Over the past decades, computer scientists have developed numerous artificial intelligence (AI) systems that can process human speech in different languages. The extent to which these models replicate ...
Abstract: In affective neuroscience and emotion-aware AI, understanding how complex auditory stimuli drive emotion arousal dynamics remains unresolved. This study introduces a neurobiologically ...
It’s not science fiction: scientists are using machine learning algorithms to decipher how animals communicate and what they’re saying. A new collaboration between Project CETI (Cetacean Translation ...
Abstract: Recent studies have demonstrated strong associations between the changes in dynamic functional connectivity (FC) and both behavioral and cognitive functions. The sliding window technique is ...
The Locality-aware Parallel Decoding (LPD) project focuses on improving the efficiency of autoregressive image generation. By leveraging locality-aware techniques, we can significantly speed up the ...
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