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.
Audio Inference Group News
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by Maxime Bourlard
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last modified
May 07, 2025 03:00 PM
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by nicolas-filippov
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last modified
Nov 11, 2024 09:29 AM
Every year, the Institute nominates two students for its internal awards. In 2022, the Paper Award goes to Alexandre Bittar, and the Student Award goes to Teguh Lembono. Congratulations!
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by nicolas-filippov
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last modified
Oct 04, 2024 11:05 AM
Idiap researchers published a paper describing an approach to speech processing based on the properties of the human brain. Their method proved as efficient as the current standard, whilst conserving the advantage of energy efficiency. Moreover, their work is replicable thanks to open access software paving the way for future applications.