How does the brain manage to catch the drift of a mumbled sentence or a flat, robotic voice? A new study led by researchers ...
It’s a bizarre scourge afflicting editors and writers, casual readers, and pretty much anyone pondering a word for any length of time. Consider the word flower. F-l-o-w-e-r. Flowers. The flower in the ...
Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...
Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...
With the vast amount of data that enterprises are generating and storing, leaders are continually reminded to get their data in order so they can generate business insight and prepare for AI ...
Abstract: Semantic communication allows the receiver to know the intention instead of the bit information itself, which is an emerging technique to support real-time human-machine and ...
Abstract: Existing object-level simultaneous localization and mapping (SLAM) methods often overlook the correspondence between semantic information and geometric features, resulting in a significant ...
AI has transformed how we interact with technology, moving from traditional graphical interfaces to language-based, collaborative systems. To measure these new human-AI interactions, we developed ...
SentenceKV is an efficient KV cache compression method that organizes the KV cache at the sentence level based on semantic similarity. Unlike token-level compression methods, SentenceKV leverages the ...
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