Aktuelle Publikationen

Juli 2021

Overview of the Neural Network Compression and Representation (NNR) Standard

Heiner Kirchhoffer, Karsten Müller, Werner Bailer, Fabien Racape, Wojciech Samek, Shan Liu, Miska M. Hannuksela, Paul Haase, Hamed Rezazadegan-Tavakoli, Francesco Cricri, Emre Aksu, Wei Jiang, Wei Wang, Swayambhoo Jain, Shahab Hamidi-Rad

Neural Network Coding and Representation (NNR) is the first international standard for efficient compression of neural networks. The NNR standard contains quantization and an arithmetic coding scheme as core encoding and decoding technologies, as...

Juni 2021

Photoconductive THz Sources Driven at 1550 nm

E.R. Brown, A. Steiger, Björn Globisch, Daniel Segovia-Vargas, A. Rivera

In this book chapter we review photoconductive (PC) terahertz (THz) sources in the 1550-nm region. We contrast the two most common types of devices in the context of the two common implementations as PC switches and photomixers. We also...

Juni 2021

Tunable DBR Laser with Integrated Optical Isolator

Conradi, Hauke

Integration of a tunable DBR laser with an optical isolator in a polymer platform achieves 38 dB isolation over 17 nm tuning range and 5.6 mW output power. This is the first demonstrated integration of a DBR laser together with an optical...

Juni 2021

Exploring Button Designs for Mid-air Interaction in Virtual Reality: A Hexa-metric Evaluation of Key Representations and Multi-modal Cues

Carlos Bermejo, David Przewozny, Paul Chojecki, LIK-HANG Lee, Pan Hui

The continued advancement in user interfaces comes to the era of virtual reality that requires a better understanding of how users will interact with 3D buttons in mid-air. Although virtual reality owns high levels of expressiveness and...

Juni 2021

Multiparametric MRI for characterization of the basal ganglia and the midbrain

Till M. Schneider, Jackie Ma, Patrick Wagner, Nicolas Behl, Armin Michael Nagel, Mark E. Ladd, Sabine Heiland, Martin Bendszus, Sina Straub

In this joint work with the University of Heidelberg, German Cancer Research Center, University Hospital of Erlangen we showed that multimodal quantitative MR enabled excellent differentiation of a wide spectrum of subcortical nuclei with...

Juni 2021

Inverse-Designed InP-Based Polarization Rotator-Splitter

Hendrik Boerma

A size-reduced InP-based inverse-designed polarization rotator splitter is presented, being the first demonstration of a topology optimized passive waveguide component on InP. The manufactured device has extinction ratios >10dB for both...

Mai 2021

CFD: Communication-Efficient Federated Distillation via Soft-Label Quantization and Delta Coding

Felix Sattler, Wojciech Samek, Arturo Marban, Roman Rischke

Communication constraints prevent the wide-spread adoption of Federated Learning systems. In this work, we investigate Federated Distillation (FD) from the perspective of communication efficiency by analyzing the effects of active...

Mai 2021

Serial Data Transmission at 224 Gbit/s Applying Directly Modulated 850 nm and 910 nm VCSELs

N. Ledentsov Jr., Volker Jungnickel, Christoph Kottke, Jörg-R. Kropp, J.P. Turkiewicz, Nikolai N. Ledentsov, R. Freund, Lukasz Chorchos, V. A. Shchukin, Vladimir P. Kalosha, O. Markarov

In collaboration with VI Systems and the University of Warsaw, HHI has demonstrated data rates of over 200 Gbit/s for the optical short haul. This was made possible by a new generation of VCSELs with over 30 GHz bandwidth in combination with...

Mai 2021

Distributed Multiuser MIMO LiFi Networks for Industrial Wireless Communication

Kai Lennert Bober, Volker Jungnickel, Christoph Kottke, Dominic Schulz, Malte Hinrichs, Sreelal Maravanchery Mana, Sepideh Mohammadi Kouhini

LiFi exhibits characteristics that make it highly suitable as a wireless communication technology for industrial applications. As such, LiFi provides deterministic propagation, the potential for very high data density, use of license-free...

Mai 2021

Predicting the Binding of SARS-CoV-2 Peptides to the Major Histocompatibility Complex with Recurrent Neural Networks

Johanna Vielhaben, Nils Strodthoff, Markus Wenzel, Eva Weicken

Predicting the binding of viral peptides to the major histocompatibility complex with machine learning can potentially extend the computational immunology toolkit for vaccine development, and serve as a key component in the fight against a...

Ergebnisse pro Seite10ǀ20ǀ30
Ergebnisse 61-70 von 117
<< < 4 5 6 7 8 9 10 11 > >>