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1
Introduction
2
Small German Committee
3
Introducing Pierre
4
Embedded AI
5
Different solutions on the market
6
How does it work
7
Basic version
8
Hardware accelerators
9
Arduino IDE
10
Licensing
11
Paid license
12
Function overview
13
Feedforward Neural Network
14
Updates
15
Working with partners
16
Demonstration
17
Network description
18
Weight calculation
19
Training from scratch
20
Data structure
21
Gesture recognition
22
Demo
23
Confidence
24
Conclusion
Description:
Explore an open-source standalone AI framework designed for almost any hardware in this tinyML Talks Germany presentation. Dive into AIfES (Artificial Intelligence for Embedded Systems), developed by Fraunhofer Institute for Microelectronic Circuits and Systems (IMS), which enables running and training artificial neural networks on a wide range of devices, including 8-bit microcontrollers. Learn about the framework's capabilities, its integration with Arduino IDE, and witness a live on-device training demonstration. Discover the latest features, licensing options, and potential applications of AIfES in embedded AI. Gain insights into the framework's architecture, data structures, and practical implementation through a gesture recognition demo, showcasing its versatility and efficiency in running machine learning on resource-constrained devices.

AIfES - An Open-Source Standalone AI Framework for Almost Any Hardware

tinyML
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