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We address the controllability of large language models (LLMs) by giving them interpretable beliefs and programmable knowledge through leveraging the PI's work ...

All speakers can understand a sentence never heard before, or derive the meaning of a word or a sentence from its parts. Children can learn any language ...

This proposal aims to support a visit by Dr. Damien Teney, head of the Machine Learning group at the Idiap Research Institute, to the Australian Institute for ...

Language is what sets humans apart from all other species. Despite much effort, however, its evolutionary origins have remained obscure. At the same time, the ...

In recent years, attention-based models like Transformers have radically improved the performance of natural language understanding (NLU), demonstrating the ...

The main objective of the present proposal is to advance the state of the art in spiking neural networks (SNNs), in particular for generative models.  It ...

Along the whole value chain in using data for economic purposes, guidelines and tools are required to make the business of the different stakeholders ...

Biometric identification systems have the potential to revolutionize humanitarian aid distribution programs by improving their efficiency and reducing ...

Recent advances in anthropomorphic and multi-limbs robots have led to an increased interest in exploiting these platforms for human-robot collaboration (HRC). ...

Rationale:In Switzerland, 1 769 000 people are living with disabilities, and might need frequent  physical therapy to maintain functions. However, most ...