Google Coral is a line of cheap computing hardware to help hackers build AI-powered gadgetry, making it easier to experiment with edge computing.
, which is mega-popular among hackers as an easy and cheap way to build experimental hardware and other oddities.The processor on the Google Coral developer board is an Edge TPU, a chip specifically designed by the search giant to bring AI to low-powered devices like cameras and home appliances. It's also designed to run TensorFlow Lite, a version of Google's very popular open source AI framework designed, again, for low-powered devices.
, you'll need much more powerful hardware for that. Rather, these are good for putting those algorithms to work, and helping gather the real-world data to refine them. And this may be the real significance of Google Coral, as the company looks to stake its claim in so-calledThe CEO of Hewlett Packard Enterprise tells us why the company is 'under-appreciated' and how it can beat Amazon in a market that's bigger than cloud computing
The big idea behind edge computing is to bring more intelligence to devices like phones, TVs, appliances, factory robots, and even self-driving cars and other vehicles. While the cloud brings unprecedented levels of supercomputing power to anything with an internet connection, there's a serious latency problem; you don't want your self-driving car waiting to get a response from the server while it figures out whether to stop at a traffic light.
The solution, then, is to give the device enough computing power to make decisions on its own. The massive processing power of the cloud can help formulate, analyze, improve, and generally fine-tune the algorithm, while the device itself has enough AI to run the algorithm quickly and accurately.
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