AIfES
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About
AIfES (Artificial Intelligence for Embedded Systems) is an open source AI software framework developed by the Fraunhofer Institute for Microelectronic Circuits and Systems. It allows the implementation and training of artificial neural networks (ANN) on various hardware, including microcontrollers, IoT devices, Raspberry Pi, PCs, and smartphones. Designed to facilitate Tiny Machine Learning (TinyML), AIfES makes it possible for battery-powered, self-learning devices to process sensor data locally without relying on cloud services. The framework supports Feedforward Neural Networks (FNN) and Convolutional Neural Networks (ConvNet), with integrated common activation functions. AIfES promotes decentralized AI by allowing embedded systems to process data locally, minimizing transmission delays and energy consumption, making it suitable for applications in Health, Industry, Mobility, and Space.
Platform
Task
Features
• facilitates decentralized data processing
• emphasizes tiny machine learning
• runs on diverse hardware
• supports various neural networks
• open source ai framework
FAQs
What devices does AIfES run on?
AIfES can be used on almost any system, whether it's a microcontroller, IoT device, Raspberry PI, PC or smartphone.
How can I install AIfES?
You can download AIfES by searching for 'aifes' in the Arduino Library Manager or manually downloading it from GitHub.
For which ML problems is AIfES suitable?
AIfES is suitable for any machine learning problem solvable with complex neural networks.
To what extent can the architecture be adapted?
AIfES is a flexible toolbox for operating and training neural networks, allowing modular optimization of layer functions for different data types.
Why is TinyML so exciting?
TinyML enables data processing on low-power, battery-operated devices, allowing real-time processing without delays.
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