Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

Add Decrypt as your preferred source to see more of our stories on Google. Meta introduced Brain2Qwerty v2, a non-invasive AI system that decodes brain activity into text. The model achieved 61% ...

The Nature Index 2026 Research Leaders reveal the leading institutions and countries/territories in the natural sciences, health sciences, applied sciences and social sciences, according to their ...

A new brain chip rival is challenging Neuralink by claiming 20x faster neural decoding. Reports highlight technological ...

Precision neurostimulation leverages AI and closed-loop feedback, delivering tailored treatments for neurological disorders ...

Meta introduces Brain2Qwerty v2, a groundbreaking AI system that translates brain activity into text without surgery, ...

Speculative decoding can help AI chatbots improve throughput and reduce hardware demand by using a smaller model to draft tokens that a larger model validates.

Abstract: Due to the limited perceptual field, convolutional neural networks (CNN) only extract local temporal features and may fail to capture long-term dependencies for EEG decoding. In this paper, ...

Unlike traditional AI benchmarks confined to closed tasks, the MARS2 competition shifts the paradigm toward complex, ...

Most prosthetic hands today still struggle with a fundamental problem: No two amputees are the same, yet most devices are ...

This is a repository of the scripts used for the study: “EEG-based Brain-Computer Interface Enables Real-time Robotic Hand Control at Individual Finger Level”. Ding, Y., Udompanyawit, C., Zhang, Y., & ...