Running Ekkono's Edge Machine Learning on a Commodore 64 - Ekkono Solutions AB

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What does it really mean to run machine learning on the edge? Over the last five years, Ekkono's researchers, engineers, and developers have been working hard to bring smart functionality to small hardware platforms. In this blog post, I would like to give you a small glimpse of what's possible to achieve with our purpose-built machine learning software library, designed with portability and ease-of-use in mind from the very first line of code. The potential benefits of analyzing data close to the source, rather than uploading it to the cloud, are many: faster response times, increased security and privacy, and improved energy efficiency, to name a few. Back in June, one of our data scientists, Eva Garcia Martin, wrote about some of the challenges of designing and building machine learning software for edge devices, and how those challenges influence our R&D processes.

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