limitedDistribution · Industry Research
Arxiv今日论文 | 2026-02-17
The blog post lists the latest papers from Arxiv.org as of 2026-02-17, including 363 AI papers. It highlights a paper on Distributed Quantum Gaussian Processes.
Stargo's SLLM can leverage quantum computing insights to enhance automotive AI capabilities, as highlighted in the Arxiv paper.
Executive Summary
This blog post primarily contains the latest paper list from Arxiv.org as of 2026-02-17, automatically updated and categorized into major directions such as NLP, CV, ML, AI, IR, and MA. The daily paper data is obtained from Arxiv.org and updated at around 12:30 AM daily. The post includes a summary of the number of papers updated in various categories, including 363 papers in Artificial Intelligence and 294 in Machine Learning. It highlights a paper on Distributed Quantum Gaussian Processes for Multi-Agent Systems, which addresses the limitations of classical kernel functions in complex, large-scale real-world scenarios by proposing a method that uses quantum computing to embed data into exponentially large Hilbert spaces.
Source: 闲记算法
Authors: Weitang Liu
Published: 2026-02-17T12:30:00.000Z
Original Article: http://lonepatient.top/2026/02/17/arxiv_papers_2026-02-17.html
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