Meta’s Brain2Qwerty v2 offers a breakthrough non-invasive brain-to-text AI model with 61% word accuracy, challenging ...
Abstract: We propose a novel solution for predicting future trajectories of pedestrians. Our method uses a multimodal encoder-decoder transformer architecture, which takes as input both pedestrian ...
Abstract: Health prediction is crucial for ensuring reliability, minimizing downtime, and optimizing maintenance in industrial systems. Remaining Useful Life (RUL) prediction is a key component of ...
Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...
This repository contains a mathematically precise implementation of the original "Attention Is All You Need" Transformer architecture. Built entirely from scratch, the model maps English source ...
Official implementation of Whisfusion - the first Diffusion Transformer ASR framework that fuses a Whisper encoder with a diffusion decoder for faster, non-autoregressive transcription.
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Accurate RNA splicing is essential for gene expression and human health, yet predicting how DNA sequence variations affect ...
We propose DPCrossU-Net, a dual-branch parallel encoder–decoder network that integrates convolutional and Vision Transformer representations. The encoder employs parallel CNN and ViT branches with a ...
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