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Xnor.ai is a spin-out of the AI2 incubator started by late Paul Allen, one of the co-founders of Microsoft. In 2017, the company got a seed funding of $2.5 million from Madrona Ventures which ...
Xnor.ai’s head of hardware engineering, Saman Naderiparizi, worked with his colleagues to figure out a way to fit the software onto an FPGA chip that costs a mere $2, ...
XNOR.ai CEO Ali Farhadi says $12 million in new investment will go toward getting a self-service AI software development platform ready for prime time.
Apple has acquired Xnor.ai, an AI company that previously partnered with Wyze to enable person detection. Unfortunately for some Wyze owners, the feature is disappearing with the latest firmware ...
Xnor pioneers new machine learning and computer architecture approach to deliver an efficient AI technology that operates independently of the cloud or a power source - opening new possibilities ...
Xnor’s saltine-sized, solar-powered AI hardware redefines the edge “Generic platforms let you train your own models, but in lots of businesses and applications you don’t need to — there ...
"If AI is so easy, why isn't there any in this room?" asks Ali Farhadi, founder and CEO of Xnor, gesturing around the conference room overlooking Lake Union in Seattle. And it's true — despite a ...
Xnor.ai was spun out of the Allen Institute for AI by Professor Ali Farhadi and Dr. Mohammed Rastegari in 2017. These men were also responsible for YOLO, YOLO9000, ...
If Xnor.ai could transform a tiny $20 camera with Edge AI, imagine what it could do for Siri and the iPhone. Let’s go a step further.
Xnor.ai joined Akonia’s ranks as a valuable target when it made Forbes’s list of most promising AI companies this past September. Xnor.ai’s technology should give Apple edge computing capabilities ...
Xnor.ai today launched AI2Go, a platform that lets developers and manufacturers make prebuilt AI models optimized for on-device artificial intelligence. AI2Go is designed for state-of-the-art edge ...
Xnor.ai today introduced a device capable of running state-of-the-art computer vision algorithms on the edge with a small solar cell and no battery. Skip to main content.