Laurent Le Faucheur
DSP/ML computing libraries for IoTAvailable in 11 days, 20 hours and 0 minutes
CMSIS-NN and CMSIS-DSP provide developers with a collection of efficient neural network kernels aimed at maximizing performance and minimizing the memory footprint on Cortex-M processors for applications that require machine learning and DSP capabilities. Join Laurent Le Faucheur, Principal IoT Software Engineer at Arm as he shares the latest developments for these computing libraries and how they can be used efficiently with future processing technology, including the Arm Cortex-M55 processor.
Live Q&A with Laurent Le Faucheur - DSP/ML computing libraries for IoTAvailable in 11 days, 21 hours and 0 minutes
Live Q&A with Laurent Le Faucheur following his talk titled "DSP/ML computing libraries for IoT"