Latests Hightlights

Idiap celebrates 35 years: two events not to be missed in September
institute — Aug 19, 2026

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.

Idiap Unveils a New Visual Identity
institute — Aug 11, 2026

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.

“At Idiap, I discovered the professional world”
institute — Aug 03, 2026

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.

Multiple International Awards Secured by Idiap in June 2026
research — Jun 23, 2026

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.

Annual Report 2025
institute — May 20, 2026

We are pleased to present our Annual Report for 2025.

SDialog: Idiap's Open-Source Toolkit for Reproducible Conversational AI
research — Apr 24, 2026

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.