As Kara Kennedy, market director at G2, noted over two years ago:
"Edge computing is evolving around the developing need to move much of the processing nearer to IoT sensors themselves to decrease that latency and improve efficiency."
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What is edge computing? |
Last week, we saw just how serious Apple is about making this a reality. The company acquired Xnor.ai, a startup focused on on-device AI, for a cool $200 million. Founded in 2017, Xnor.ai was born inside the Allen Institute for Artificial Intelligence, a startup incubator founded by Microsoft cofounder Paul Allen.
Although Apple has not revealed its big plans for how the company will leverage Xnor.ai’s technology, we can think of a couple of exciting frontiers.
There are two key ways that Apple can incorporate this technology into its broader tech stack, providing users with a quicker, more powerful product.
Another upside of the above is data privacy. Processing voice and image data locally allows one to feel safe and secure that their data is in their own hands and not that of a large corporation.
For another approach to edge computing for AI, have a look at Google’s Coral project, a complete toolkit to build products with local AI.
“Coral is a platform of hardware and software components from Google that help you build devices with local AI — providing hardware acceleration for neural networks ... right on the edge device.”
— Vikram Tank, product manager at Coral
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