What you can do with AI at the edge

Xnor.ai Introduces: Ocean Recognition

I bet this sounds familiar: “What the heck is that body of water I’m looking at right now?  I can’t tell if that’s just a really big lake or an ocean!” It’s a question we have all asked.  The realities of that question…

Auto-evolution: the surprising things cars can do with AI at the Edge

I’ve loved cars since I was a little boy. From classic cars to custom hot rods, I loved them all, but I was especially fascinated by the futuristic vehicles featured on TV. Depending on which generation you identify with, you might remember…
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How Retailers Can Get a Competitive edge with the Next Generation in AI

Search for the term “the future of retailing” and you’ll see plenty of stories about physical retailers being marginalized by their dot-com counterparts. Some would say that physical stores are fading from the retail landscape. Quaint,…
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Upgrade Smart Appliances with the Next Generation in AI for Food Detection

Mention Smart Appliance, and most people think of using a smartphone to turn on house lights as they pull in the driveway, arm security systems, control thermostats, or check if Amazon left a package on the front porch. Initially, that level…
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AI at the Edge: Accurate Face Recognition on Resource-Constrained Devices with Xnor.ai

  2010 was a milestone year for face recognition. That’s when Facebook introduced a photo tagging feature with the ability to identify individuals in a photograph by matching faces to the pictures stored in a user’s profile. The…
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How Xnor.ai Enables Object Detection at the Edge

Machine vision has long been the holy grail to unlocking a number of real-world use cases for AI - think of home automation and security, autonomous vehicles, crop picking robots, retail analytics, delivery drones or real time threat detection.…