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2026-08-24 AI研究论文

2026年08月24日 AI研究论文#

今日概要#

The latest machine learning research papers are available on arXiv, with over 200 new uploads daily. arXiv is a free, open-access archive for scholarly articles in computer science and other fields. The Annotated History of Modern AI and Deep Learning is a notable paper on arXiv.


1. 200 new machine learning papers uploaded on Arxiv.#

200 new machine learning papers uploaded on Arxiv. arXiv will no longer accept Computer Science reviews and position papers

来源:https://www.reddit.com/r/MachineLearning/comments/1sqi69n/d_it_seems_that_every_day_there_are_around_100


2. arXiv.org e-Print archive#

archive

arXiv is a free distribution service and an open-access archive for nearly 2.4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics. Materials on this site are not peer-reviewed by arXiv.

Physics#

Mathematics#

Computer Science#

Quantitative Biology#

Quantitative Finance#

Statistics#

Electrical Engineering and Systems Science#

Economics#

About arXiv#

Simons Foundation Simons Foundation International Schmidt Sciences

来源:https://arxiv.org


3. [2212.11279] Annotated History of Modern AI and Deep Learning#

archive

Computer Science > Neural and Evolutionary Computing#

Title History of Modern AI and Deep Learning#

| | | --- | | Comments: | 97 pages, over 600 references. 2022 arXiv admin note: substantial text overlap with arXiv:2005.05744 | | Subjects: | Neural and Evolutionary Computing (cs.NE) | | Report number: | Technical Report IDSIA-22-22 | | Cite as: | arXiv:2212.11279 [cs.NE] | | | (or arXiv:2212.11279v3 [cs.NE] for this version) | | | Focus to learn more arXiv-issued DOI via DataCite |

Submission history#

Access Paper:#

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Current browse context:#

References & Citations#

BibTeX formatted citation#

Bookmark#

BibSonomy Reddit

Bibliographic and Citation Tools#

Code, Data and Media Associated with this Article#

Demos […] # Demos#

Recommenders and Search Tools#

arXivLabs: experimental projects with community collaborators#

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv’s community? Learn more about arXivLabs.

Simons Foundation Simons Foundation International Schmidt Sciences

来源:https://arxiv.org/abs/2212.11279


4. [arxiv-cs.AI] 汇总-2026.06.04-人工智能论文#

中文翻译:使用临床生物标志物的可解释机器学习进行阿尔茨海默病早期检测:基于阿尔茨海默病神经影像学倡议(ADNI)数据集的多类分类研究. 时间序列与

来源:https://zhuanlan.zhihu.com/p/2058205809604027116


5. Cool Papers - Immersive Paper Discovery#

Statistics (stat)

Applications (stat.AP)

Computation (stat.CO)

Machine Learning (stat.ML)

Methodology (stat.ME)

Other Statistics (stat.OT)

Statistics Theory (stat.TH)

Electrical Engineering and Systems Science (eess)

Audio and Speech Processing (eess.AS)

Image and Video Processing (eess.IV)

Signal Processing (eess.SP)

Systems and Control (eess.SY)

Economics (econ)

Econometrics (econ.EM)

General Economics (econ.GN)

Theoretical Economics (econ.TH)

The updates are synchronized with the official updates of arXiv, and the delay usually does not exceed 10 minutes. It is normally updated around 10 a.m. Beijing time on weekdays, but it may also be delayed by 1 to 2 hours. Additionally, it does not update on Saturdays, Sundays, and some international holidays (refer here). […] ## arXiv

Astrophysics (astro-ph)

Astrophysics of Galaxies (astro-ph.GA)

Cosmology and Nongalactic Astrophysics (astro-ph.CO)

Earth and Planetary Astrophysics (astro-ph.EP)

High Energy Astrophysical Phenomena (astro-ph.HE)

Instrumentation and Methods for Astrophysics (astro-ph.IM)

Solar and Stellar Astrophysics (astro-ph.SR)

Condensed Matter (cond-mat)

Disordered Systems and Neural Networks (cond-mat.dis-nn)

Materials Science (cond-mat.mtrl-sci)

Mesoscale and Nanoscale Physics (cond-mat.mes-hall)

Other Condensed Matter (cond-mat.other)

Quantum Gases (cond-mat.quant-gas)

Soft Condensed Matter (cond-mat.soft)

Statistical Mechanics (cond-mat.stat-mech)

Strongly Correlated Electrons (cond-mat.str-el)

Superconductivity (cond-mat.supr-con)

来源:https://papers.cool


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2026-08-24 AI研究论文
https://yuia.fun/posts/2026-08-24-daily-share/
作者
Moefun
发布于
2026-08-24
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CC BY-NC-SA 4.0
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