Abstract: Financial news summarization (FNS) has been an attractive research problem in recent years, which aims to generate a shorter highlight of the news article while preserving key factual ...

Abstract: In complex scenes, dynamic background, illumination variation, and shadow are important factors, which make conventional moving object detection algorithms suffer from poor performance. To ...

A new 3D image projection system marks a major step toward overcoming a longstanding problem for holographic technology.

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

A study published in Nature Physics provides new molecular-level evidence from simulations that liquid water is not a single ...

Elon Musk's Neuralink, a decade-old venture, is pushing beyond brain-to-computer control. The company aims for ...

Multiview isn't a feature you bolt on. It's an architecture decision that shapes which devices you can reach, how much you pay to operate at scale, and how much control your product team has over the ...

Multimodal AI models are supposed to handle ever-longer documents, but how they're trained to do so usually stays a trade secret. A new study shows that character recognition as a training task ...

The official release of our project Conic10K, a large-scale dataset for closed-vocabulary math problem understanding and reasoning. The paper "CONIC10K: A Challenging Math Problem Understanding and ...

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The model learns both tasks jointly through multi-task training. MoNuSeg serves as feature transfer for nuclear instance segmentation, where the frozen HiGATE encoder provides hierarchical features to ...