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# STM32 MCU-Based AI Solutions, STM32Cube.AI and NanoEdgeAI Studio

This webinar introduces AI Solutions based on ST's STM32 MCU.
Recently, the demand for AI functionality in MCU-based embedded system environments has been growing very rapidly. Additionally, as Edge device platforms based on MCU incorporate AI functionality alongside IoT capabilities, new products and existing products with improved performance and efficiency are being developed.
Currently, ST provides numerous solutions that enable processing of various machine learning algorithms, including Neural Networks, on STM32 MCU.
ST provides two AI solutions: STM32Cube.AI and NanoEdgeAI Studio.
STM32Cube.AI is a tool that converts pre-trained models generated using general-purpose machine learning tools such as TensorFlow Lite and Caffe into C code-based libraries so they can run on STM32 MCU. Since it also supports ONNX format, models using various machine learning algorithms including Neural Networks can be converted into C code-based libraries.
NanoEdgeAI Studio is a powerful tool that automatically generates models and libraries based on machine learning algorithms if you have only a dataset, without requiring knowledge of AI.
In this webinar, we will provide detailed explanations of STM32 MCU-based AI solutions and various AI demos provided by ST, and will explain STM32Cube.AI and NanoEdgeAI Studio in detail.

댓글
- 41 Comments
- 정*근 (2022-12-08 오후 12:59:19)
- 바라던 세미나 입니다
- 이*우 (2022-11-22 오전 10:23:39)
- 정말 세미나 기대됩니다.
- 류*열 (2022-11-22 오전 10:19:51)
- 세미나 기대됩니다.
- 김*진 (2022-11-22 오전 10:09:28)
- 좋은 내용의 세미나가 되기를 기대합니다.
- 최*휴 (2022-11-22 오전 8:54:48)
- 기대합니다. 감사합니다.
- 최*휴 (2022-11-22 오전 8:54:47)
- 기대합니다. 감사합니다.
- 조*문 (2022-11-22 오전 8:03:19)
- 감사합니다
- 박*춘 (2022-11-22 오전 12:48:13)
- 세미나 기대를 합니다
- (2022-11-21 오후 4:47:07)
- 세미나 기대합니다 감사합니다
- 임*식 (2022-11-18 오전 8:58:28)
- AI인사이트를 기대합니다.

