In a study published in Nature Biomedical Engineering, a team led by Prof. WANG Shanshan from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with Prof. ZHANG ...
Apple's researchers continue to focus on multimodal LLMs, with studies exploring their use for image generation, ...
Fresh is an easy-to-use and poweful text editor for the terminal. It takes many things we love about modern graphical editors ...
Research team debuts the first visual pre-training paradigm tailored for CTR prediction, lifting Taobao GMV by 0.88% (p < ...
Furthermore, Nano Banana Pro still edged out GLM-Image in terms of pure aesthetics — using the OneIG benchmark, Nano Banana 2 ...
Abstract: With growing concerns about information security, protecting the privacy of user-sensitive data has become crucial. The rapid development of multi-modal retrieval technologies poses new ...
Beyond all the AI hype and headlines, here are five trends you should watch for in 2026 and beyond as AI sweeps into seafood.
Abstract: This paper addresses the problem of Multi-modal Federated Learning (MFL) over resource-limited Cell-Free massive MIMO (CF-mMIMO) networks for the application of Human Activity Recognition ...
Shop TODAY contributor Melissa Garcia shares her top picks for a New Year reset, from stylish loungewear to insulated lunch ...
The Chosun Ilbo on MSN
Motional unveils 2026 unmanned robotaxi commercialization plan
Hyundai Motor Group’s autonomous driving subsidiary ‘Motional’ publicly disclosed its technical site to the media for the ...
The official repository for MDReID: Modality-Decoupled Learning for Any-to-Any Multi-Modal Object Re-Identification [pdf] [1]Wang Yuhao, Liu Xuehu, Zhang Pingping, Lu Hu, Tu Zhengzheng, Lu Huchuan.
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