Train Deep Learning Models Directly on the Edge!
Edgify’s framework gives any edge unit the ability to run Deep learning and AI training locally, without the need to extract the data to a server or having to pay the network costs of Model building. We call this self training AI.
By training AI models at the edge where the data is generated, one can train on the entire data generated, without compressing, or sampling the data in order to make it easily transferable to the cloud/server, and without the need to anonymise it for privacy reasons. This ability to decentralise the training process, and by doing so, allowing to train on entire datasets, will bring forth a potential new level of accuracy to the world of AI. These new obtainable accuracies can generate both high financial rewards in some verticals (retail, intelligent homes, manufacturing), and life-saving solutions in others (autonomous cars, medical).
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We developed the ability to run computationally intensive processes on edge devices with limited CPU and GPU, including solutions for low connectivity, asynchronistic data, and data split into unequal batches. Turn any edge device into a DL training machine! This can be done on any device that is connected and has CPU / GPU such as simple cameras, Cashiers, connected cars, printers, laptops, mobile phones, etc.