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This is the Arduino® compatible port of the AIfES machine learning framework, developed and maintained by Fraunhofer Institute for Microelectronic Circuits and Systems.
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[](https://fraunhofer-ims.github.io/AIfES_for_Arduino/) # AIfES for Arduino® AIfES (Artificial Intelligence for Embedded Systems) is a platform-independent and standalone AI software framework optimized for embedded systems. The Feedforward Neural Networks (FNN) and Convolutional Neural Networks (CNN) implemented in AIfES can be freely parameterized, trained, modified or reloaded at runtime. In this version, it is optimized for the Arduino IDE and compatible to almost any Arduino board. AIfES is developed in the C programming language and uses only standard libraries based on the GNU Compiler Collection (GCC). AIfES thus runs on almost any hardware from 8-bit microcontrollers over Raspberry PI to smartphones or PCs. Not only inference of FNN and CNN is possible, but also training directly in the device. Furthermore, compatibility to other AI software frameworks such as Keras or TensorFlow is also given. AIfES was developed by the Fraunhofer Institute for Microelectronic Circuits and Systems IMS. Additional information can be found at <www.aifes.ai> The Fraunhofer IMS with AIfES and Arduino preapare to enter a partnership. We are also at the Arduino Project Hub. Here you can find our new AIfES projects and examples: https://create.arduino.cc/projecthub/aifes_team Follow us on LinkedIn to get all the latest news about AIfES: https://www.linkedin.com/showcase/aifes-ai ## Dual License ### For Maker and Open-Source-Projects (GNU AGPLv3): For private projects or developers of Free Open Source Software (FOSS) under version 3 of the GNU Affero General Public License (AGPL), the AIfES version offered here can be used free of charge. ### For use in commercial applications: If AIfES is to be combined and distributed with commercially licensed software and/or if you do not wish to distribute the AIfES source code for the commercially licensed software under version 3 of the GNU Affero General Public License (AGPL), you must conclude a license agreement with Fraunhofer IMS. For more information and contact, refer to our [homepage](<https://www.ims.fraunhofer.de/en/Business-Unit/Industry/Industrial-AI/Artificial-Intelligence-for-Embedded-Systems-AIfES/AIFES_Cooperation.html>) ## Compatibility AIfES in the current version supports almost all microcontroller types and Arduino boards: * 8-Bit-Microcontroller * 16-Bit-Microcontroller * 32-Bit-Microcontroller * 64-Bit-Microcontroller ### Installation guides for various IDEs We have already put the first guides to integrate AIfES in various IDEs in our GitHub repository which you can find [here](https://github.com/Fraunhofer-IMS/AIfES_for_Arduino/tree/main/etc/installation_guides). Guides for the following IDEs are available by now: * Code::Blocks * STMCubeIDE * Wokwi - the simulator for Arduino / ESP32 You can help us by downloading the *.docx template and write a manual for your favourite IDE. Send it as a PDF to `aifes(at)ims.fraunhofer.de` ### Wokwi - Online Arduino and ESP32 Simulator If you don't have any hardware available, you can also test some AIfES examples in Wokwi. The simulation is slower, of course. Here are a few examples: * [AIfES_Express_XOR_F32_Inference (Arduino UNO 8-Bit)](https://wokwi.com/projects/326927612799615571) * [AIfES_Express_XOR_F32_training (Arduino Mega 8-Bit)](https://wokwi.com/projects/326198897167827538) * [AIfES_Express_XOR_F32_training (ESP32)](https://wokwi.com/projects/326180812579930706) * [TicTacToe_Q7 (Arduino UNO 8-Bit)](https://wokwi.com/projects/326999793082565203) ### ARM CMSIS AIfES also supports the *Cortex Microcontroller Software Interface Standard* (CMSIS) of the ARM Cortex controllers. This standard can speed up inference and training for large FNNs. Please read the README.md in https://github.com/Fraunhofer-IMS/AIfES_for_Arduino/tree/main/src/CMSIS for more information on how to add the CMSIS library. ### Python To get you startet we developed the [AIfES-Converter](htt
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matched fp:d91edc91c0175937, llm:Description: 'Arduino® compatible port of the AIfES machine learning framework' (Fraunhofer IMS). Language: C. Port of ML framework to microcontroller/Arduino.
matched fp:d91edc91c0175937, llm:Description: 'Arduino® compatible port of the AIfES machine learning framework' (Fraunhofer IMS). Language: C. Port of ML framework to microcontroller/Arduino.
matched fp:d91edc91c0175937, llm:Description: 'Arduino® compatible port of the AIfES machine learning framework' (Fraunhofer IMS). Language: C. Port of ML framework to microcontroller/Arduino.