Previous research has demonstrated the potential of using pre-trained language models for decoding open vocabulary Electroencephalography (EEG) signals captured through a non-invasive Brain-Computer ...

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 ...

A student must be able to decode before they can truly build reading fluency or comprehension. That’s not a preference. It’s how reading works. Yet in IEP meetings, I often see teams rush toward ...

Abstract: Brain-to-text systems are rapidly emerging at the intersection of neuroscience, brain–computer interfaces (BCIs), and artificial intelligence, aiming to decode neural signals into coherent ...

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 ...

Fix Windows errors with Fortect: Fortect can repair common computer errors by scanning your entire system for damaged or missing OS files and replacing them with the original, working versions.

Texting has evolved its own unique language, filled with abbreviations and slang that can sometimes leave us scratching our heads. One such abbreviation is “GN.” Understanding what GN means in text ...

Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical ...

A basic but comprehensive tokenizer implementation in JavaScript that learns vocabulary from text, supports ENCODE/DECODE operations, and handles special tokens. Perfect for understanding the ...

Speech language models (Speech LMs) enable end-to-end speech-text modeling within a single model, offering a promising direction for spoken dialogue systems. The choice of speech-text jointly decoding ...