New BRN, neuromorphic media article, page-105

Some nice paragraphs

So, for example, an Akida-powered smart doorbell outfitted with a camera, would be able to augment a facial recognition model to learn the faces of your family and friends, while the same device next door would be able to learn a different set of faces. That capability can be generalized across all sorts of applications where personalized unsupervised learning could be useful, like keyword spotting, gesture detection, and cybersecurity


At this point, Levinson said they are more focused on AI edge applications in industrial sensors, like smart city IoT, and similarly specialized applications that aren’t amenable to off-the-shelf solutions. While they believe the technology would be eminently suitable for smartphone AI applications, it’s a much longer-term effort to gain entrance into that particular supply chain. At the other end of the market, Levinson believes Akida also has a place in edge servers, which are increasingly being deployed in manufacturing and telco environments.We shouldn’t have to wait too much longer to see which customer or customers take the first bite of the neuromorphic apple. The company is on the verge of taping out its chip, with shipments planned for the second quarter of the year. Stay tuned.

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