Facial Recognition at the Summit of the Himalayas
Discover how HEIA-FR’s innovative facial recognition technology is improving healthcare in Lukla, Himalayas, by enabling timely medical interventions in remote regions.
Discover how HEIA-FR’s innovative facial recognition technology is improving healthcare in Lukla, Himalayas, by enabling timely medical interventions in remote regions.
iCoSys hosts the first IA-telier with CCIF, connecting emerging talents and IT professionals to enhance AI competitiveness.
Innosuisse Funds RESOUND Project: Enhancing Forecasting of Agricultural Commodities with Trust Metrics.
iCoSys participated in AMLD 2024 at EPFL, showcasing AI adoption by SMEs with presentations and a panel discussion.
LynxData, a new startup founded by members of the iCoSys community, is at the forefront of digital innovation. Specializing in complex IT systems and multi-platform applications, LynxData is based in Grolley, Fribourg, and is dedicated to pushing the boundaries of technology.
The Artificial Intelligence takes the stage at the Open Day event of the Engineering University of Fribourg. A full AI experience, with interactive exhibits, engaging workshops, and insightful presentations.
The AI Days 2024, hosted by CSIA-PME, showcased cutting-edge AI research and applications across industries like Industry 4.0, Healthcare, and Energy. Featuring distinguished speakers and workshops, the event facilitated connections between SMEs, researchers, and AI enterprises, fostering collaboration and understanding of Swiss AI Center activities.
Gathered within a collaborative project funded by the NPR, three IT companies and three institutions from HES-SO are collaborating with Richemont, Groupe E, and Groupe E Celsius to explore optimization potentials in buildings using data science and artificial intelligence.
iCoSys is excited to participate in Alliance’s brainstorming event focused on predictive maintenance with AI. Predictive maintenance is crucial for companies across various industries to prevent financial losses caused by equipment breakdowns or premature replacements. This approach relies on data analysis and artificial intelligence can play a pivotal role. The event on September 28 will feature discussions among industry peers and academic institutions on the automatic collection and management of relevant data for effective predictive maintenance. Additionally, Prof. Dr. Jean Hennebert will deliver a talk on the remaining research challenges in this field.
Congratulations to Michael Jungo, PhD student at iCoSys for winning the best student paper award at the International Conference on Document Analysis and Recognition – ICDAR 2023. The conference took place in San Jose, California, and is considered one of the top conference for the Document Analysis and Recognition – DAR community. The paper, entitled […]