Running AI/Neural networks on microcontrollers made simple with the STM32Cube.AI

Technical session delivered by Markus Mayr, Product Marketing Manager at STMicroelectronics.
This session focuses on the STM32Cube.AI software tool and its Ecosystem. The STM32Cube.AI toolbox generates optimized code to run neural networks on the STM32 Arm Cortex-M based microcontrollers. It is bringing AI to microcontroller-powered intelligent devices at the edge, on the nodes, and to deeply embedded devices across IoT, smart building, industrial, and medical applications. With STM32Cube.AI, developers can now convert pre-trained neural networks into C-code that calls functions in optimized libraries that can run on STM32 MCUs.
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[@tejaswinipawar3100]

nice..

[@haraldgundersen7303]

Very interesting to try with wio lite AI

[@mylic]

Could you share the presentation slides please?

[@varunbeekanvk2417]

Can you please share some example programs??

[@sailfromsurigao]

Does this mean that STM32Cube.Ai can be used on most STM32 MCU's for Image Processing, including STM32F407?

[@ruibao5651]

Did you get the answer?

[@sailfromsurigao]

@@ruibao5651 as long as ram and rom requirements are satisfied, it can be used.

[@denizdanaie5997]

nice presentation, stop panting though, :smile