We bring effective Intelligence to every Device

As the number of sensors increases, it becomes increasingly difficult to make the right conclusions from the flood of available information. Methods of data analysis, such as Machine learning can help identify essential patterns in the data and ultimately use them to provide better products and better sensors that ultimately optimize business processes.

Our basic motivation is to design and harness robust tracking algorithms and data analysis techniques using both machine learning and statistical methods. The focus is also on hybrid methods that take advantage of both aspects.

Our Research Areas

 

AI for Computer Vision

Use cases and our offering for optimizing and executing AI-based processing chains on embedded systems.

 

AI for Signals

Interference disrupts processes. Our AI detects, learns, adapts, and improves with every application, even in complex environments with multipath effects.

 

AI for Quantum Computing

The development of a quantum computer is no longer a fiction. With entangled qubits, complex computation paths can be solved at the same time.

Technologies and Products

 

Edge AI Models

Discover innovative edge AI models developed through research, teaching, and practical applications, created as part of student projects and academic research. The website offers fascinating insights into modern AI applications deployed directly on edge devices.

 

Edge AI Plattform

    Develop AI models for embedded systems – without any in-depth AI knowledge. Our Edge AI Platform offers everything you need to quickly and efficiently implement your application: from data collection and training to execution on edge devices.

 

Become a certified Edge AI specialist

 

Edge AI enables machine learning on microcontrollers and opens doors to a wide range of applications. The training is aimed at professionals with data analysis experience and hardware developers who want to deepen their knowledge of machine learning.

 

You will learn how to develop ML applications on microcontrollers, identify challenges early on, and develop appropriate strategies. Take advantage of our comprehensive expertise for your success.

 

Your AI needs data. We provide it.

Do you need training or test data for your AI application? At our LINK Hall, we can assist you with professional data collection—from experiment design and data acquisition to analysis—under realistic conditions and using state-of-the-art equipment.

 

Applications and Projects

Learn more about practice-based projects and the possibilities within your field of application.

 

Publications

Here you can find our publications on the topic of data analytics and machine learning.

 

Competences

 

Machine Learning

In machine learning, the system can learn from examples and generalize and implement them after completing the learning phase...

 

Fusion

A single technology can not usually meet all requirements. One solution is the fusion of multiple technologies and information...

 

Positioning

The localization competence of Fraunhofer IIS can also be used in the field of data analytics. Exact position determination can also be elementary here...

 

Deep Compression

Artificial intelligence is mostly implemented with Deep Learning, which enables more efficient transfer and execution. The savings in time and energy are immediate.

 

Reinforcement Learning

We use automation everywhere in our daily lives. So it's even more important that everything works fine. Meanwhile, potential errors can be corrected by the machines themselves...