Developers, hobbyists and enthusiasts wanting to learn more about running artificial intelligence on Internet of Things Microcontrollers with ELL or the Embedded Learning Library (ELL) an open source library for embedded AI and machine learning from Microsoft. Many enjoy watching Chris Lovett from Microsoft Research providing an overview and demonstration during an episode of the Internet of Things show.
“How about designing and deploying intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit? How interesting would that be? This is exactly what the open source Embedded Learning Library (ELL) project is about. The deployed models run locally, without requiring a network connection and without relying on servers in the cloud. ELL is an early preview of the embedded AI and machine learning technologies developed at Microsoft Research.”
The Embedded Learning Library (ELL) allows developers and enthusiasts the ability to design and deploy intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit.
Once deployed models can be run locally without requiring a network connection and without the need to rely on servers in the cloud. ELL is an early preview of the embedded AI and machine learning technologies developed at Microsoft Research, jump over to the official website by following the link below.
Source: Microsoft
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