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In this collaboration project, we extend the abilities of currently existing large language models (LLMs) to coordinate an end-to-end simulation-based ...

Large Language Models (LLMs) have emerged as universal models for addressing language understanding and inference tasks. However, In order to operate factually ...

Understanding and interpreting people’s states, activities, and behaviors stands as a foundational objective in the field of artificial intelligence. Indeed, ...

The building sector globally consumes 30% of primary energy, essentially from fossil origin. To foster an energy transition towards renewables, the adoption of ...

This project aims to improve the applicability, reliability, and robustness of cutting-edge artificial intelligence (AI) technology in the understanding of the ...

Generative AI models for face image synthesis (StyleGAN, Diffusion) can now create high resolution photo-realistic face images. Face recognition (FR) is ...

FactCheck project addresses the critical challenge of distinguishing fact from fiction in the digital information space, exacerbated by the rapid spread of ...

Large Language Models (LLMs) are trained on broad data, using self-supervision at scale, to complete a wide range of tasks. Wider use of LLMs has risen in ...

Recent advances in generative AI and robotics have revolutionized the connection that people have with creativity and art. We propose an installation to shed ...

We propose a novel Interactive ML framework for advanced manufacturing. We combine incremental learning (few-shot learning and active learning) and human ...