Translated, an AI language solutions firm based in Rome, has embarked on a €29M initiative named DVPS aimed at developing AI systems capable of integrating and learning from text, images, and real-world experiences. This Horizon Europe initiative involves a collaboration of 20 organizations from nine countries, comprised of 70 leading AI researchers. The project aims to enhance AI's capacity to perform better in noisy environments, improving translation accuracy by integrating visual and acoustic data, over traditional models that struggle in such scenarios.
Large language models have been a breakthrough, but we're starting to see their limits both in their architecture and how they learn from static, human-made content, only available in the digital world. To go further, AI must interact with the real world in real-time.
DVPS tackles this limitation by fusing visual, spatial, and acoustic data to determine which speaker to focus on, delivering far more accurate translations, even in chaotic conditions.
The initiative brings together 20 leading organisations across 9 countries, with a core team of 70 top-tier European AI researchers.
With DVPS, we're enabling machines to grow by engaging with reality, and exchanging their learning between themselves instantly.
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