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

When students struggle with reading, educators often respond by relying on texts at their “instructional level.” But this well-intentioned approach can slow progress and limit access to the ...

BrainWhisperer is Tether’s Brain-to-text project. Tether is earmarking resources to build technologies that push the borders of intracranial electrocortical decoding. The latest result is a variable ...

When you find yourself going shopping and you're looking for a deal, did you know that there's a secret language that could unlock even more savings at your favorite discount stores? That includes ...

Google Messages is finally working on letting you select and copy a part of a message instead of the whole thing. Users have been asking for this small but convenient feature for a long time. We got ...

eDiscovery presents no shortage of complex and time-consuming challenges. This post covers the hardest of them all: working with Hebrew and Arabic search terms. Simply put, it's a nightmare. The ...

Tokens are the fundamental units that LLMs process. Instead of working with raw text (characters or whole words), LLMs convert input text into a sequence of numeric IDs called tokens using a ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...