Canadian startup Recurrent Dynamics says it has found a way to train artificial intelligence continuously, at the edge, on devices such as cell phones, tablets, self driving cars and any of the worlds 25 billion connected devices.
“Advancement in the capabilities of artificial intelligence is hindered by the current paradigm for training. This involves acquisition of data, and training on centralized cloud infrastructure, typically provided by Amazon Web Services, Google Compute Cloud, or Microsoft Azure," said Max Trokhimtchouk, CEO and founder of Recurrent. "The huge upfront cost and complexity of this paradigm mean that only very well funded companies can advance AI capabilities. We are changing that.”
“Our computational breakthrough enables AI to be trained on small cheap devices such as cell phones and tablets rather than expensive cloud infrastructure. If you can run your AI model on a device, you can now train your model on the device," said Trokhimtchouk.
“There will be a shift of computational workload away from cloud infrastructure using Intel based servers to mobile devices. These devices typically use processors based on ARM architecture and are built by companies such as Qualcomm, Apple, and Samsung. This shift will accelerate over time, much the same way as the shift away from mainframes to personal computers.”
The company believes this means AI will become significantly more capable, in less time with dramatically faster prototyping and larger scale training. It will also lead to an explosion in practical applications of AI. This is because the new paradigm of training AI at the edge avoids the huge upfront costs of centralised training in the cloud. Millions more developers can now participate in advancing AI solutions.
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