Do AI chatbots understand reality? Researchers used "AI neuroscience" to prove that language models develop internal world models that mirror human intuition.

Since 1985, the Wild Dolphin Project has been recording Atlantic spotted dolphins in the Bahamas using underwater audio and ...

Silicon Valley startup Sabi is the latest entrant to suggest using the brain as an interface device. The company is ...

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

A new AI-powered beanie can convert internal speech into text using brain signals, offering a less intrusive approach to brain-computer interfaces.

"DTM" is one of those sly, informal abbreviations that packs an attitude into just three letters. It stands for "doing too ...

Abstract: Scene text recognition (STR) methods have struggled to attain high accuracy and fast inference speed. Auto-Regressive (AR)-based models implement the recognition in a character-by-character ...

Add a utility to encode plain text to Unicode escape sequences and decode them back, with an option to output escape hex digits in either UPPERCASE or lowercase. Encode: Convert input text to \uXXXX ...

Sample of Decode Mode™ with Noah Text®, highlighting syllabication, long vowels, and phonological patterns to support decoding. Adaptive Reader’s new Decode Mode™ with Noah Text® uses science-based ...

The Qwen model works really well and I am grateful for the awesome repo. I had a query regarding extracting attention weights. I have tried setting configuration values like output_attentions and ...