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Channel

arXiv

@ai_python_arxiv

On this record: Also posting the same content · Growth · Engagement · What this channel posts · Posts · Citations · Cite this entry

1,596subscribers

+0 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001235460204
TypeChannel
Username@ai_python_arxiv
DescriptionArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc Admins: @ffarzaddh
CreatedBetween 1 March 2018 and 30 June 2021— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held2
On Telegramt.me/ai_python_arxiv

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 1 other registered channel, found by comparing text fingerprints across every channel on the register. That matching has been checked by hand against the live Telegram pages and found reliable — 0 wrong of 45 pairs re-read.

Which channel, if either, published first is deliberately not shown. The same hand-check found that reading wrong 18 of 45 times — 60%, no better than a coin flip — because it depends on how deep our own crawl happened to reach into each channel’s history, not on when the content was actually first posted. This list is ordered by subscriber count, the same as every other listing on this site, never by which channel we think came first. Word-for-word matching has several ordinary explanations besides copying — a channel mirroring itself, an unattributed repost, or two channels independently repeating the same wire story — and this measurement cannot tell those apart. How this is measured.

Growth

1,5966 Aug 2026, 05:12 — 1,596 subscribers6 Aug 2026, 07:32 — 1,596 subscribers6 Aug 2026, 05:126 Aug 2026, 07:32
2 measurements taken within a single day. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 1,594–1,598 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
6 Aug 2026, 07:321,596no change
6 Aug 2026, 05:121,596first reading

Engagement

19 posts held, back to 11 August 2024the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 2 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
7.46%
avg views ÷ 1,596 subscribers
Avg views / post
119
1 post measured
Reaction rate
this channel exposes no reaction counts
Posts in window
1
of 19 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 29 July 2026
Posts held19 (11 August 202429 July 2026)
Views total119
Reactions total
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 17:58 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
15,500
Videos
11
Links
8,380

Lifetime counters from Telegram’s own channel header, read 7 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
1m 13s
Average length
18s

Measured directly from 4 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no mark.

Recent posts

29 Jul 2026, 17:07 UTC119 viewsread 7 August 2026
Forwarded from @AI_DeepMind

آفرهای فیلترشکن ویژه کانال برای شرایط عادی یک ماهه مناسب برای تمام وب سایتهای هوش مصنوعی و ... 50 گیگ 220 تومن 70 گیگ 350 تومن 100 گیگ 470 تومن 200 گیگ 550 تومن 300 گیگ 680 تومن و IP ثابت امریکا یک ماهه 30 گیگ 950 50 گیگ 1500 100 گیگ 2800 برای تهیه بهم پیام بدید @Farzadh1h

10 Feb 2026, 17:57 UTC925 viewsread 7 August 2026

لیست کانال و گروه های ما : ▪️ گروه هوش مصنوعی: یادگیری عمیق و... https://t.me/DeepLearningAIExperts ▪️ گروه هوش مصنوعی: پردازش زبان طبیعی https://t.me/NLPExperts ▪️ کانال دکتر میثم عسگری https://t.me/ai_person ▪️ گروه لینوکس و پایتون و سایر... https://t.me/PythonLinuxExperts با اشتراک گذاشتن این پست به دیده شدن و پیشرفت هموطنان خود کمک کنید. جایی برای پرسش و پاسخ و ارتباط با پژوهشگران علوم کامپیوتر و صنعت پیدا

20 Oct 2025, 19:03 UTC899 viewsread 7 August 2026
Forwarded from @AI_DeepMind

درود و مهر برای یک پروژه‌ی پژوهشی در زمینه‌ی «تشخیص همدلی در گفتگوهای فارسی» به کمکتون نیاز دارم. لطفاً چند دقیقه وقت بذارید و به ۲۰ موقعیت کوتاهی که در این پرسشنامه هست، یک پاسخ «واقعی و طبیعی» بدید. (انگار که واقعاً اون جمله رو از یک دوست شنیدید و می‌خواید جوابش رو تایپ کنید). پاسخ‌ها کاملاً ناشناس جمع‌آوری می‌شن. هدف ما جمع‌آوری پاسخ‌های «انسانی» و «واقعی» هست، پس لطفاً رسمی یا کتابی جواب ندید. ممنون از وقتی

20 Oct 2025, 17:00 UTC730 viewsread 7 August 2026
Forwarded from @AI_DeepMindVideo

تعریف Knowledge distillation چیه ؟ #یادگیری_عمیق #مقاله #منابع #کلاس_آموزشی #فیلم #الگوریتمها ✈️ مطالب بیشتر 🚀 @AI_DeepMind 🫗 @AI_Person

25 Aug 2025, 18:42 UTC714 viewsread 7 August 2026
Forwarded from @AI_DeepMind

لیست کانال و گروه های ما : ▪️ گروه هوش مصنوعی: یادگیری عمیق و... https://t.me/DeepLearningAIExperts ▪️ گروه هوش مصنوعی: پردازش زبان طبیعی https://t.me/NLPExperts ▪️ کانال دکتر میثم عسگری https://t.me/ai_person ▪️ گروه لینوکس و پایتون و سایر... https://t.me/PythonLinuxExperts با اشتراک گذاشتن این پست به دیده شدن و پیشرفت هموطنان خود کمک کنید. جایی برای پرسش و پاسخ و ارتباط با پژوهشگران علوم کامپیوتر و صنعت پیدا

24 Mar 2025, 12:48 UTC≈1,120 viewsread 7 August 2026
Forwarded from @AI_DeepMind

این یک تبلیغ نیست سلام دوستان اگه دنبال فیلترشکن خوب میگردین این لینک فیلترشکن رو که برای برنامه‌نویسان، گیمرها، دانشجویان، فعالین حوزه رمز ارز، فریلنسرها هست رو معرفی میکنم اینجا شما هم به فیلترشکنی قابل پشتیبان دسترسی دارین و هم کیفیت بسیار خوبی رو میتونین بگیرین و به هرچیزی که فیلتر هست دسترسی دارین ✅ خرید فیلترشکن پ.ن: خدماتشون من به شدت راضیم دوستانتون رو دعوت کنید و حجم هدیه بگیرید

3 Nov 2024, 07:59 UTC854 viewsread 7 August 2026
Forwarded from @senatelecomPhoto

استخدام کارشناس هوش مصنوعی در حوزه پردازش تصویر (در شرکت دانش بنیان ساعیان ارتباط آینده پیشرو) * حداقل یک سال سابقه برنامه‌نویسی در حوزه هوش مصنوعی و بینایی ماشین * تجربه عملیاتی کار با مدل‌های موجود در حوزه تصویر و ویدیو و دانش آموزش این مدل‌ها بر دیتاست اختصاصی * تسلط به پایتون و کتابخانه‌های پردازش تصویر و یادگیری عمیق * تسلط به لینوکس و Git * سابقه فعالیت صنعتی در زمینه پردازش تصویر و یادگیری عمیق امتیاز وی

3 Nov 2024, 07:59 UTC≈1,410 viewsread 7 August 2026
Forwarded from @senatelecomPhoto

استخدام برنامه نویس جاوا (در شرکت دانش بنیان ساعیان ارتباط آینده پیشرو) * تسلط به زبان برنامه نویسی Java * آشنایی با Spring Boot Framework * آشنایی با توسعه سرویس های در تعامل با پایگاه داده (Backend Development) * تجربه پیاده سازی وب سرویس های Restful * بکارگیری ابزارهای version control مانند Git * تسلط بر اصول طراحی و مهندسی نرم‌افزار، OOP در جاوا آشنایی با بسترهای راه‌اندازی Docker امتیاز محسوب می شود. متقاضیان

29 Oct 2024, 09:41 UTC729 viewsread 7 August 2026
Forwarded from @goftaaiVideo

📍 در کنار دیوار هستیم! 💬 گفتا، پاسخگویی آنی و ۲۴ ساعته به چت دیوار رو به کمک هوش مصنوعی فراهم می‌کنه! 🤳🏻 کافیه به این لینک مراجعه کنی و گفتا رو برای آگهی مدنظرت فعال کنی. 🎉 اولین استفاده شما از گفتا کاملا رایگان خواهد بود! 🖥 gofta.ir | 🕸 Telegram | 🔗 Linkedin | 👾 Instagram

7 Sept 2024, 18:52 UTC882 viewsread 7 August 2026
Forwarded from @AI_DeepMindPhoto

آیا #هوش_مصنوعی با توضیح خودش بهتر یاد می گیرد؟ این #مقاله به چگونگی بهبود تعمیم مدل های هوش مصنوعی و اجتناب از میانبرها را با ارزیابی توضیحات آنها بررسی می کند. ▪️ Learning by Self-Explaining #ایده_جذاب 🔸 مطالب بیشتر 👇👇 ✅ @AI_DeepMind 🔸 @AI_Person

1 Sept 2024, 09:04 UTC902 viewsread 7 August 2026
Forwarded from @AI_DeepMindPhoto

گفتگو با دکتر جلیل نورمحمدی سه شنبه ۱۳ شهریور ۱۴۰۳ ساعت ۲۱:۳۰ راجب: ▪️ Machine Translation for Azerbaijani Turkish language ▪️ مقاله مورد نظر از چالشهای یادگیری ماشین تا ایده های استارت آپی و ایده های مقاله ای صحبت خواهیم کرد. با ما با لینک زیر همراه باشید. کمک بزرگی به دیگران خواهد کرد اگر هر گروه یا کانالی دارین اطلاع رسانی کنین.

30 Aug 2024, 19:04 UTC770 viewsread 7 August 2026
Forwarded from @Recomendersystem2023Photo

شرکت NVIDIA مدلي به نام NVEagle را عرضه کرده که یک مدل پیشرفته برای ترکیب بینایی و زبان است. این مدل در سه نسخه 7B، 13B و 13B بهینه‌سازی‌شده برای چت ارائه شده است. این مدل از روش‌های مختلفی برای ادغام خروجی‌های انکودرهای تصویر و استفاده از متخصصین مختلف (MoE) بهره می‌برد. در این مدل، برای ادغام تخصص‌ها، خروجی‌های انکودرهای تصویر از طریق concatenation به هم متصل می‌شوند و سپس مرحله‌ای به نام "pre-alignment" اجرا می‌ش

Showing the 12 most recent of 19 posts we hold for @ai_python_arxiv. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 6 August 2026 — this entry's latest reading, not the date you are reading this.

“arXiv” (@ai_python_arxiv), 1,596 subscribers as measured 6 August 2026. Telegram Register, tgregister.com/channel/ai_python_arxiv.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.