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Aktuelle Publikationen
Beyond Explaining: Opportunities and Challenges of XAI-Based Model Improvement
Explainable Artificial Intelligence (XAI) is an emerging research field bringing transparency to highly complex and opaque machine learning (ML) models. This paper offers a comprehensive overview over techniques that apply XAI practically to...
150 GBd PAM-4 Electrical Signal Generation using SiGe-Based Analog Multiplexer Ic
Analog Multiplexers in Silicon-Germanium technology allow increasing the analog bandwidth of Digital-to-Analog-Converters and enable faster data transfers. We demonstrated 4-level pulse-amplitude modulation (PAM-4) signal transmission at 150 GBd...
New Definitions of Human Lymphoid and Follicular Cell Entities in Lymphatic Tissue by Machine Learning
Histological sections of the lymphatic system are usually the basis of static (2D) morphological investigations. Here, we performed a dynamic (4D) analysis of human reactive lymphoid tissue using confocal fluorescent laser microscopy in...
Towards the Interpretability of Deep Learning Models for Multi-Modal Neuroimaging: Finding Structural Changes of the Ageing Brain
Brain-age (BA) estimates based on deep learning are increasingly used as neuroimaging biomarker for brain health; however, the underlying neural features have remained unclear. We combined ensembles of convolutional neural networks with...
Time Adaptive Probabilistic Shaping for Combined Optical/THz Links
We investigate the applicability of PAS for outdoor THz wireless links in simulations with weather-dependent loss models. Link performances are evaluated and optimal shaping entropies are determined to adjust error rates to a given FEC threshold....
Edge Cloud based Visual Inspection for Automatic Quality Assurance in Production
We present a remote quality assurance use-case in distributed production sites that can be realized with the powerful capabilities of Artificial Intelligence (AI) combined with real-time video streaming systems and high-speed, low-latency...
Ultra-Broadband Optical Wavelength-Conversion using Nonlinear Multi-Modal Optical Waveguides
Ultra-Broadband Wavelength Conversion is one of the key issues of future optical networks. The physical background of ultra-broadband optical wavelength conversion in a multi-modal Silicon waveguide and methods to optimize its functionality are...
Fixed 5th Generation Advanced and Beyond
One of the overarching goals of the ETSI Industry Specification Group (ISG) F5G on Fifth Generation Fixed Network is to establish a regular rhythm of evolution for the fixed telecommunications network. So far, F5G has published technical...
Towards Trustworthy AI in Dentistry
Medical and dental artificial intelligence (AI) require the trust of both users and recipients of the AI to enhance implementation, acceptability, reach, and maintenance. Standardization is one strategy to generate such trust, with quality...
Federated Learning in Dentistry: Chances and Challenges
Building performant and robust artificial intelligence (AI)–based applications for dentistry requires large and high-quality data sets. Collaborative efforts are limited as privacy constraints forbid direct sharing across the borders of these...
To Pretrain or Not? A Systematic Analysis of the Benefits of Pretraining in Diabetic Retinopathy
In this work, we aim to understand what type of pretraining works reliably in practice and what type of pretraining dataset is best suited to achieve good performance in small target dataset size scenarios. Considering diabetic retinopathy...
History Dependent Significance Coding for Incremental Neural Network Compression
This paper presents an improved probability estimation scheme for the entropy coder of Incremental Neural Network Coding (INNC), which is currently under standardization in ISO/IEC MPEG. Major finding is that the probability of a significant...
Innovationen für die digitale Gesellschaft
Innovationen für die digitale Gesellschaft von morgen stehen im Mittelpunkt der Forschungs- und Entwicklungsarbeit des Fraunhofer-Instituts für Nachrichtentechnik, Heinrich-Hertz-Institut, HHI. Dabei ist das Fraunhofer HHI weltweit führend in der Erforschung von mobilen und optischen Kommunikationsnetzen und -systemen, faseroptischen Sensorsystemen sowie der Kodierung von Videosignalen und der Bilddatenverarbeitung.
Gemeinsam mit internationalen Partnern aus Forschung und Industrie arbeitet das Fraunhofer HHI im gesamten Spektrum der digitalen Infrastruktur – von der grundlegenden Forschung bis hin zur Entwicklung von Prototypen und Lösungen. Das Institut trägt signifikant zu den Standards für Informations- und Kommunikationstechnologien bei und schafft neue Anwendungen als Partner der Industrie.
Innovationen für die digitale Gesellschaft von morgen stehen im Mittelpunkt der Forschungs- und Entwicklungsarbeit des Fraunhofer Heinrich-Hertz-Instituts HHI. Dabei ist das Institut weltweit führend in der Erforschung von mobilen und optischen Kommunikationsnetzen und -systemen, faseroptischen Sensorsystemen sowie der Kodierung von Videosignalen und der Bilddatenverarbeitung.