We don't need to keep up with our kids' changing lingo. Listening to the concerns, emotions, and desires that underlie the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Children's Hospital Los Angeles, Los Angeles, CA. Search for other works by this author on: ...

Abstract: Algebraic codes are important in communication and storage systems where soft information is limited and decoding efficiency is critical. Among them, algebraic-geometric (AG) codes are ...

Hallucination is one of the most critical obstacles to reliably deploying Large Vision-Language Models (LVLMs): the model produces fluent, confident text that is factually inconsistent with what is ...

Abstract: The present portable communication devices need high speed data transmission to support different interfaces and display technologies. These communication devices transmit data between ...

Summary: Meta’s Fundamental AI Research team has unveiled TRIBE, a groundbreaking foundation model designed to predict how the human brain processes visual and auditory stimuli. Trained on massive ...

Motivation In order to advance in the understanding of neuronal cultures as an alternative for in silico computers that could lead to a new generation of massivelly parallel biological neuroprocessors ...

A social network analysis (SNA) of text-message communication among nursing home care teams identified three different communication models and determined that an understanding of these models can ...