New HEIA-FR R&D brochure using procedural art

The new R&D brochure of the HEIA-FR entitled “Collaborer pour innover” has been released with an unique feature. iCoSys was asked to design the new title page of the brochure using procedural art, with the possibility to create an infinite amount of variations. The result is a unique work of art, which uses as its […]

Closure of project EU BIOSMART – final publication

We are happy to announce the closure of the EU BIOSMART project in which HEIA-FR was partner, involving PICC, CHEMTECH and iCoSys. A final publication has now been made available, referring to BIOSMART under the title: “A push to ensure fresh foods end up getting tasted instead of wasted“. A short movie was also created […]

Face verification to help healthcare in Nepal

Useful results at the end of the world ?! Nice project of Benjamin Pasquier involving AI biometric face recognition to help healthcare in Nepal. Congratulations to Benjamin, a brilliant student from our University of Applied Science. Benjamin created a facial recognition web application to facilitate patient monitoring in a Nepalese hospital. At the end of his […]

Artificial intelligence for law

Nice article from La Liberté about the start-up NEUR.ON, which is making its mark at the interface between law and artificial intelligence (AI)! In collaboration with the HEIA-FR, Neur.on has developed a software that allows automated translations in the legal and financial field. Several large law firms have already adopted it! “The tool is based […]

New AI microservices on our iCoService cluster

We are proudly releasing a couple of new Artificial Intelligence microservices! Students, collaborators and even profs are contributing to extending the list of microservices on our Kubernetes cluster. Check them out here: https://icosys.ch/icoservices. All microservices are accessible through REST API following the openapi v3 specification (OAS3).   Flip-ML. The objective of this microservice is to […]

Thematic Session on Collaborative Machine Learning

Prof. S. Rumley organised and chaired a Thematic Session on “Collaborative Machine Learning across IoT, Edge, Fog and Cloud devices for Improved Privacy and Resilience” at the Hipeac Computing Systems Week in Tampere, Finland  #CSWSpring22. The program can be found here : https://www.hipeac.net/csw/2022/tampere/#/program/sessions/7974/