Rome-based company Translated has embarked on a significant step in AI innovation by spearheading DVPS (Diversibus Viis Plurima Solvo), a €29 million Horizon Europe project. The initiative focuses on developing AI systems equipped to learn from diverse inputs such as text, images, and real-world experiences. With a strategy that integrates language, vision, and sensor data, Translated aims to facilitate machines in achieving a comprehensive understanding of the world. This marks a pivotal move towards machines that can interact in real-time and share insights instantaneously.
Previously, various initiatives have been launched to enhance AI systems’ ability to understand and interpret complex data. While earlier projects primarily focused on digital inputs, DVPS is expanding this by incorporating real-world interactions. This advancement emphasizes the progression from digital-only learning models to systems capable of processing both digital and real-world data cohesively. The inclusion of such multifaceted data sources is a step forward in addressing the limitations of AI’s current learning paradigms.
What Unique Solutions Does DVPS Offer?
DVPS seeks to address the challenges AI faces in accurately interpreting situations in noisy environments. By combining visual, spatial, and acoustic data, the project aids translation systems in pinpointing the speaker’s focus, allowing for precise translations in complex settings. Such a refined approach is pivotal in enabling AI to perform with human-like perceptual capabilities, overcoming traditional barriers where systems fail to navigate busy, sound-rich environments.
How Is Europe Leading in AI Collaboration?
With an impressive coalition of 20 organizations from nine different countries, the DVPS project is a testament to Europe’s concentrated efforts to lead in AI advancements. Managed by Translated, the initiative assembles a team of 70 leading European AI researchers. Collaborators include esteemed institutions such as the University of Oxford, ETH Zurich, and the Alan Turing Institute, all contributing their expertise to ensure the project’s success. This widespread collaboration underscores Europe’s commitment to fostering an environment where AI can thrive by integrating digital intelligence with elements of human perception.
Translated’s expertise in providing AI-powered language solutions further reinforces the initiative’s foundation. Established in 1999, the company has continually pushed the boundaries of language services by leveraging AI to support professional translators. Over the years, Translated has gained a reputation for delivering high-quality translations across multiple languages and subject areas.
The launch of Lara, Translated’s context-adaptive AI, marked a significant milestone in 2024, showcasing the ability to mimic human translation prowess. By merging human translators’ insights with machine efficiency, Lara facilitates complex localization projects with remarkable precision, cementing Translated’s position as a leader in the field.
Reflecting on the initiative, it is evident that DVPS promotes a paradigm where AI’s boundaries are redefined by integrating real-world learning capabilities. Such efforts not only enhance AI’s functionality but also contribute to Europe’s strategic positioning in the global AI landscape. Continued collaboration across sectors and countries is crucial in navigating the rapidly evolving technological terrain.
