{"id":16273,"date":"2022-05-19T08:26:45","date_gmt":"2022-05-19T15:26:45","guid":{"rendered":"https:\/\/embeddedvisionsummit.com\/2022\/?p=16273"},"modified":"2022-05-23T11:44:58","modified_gmt":"2022-05-23T18:44:58","slug":"eon-tuner-awarded-2022-edge-ai-developer-tool-of-the-year","status":"publish","type":"post","link":"https:\/\/embeddedvisionsummit.com\/2022\/2022\/05\/19\/eon-tuner-awarded-2022-edge-ai-developer-tool-of-the-year\/","title":{"rendered":"EON Tuner Awarded 2022 Edge AI Developer Tool of the Year"},"content":{"rendered":"\n

This blog post was originally published at Edge Impulse\u2019s website<\/a>. It is reprinted here with the permission of Edge Impulse.<\/em><\/p>\n\n\n\n

We are delighted to announce that the Edge AI and Vision Alliance<\/a> has named Edge Impulse\u2019s EON Tuner<\/a> their 2022 Edge AI Developer Tool of the Year<\/a> today at the Embedded Vision Summit.<\/p>\n\n\n\n

The EON Tuner enhances your machine learning application by helping you find and select the best ML model within the constraints of your target device. The EON Tuner analyzes your input data, potential signal processing blocks, and neural network architectures, and gives you an overview of possible model architectures that will fit your chosen device’s latency and memory requirements. It\u2019s an end-to-end tool that helps automate the process of creating reliable and efficient models for all users.<\/p>\n\n\n

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