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32bit RISC-V cores are customisable for TensorFlowLite AI | Nick Flaherty, EE News Europe

By March 8, 2022March 14th, 2022No Comments

Codasip has launched two 32bit RISC-V processor cores that can be optimised for machine learning applications.

The L31 and L11 are the latest cores optimized for customization to run machine learning neural networks in power-constrained applications such as IoT edge and are the first to feature TFLite Micro support. This will be followed by support across Codasip’s wider portfolio of RISC-V cores (above).

Algorithms for AI/ML are computationally intensive and custom processors are needed to deliver sufficient performance with the limited resources available in such embedded systems. The L31/L11 embedded cores are designed to run Google’s TensorFlowLite for Microcontrollers by using the Codasip Studio tools.

Read the full announcement. 

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