News - iCoSys

Sensors Magazine – Machine Learning For Fall Detection Using Wearable Sensors

10/04/2021News

Machine Learning achieves good success for automatic fall detection based on wearable sensors. Our iCoSys members Nicolas Zurbuchen and Pascal Bruegger, in collaboration with Adriana Wilde from the Centre for Health Technologies at the University of Southampton defined new state of the art results in their publication in Sensors magazine (Sensors 2021, 21(3), 938; https://doi.org/10.3390/s21030938). Congrats to them. […]

Put colors in your old photos with deep learning – new iCoService on board !

22/02/202122/02/2021News

iCoSys extends its deep learning micro-services library with Colorizer, a service able to re-colour black and white photographies. Check it out at here. Colorizer includes several interesting features. First, a slick and intuitive web showcase is there to allow you easily drag and drop black and white images and re-colour them in an instant. Second, […]

Beyond words with iCoSys

14/01/2021News

iCoSys is a proud contributor of Cryfe, the software that analyzes the authenticity of your words. This project is a two years old baby, in partnership with CM Profiling, Idiap Research Institute and funded by Innosuisse. Listen to our collaborators dr. Oussama Zayene and dr. Beat Wolf to know more about the work they have been […]

Finishing an Innosuisse project with a presence at the CES 2021

29/12/202029/12/2020News

The project ADVANCe is coming to an end after 2 years of development with CM-Profiling and the IDIAP research institute. Over the course of those 2 years, an innovative solution was developed to assists interviewers during job interviews. Based on machine learning algorithms, a complex data analysis platform has been developed from scratch to detect […]

The largest Swiss data collection for Legal and Finance Industries is coming

07/12/2020News

A really exciting project starts now at iCoSys with our partner Hieronymus AG, Translations by Lawyers for Lawyers : Datalambic ! We will use self-supervised machine learning to collect large quantity – high quality data sets. And then assemble complex NLP data pipelines for AI applications. This data collection will also be used to boost our […]

Let’s excavate with some algorithms

22/10/202022/10/2020News

Planning deep excavations is a long, complex but a very common task for geo-technical engineers. Through a collaboration of iCoSys and iTec, the Optisoil project uses machine learning to greatly speed up the process of evaluating a given deep excavation configuration. It also enables new possibilities, such as automatically finding the optimal solution to a […]