As artificial intelligence (AI) becomes more deeply embedded in everyday tech, from smartphones to medical devices, the demand for models that are not just powerful but also efficient and lightweight is rising fast. This is especially important in settings where computing resources are limited. To meet this challenge, Idiap researchers Mutian He and Philip Garner have developed a new agile method.
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Starting April 2025, Idiap is on Bluesky, the social media that reminishes the early days of Twitter (today X).
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.
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.