The xcore.ai microcontroller was launched back in February based around the original XMOS architecture and is fully programmable in ‘C’, with specific features such as DSP and machine learning accessible through optimised c-libraries. It has up to 128 pins of flexible IO (programmable in software) give access to a wide variety of interfaces and peripherals, along with an integrated USB 2.0 PHY and MIPI interface for collection and processing of data from a wide range of sensors.
It uses deep neural networks using binary values for activations and weights instead of full precision values, dramatically reducing execution time, which provides 2.6x to 4x more efficiency than 8bit AI mcrocontrollers. This gives a 32x improvement in AI performance over ARM’s Cortex-M cores, with 16x faster I/O processing and 15x digital signal processing performance says the company.
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