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The CASPER project develops a framework that combines cognitive neuroscience with advanced artificial intelligence techniques. By utilizing Graph Neural Networks and Large Language Models, it aims to improve multimodal learning and neural representation decoding, with applications in speech reconstruction and assistive…
Cross-Modal Alignment for Semantic Processing and Effective Representation (CASPER) project is pioneering a novel framework that synergizes cognitive neuroscience with advanced artificial intelligence methodologies.
By employing Graph Neural Networks (GNNs) and Large Language Models (LLMs), CASPER enables seamless integration and representation of diverse modalities, such as text, audio, speech, images, and neural signals, including fMRI, EEG, and MEG.
The project’s core aim is to push the front…
UNIVERSITA CA' FOSCARI VENEZIA
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