In 2026, Idiap is celebrating its 35th anniversary. Since its creation in Martigny in 1991, the Institute has been conducting cutting-edge research in artificial intelligence and contributing to the development of technologies that are transforming our daily lives. To mark this anniversary, two events will be held in September.
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In the year of its 35th anniversary, Idiap unveils a new visual identity. This evolution reflects what the Institute is today, where it is headed, and the heritage that has shaped it over the past 35 years.
As part of his Professional Baccalaureate in Business (MPE) studies at ECCG Martigny Business School, Lucas Bloyet spent a year as an intern in Idiap’s Accounting Department. We caught up with him after the completion of his internship to learn more about his experience and the key takeaways from this formative year.
A collaboration between Idiap, HES-SO Valais-Wallis, and the Valais Health Observatory (OVS) aims to ensure that artificial intelligence tools used in healthcare are reliable, understandable, and suited to the Valais population before being introduced into clinical practice.
June 2026 has emerged as a period of great success at Idiap, with the Institute receiving several prestigious international distinctions across the fields of human–computer interaction, computer vision, robotics, and advanced industrial technologies.
The University of Teacher Education Valais (HEP Valais) and Idiap have just completed a one-year research project aimed at gaining a better understanding of the state of AI literacy among the HEP Valais students and exploring how to effectively integrate artificial intelligence into the cantonal education ecosystem.
We are pleased to present our Annual Report for 2025.
Ajinkya Kulkarni, postdoctoral researcher, has received a jury distinction at the 2026 SNSF Scientific Image Competition, recognizing both the scientific relevance and visual impact of his work.
Building reliable conversational AI systems—such as chatbots or virtual assistants like Siri or Alexa—is more challenging than it may initially appear. Although modern LLMs have improved dramatically in capability, researchers and developers still contend with a fragmented ecosystem. Datasets are often stored in incompatible formats, evaluation methodologies lack consistency, and reproducibility remains limited across studies and implementations.
Idiap’s highly anticipated 9-day AI hackathon comes back from August 20 to 28, 2026.