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 ...

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 ...

Irene Okpanachi is a Features writer covering Android devices, laptops, portable projectors, VR headsets, software, and AI recorders for Android Police and Talk Android. She has five years' experience ...

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 ...

Reading a person’s mind using a recording of their brain activity sounds futuristic, but it’s now one step closer to reality. A new technique called ‘mind captioning’ generates descriptive sentences ...