For the uninitiated, the Coral Dev Board is a miniature computer featuring a removable system-on-module with one of its custom tensor processing unit (TPU) AI chips. As for the Coral USB Accelerator, it’s a USB dongle designed to speed up machine learning inference on existing Raspberry Pi and Linux systems.
TPUs are application-specific integrated circuits (ASICs) developed specifically for neural network machine learning. The first-generation design was announced in May at Google I/O, and the newest — the third generation — was detailed in May of last year.