Incorporating TensorFlowLite for microcontroller development tools, the SDK is designed to harness xcore.ai’s versatility and make it easier for engineers to develop connected products that can sense, think, decide and act.
The kit includes: AIoT tools: scripts, tools and libraries to convert TensorFlowLite for microcontroller models into a format that targets accelerated operations on the xcore.ai platform; FreeRTOS: libraries to support FreeRTOS operation on xcore.ai; examples showing a variety of operations based on bare-metal and FreeRTOS operation, including smart microphone sensing and documentation, including ‘getting started’ guides, example builds and execution walkthroughs, as well as access to XMOS’ open-source libraries of interfaces & signal processing algorithms.
These tools will enable developers to deploy custom or off-the-shelf AI models using a standard framework alongside all of the control, communications, signal and I/O processing required for a complete and secure application solution.
“Our AIoT SDK enables developers to create intelligent endpoint-AI solutions for a huge variety of applications,” said Mark Lippett, CEO of XMOS. “The flexibility of the xcore.ai architecture enables customers to create truly differentiated solutions using standard embedded software techniques in a fraction of the time required using traditional hardware approaches.”
Early access to the XMOS AIoT SDK will be available on the GitHub open source platform, designed to be used in conjunction with the xcore.ai Explorer Kit, which is available on limited release via xmos.ai.
Future releases will include other xcore.ai hardware platforms, targeting specific use case applications. This includes a smart home platform – a small form-factor reference design with additional Wi-Fi capability, designed to demonstrate the capabilities of voice at the edge of networks. It is due to be released in early 2021.