Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
Abstract: U-shaped encoder-decoder models have excelled in automatic medical image segmentation due to their hierarchical feature learning capabilities, robustness, and upgradability. Purely CNN-based ...
Abstract: The morphologies of various surface defects on strip steel suffer from oil stain, water drops, steel textures, and erratic illumination. It is still challenging to recognize defect boundary ...
Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
Gemma 4 12B is a new model in the Gemma 4 family announced by Google on June 3, 2026. It is positioned as an "encoder-free unified multimodal model optimized for laptops." The official blog (Google ...
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Meta has unveiled Brain2Qwerty v2, an AI system that converts brain activity into text without surgery, bringing assistive communication a step closer to reality.
This repository contains the implementation for the paper: MeshGPT: Generating Triangle Meshes with Decoder-Only Transformers by Yawar Siddiqui, Antonio Alliegro, Alexey Artemov, Tatiana Tommasi, ...
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