Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.
Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
Abstract: An area-efficient multirate low-density parity-check convolutional code (LDPC-CC) decoder is presented in this brief. Using the layered decoding algorithm, the decoder achieves a better ...
Abstract: Identifying polyps is challenging for automatic analysis of endoscopic images in computer-aided clinical support systems. Models based on convolutional networks (CNN), transformers, and ...
The Connectionist Temporal Classification loss. Calculates loss between a continuous (unsegmented) time series and a target sequence. Long Short-Term Memory (LSTM) is a type of Recurrent Neural ...
A developer reverse-engineering Anthropic's Claude Code binary discovered on June 30, 2026, that the tool had been silently encoding hidden signals into its AI system prompts for at least three months ...
This GitHub Repository was produced to share material relevant to the Journal paper Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer ...
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