Face recognition is widely used today, from unlocking phones to enhancing surveillance systems. However, this technology often relies on large datasets of internet photos collected without consent, raising privacy and ethical concerns. To address this, researchers at Idiap have developed a synthetic (fake but realistic) face dataset, offering a privacy-friendly alternative without compromising model performance.
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Robots designed to empower people with mobility disabilities are complex and difficult to adopt, as they require sophisticated movements to complete even basic tasks. At Idiap, researchers have developed a software that allows the robot to adapt to the unique needs of these people to provide a user-friendly experience.
Sébastien Marcel, senior scientist at Idiap, has been elevated to IEEE Fellow, effective January 1, 2025. The IEEE fellowship testifies “the advancement or application of engineering, science and technology, bringing the realization of significant value to society”[1].
We are starting the 2025 Idiap Distinguished Lectures with a special guest: Samy Bengio.
We are pleased to share our 2024 Scientific Report, highlighting key advancements across Idiap’s research programs: Human-AI Teaming, Sustainable & Resilient Societies, AI for Life, and AI for Everyone. Additionally, the report presents Foundational AI advances across all programs.