Transformer in artificial intelligence has become the core technology behind most modern AI systems. Since the breakthrough 2017 research paper “Attention Is All You Need” by scientists at Google, the ...

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 ...

Open-source OCR from Baidu eliminates the GPU memory wall that limits long-document parsing. Unlimited OCR uses a constant KV ...

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 ...

These local LLMs are changing the game in lots of fun ways.

Meta recently open-sourced Brain2Qwerty v2, a noninvasive Brain–Computer Interface (BCI) that can decode sentences from ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

An annotated implementation of the Transformer paper. - harvardnlp/annotated-transformer ...

To address this challenge, this paper proposes the Graph Attention Enhanced Scale-Aware Inverted Transformer (GAESA-iFormer), a novel surrogate modeling framework integrating a Graph Attention Network ...