Frontiers

Advances in brain-computer interfaces: adaptive decoding, real-world applications, and neural data augmentation

Research on Brain-Computer Interfaces (BCIs) stands at the intersection of neuroscience, engineering, and artificial intelligence, aiming to bridge ...
IEEE

BiFormer-Seg: Dual-Branch Visual Encoding and Text-Guided Decoding for Radiological Segmentation

Abstract: Accurate segmentation of pulmonary infection regions is critical for diagnosing respiratory diseases such as COVID-19 and pneumonia. Although recent deep learning approaches have achieved ...
GitHub

Brain-to-Text '25: Neural Speech Decoding

Deep learning models for decoding intracortical neural activity during attempted speech into text. This repository contains our team's implementation for the COMP 433 Fall 2025 course project, ...
Hacker

RECKONING Method: Bi-Level Optimization for Dynamic Knowledge Encoding and Robust Reasoning

No technological innovation comes without sacrifice. The pendulum will swing back to the people! Wanna' be 501c3. byThe Tech Reckoning is Upon Us!@reckoning byThe Tech Reckoning is Upon Us!@reckoning ...
TechCrunch

Tether is setting the standards for Brain-to-Text speech decoding with AI-augmented BCI implants

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 ...
IEEE

Resilient Distributed State Estimation for Smart Grids Against Deception Attacks: An Encoding-Decoding-Based Approach

Abstract: This paper is concerned with the resilient distributed state estimation issue for smart grids under probabilistic encoding-decoding scheme and randomly occurring deception attacks. Due to ...