Education — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 21 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and why it has no browse page of its own yet.
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.
7 measurements spanning 37 days, net -4. 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 486–496 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
12 Sept 2026, 02:18
487
-3
4 Sept 2026, 12:58
490
-1
28 Aug 2026, 03:36
491
-4
20 Aug 2026, 22:24
495
+1
14 Aug 2026, 20:27
494
+3
6 Aug 2026, 18:47
491
no change
6 Aug 2026, 04:47
491
first reading
Engagement
14 posts held, back to 25 February 2025 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 page of Telegram’s post history, 20 posts per page.
Nothing published in the last 30 days. ERR and ER are rolling 30-day measures, so there is nothing to compute — we hold 14 posts for this entry, the most recent from 13 December 2025. An engagement rate over an empty window would be a number about nothing.
Reaction mix
11 reactions across 5 posts, in 3 distinct kinds. The most used accounts for 81.8% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
9
81.8%
👍
1
9.09%
🔥
1
9.09%
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 6 of the 14 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 11 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 14 most recent posts we hold, published 25 February 2025 to 13 December 2025, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
معرفی مهمانان فرصتهای تحصیلی تحقیقاتی: آلمان
استارتاپ دکتر مجوکیشن برگزار میکند:
👩⚕️مهمان: دکتر پرنیان صابری
کاندید دکترای علوم اعصاب رفتاری، دانشگاه Philipps University Marburg، آلمان
همکار پژوهشی در دانشگاه KU Leuven، بلژیک
دستیار پژوهشی در موسسه Ifado دورتموند، آلمان
دستیار پژوهشی در دپارتمان biopsychology در Ruhr University Bochum، آلمان
⏰شنبه، 22 آذر 1404 | 13december
ساعت 18:30 تا 20
🎓شرایط تحصیلی و …
🏫دانشگاه علوم پزشکی ایران با همکاری استارتاپ دکتر مجوکیشن برگزار میکند
💻 اینجا خودت مهندسی هوش مصنوعی میشی
مسیر، تجربه و مهارت رو با هم یاد میگیری
🔝 با تدریس و آموزش نخبگان و اساتید بالینی، فنی و مهندسی کشور
📍با حمایت و جذب عضو برترین اعضا در ایدەهای پروژههای مبتی بر هوش مصنوعی استارتاپ
📌 با صدور سرتیفیکیت معتبر انگلیسی
📍 Online & Offline
⏳ 2026 | 20 Sessions ⏰
🔗 لینک حضور:
📱 https://mohit.online/course…
✔️ جامعترین و معتبرترین دوره نوروفارماکولوژی کشور با ۵۰۰.۰۰۰.۰۰۰ میلیون ریال جایزه نقدی ⁉️
🔬🧑🔬 تشکیل تیم پژوهشی از سه نفر برتر رقابت
🏫👨🏻⚕️ با حضور متخصصین و دانشجویان برتر حیطه علوم اعصاب و روان 🧠
🧑🏫کمک آموزش مبتنی بر هوش مصنوعی
📋فلش کارت
📚خلاصه رفرنس
🚴♂️ ثبتنام مسابقه نورولمپیاد:
https://mohit.online/event/p37w3q
💻 دوره جامع نوروفارماکولوژی (منبع مسابقه):
https://mohit.online/course/36wmh6
🎁 ۵۰٪+۱۵٪ تخ…
💻 هوش مصنوعی چه انقلابی در پزشکی و نوروساینس ایجاد کردە است؟
🔝 این بار با حضور نخبگان و اساتید فنی و بالینی کشور
🧠 دانشگاه علوم پزشکی ایران با حمایت ستاد توسعه علوم و فناوریهای شناختی برگزار میکند
📍با حمایت و منتورینگ ایدەهای برتر پژوهشی و کسب و کاری از جانب شرکت کنندگان
📌 همراه با پرسش و پاسخ
📌 با صدور سرتیفیکیت معتبر انگلیسی
🔗 لینک حضور:
📱 https://mohit.online/course/f9vhrw
📱 @AI_Departmentt
📱 Instagram
🙌استارتاپ ما داره تولید محتوا با هوش مصنوعی رو استارت میزنه
👨🏻🏫هم خودمون از نقطه صفر تا صدر رو آموزش میدیم
و
👩💻هم خودمون محتوا رو منتشر میکنیم
🗓️ در سه ماهه اول محتوای تولیدی آموزشی، تیزر معرفی محصولات و افراد موفق همکار با مجموعه هست
اگر مشتاق به حضور هستید🔙این لینک رو پر کنید
و توی کانالمون ➡️ جوین بشید
@dr_meducation
📈پلهای برای شبکه سازی و رزومه بین المللی🔼
📈حضور در کنگرههای علمی پژوهشی🧬
💯امتیازات و شرایط حضور در کنگرهها
📜نحوه سابمیت مقاله و پوستر در کنگرهها
👩⚕️👨💼با آموزش و انتقال تجربه ۴ ریسرچر جوان بینالمللی🌎
⛔️به دلیل شرایط جنگی این رویداد با تعویق چهار ماهه در پاییز برگزار خواهد شد
🧾همراه با گواهی معتبر انگلیسی
🔗مطالعه سرفصلها و ریجستریشن کارگاه:
https://mohit.online/course/z90dcy
🎁 ۱۰۰٪ تخفیف برای ۱۰ نفر➕۵۰٪ تخ…
🔖🌟اولین دوره جامع مقاله نویسی با هوش مصنوعی در ایران
👈 اینجا هوش مصنوعی، بهترین تیم و همکاری پژوهشی شما خواهد شد
0️⃣1️⃣ ساعت آموزش برای سرعت 0️⃣1️⃣ برابری در ریسرچ
🔗 لینک ثبتنام دوره:
https://m0h.ir/a6z0a7
🎁 90% تخفیف همکاری
دریافت تخفیف شرایط همکاری:
@ResearchShip_bot
👩🏼💻@researchship
‼️🎈اینجا فضاییه که یه درآمد کوچیک رو در کنار تجربه و یادگیری، بدون زحمت خاصی تجربه میکنی
مژده برای دانشجویان سراسر کشور 😃👋
جذب عضو مجدد برای دانشجوایی که هم دنبال تجربەان هم درآمد با زحمت پایین و هم استفاده از آموزش رایگان تیم های مختلف آموزشی؟ 😄
🤞اگه مشتاق هستی با پلتفرم کورسنار وارد همکاری بشی، اول شرایط رو اینجا مطالعه کن بعد اطلاعاتت رو همونجا بفرست 😉
@Coursenar
🧠🫀ششمین مسابقه علمی نورولمپیاد🏅
🏆 0️⃣5️⃣ میلیون تومان جایزه برای 0️⃣0️⃣1️⃣نفر
🧠 با طعم جایزه مغز و داروهای اعصابمونو یاد بگیریم 🩻😉
👨🏻🎓👩🏻🎓 بدون محدودیت رشته
همراه با دوره مکمل 😊
و
🧑🏫آموزش مبتنی بر هوش مصنوعی
📋فلش کارت
📚خلاصه رفرنس
🚴♂️ ثبتنام مسابقه نورولمپیاد:
https://mohit.online/event/p37w3q
💻 دوره جامع نوروفارماکولوژی (منبع مسابقه):
https://mohit.online/course/36wmh6
دوره نوروفارماکولوژی به همراهی فلاش کا…
📈پلهای برای شبکه سازی و رزومه بین المللی🔼
📈حضور در کنگرههای علمی پژوهشی🧬
💯امتیازات و شرایط حضور در کنگرهها
📜نحوه سابمیت مقاله و پوستر در کنگرهها
👩⚕️👨💼با آموزش و انتقال تجربه ۴ ریسرچر جوان بینالمللی🌎
🧾همراه با گواهی معتبر انگلیسی
🔗مطالعه سرفصلها و ریجستریشن کارگاه:
https://mohit.online/course/z90dcy
🎁 ۱۰۰٪ تخفیف برای ۱۰ نفر➕۵۰٪ تخفیف برای ۵۰ نفر
🎁شرایط تخفیف و همکاری👈 @Researchship_bot
📱 @Researchship
جلسه راس ساعت ١٦ با حضور دکتر مرادی برگزار خواهد شد
https://m0h.ir/h45nw3
Showing the 12 most recent of 14 posts we hold for @AI_departmentt. 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
Republishes
Channels on the register whose posts this channel has forwarded.
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
Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.
Named by
Channels on the register whose posts name this channel's handle.
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.
Handles this channel named that no longer answer
Dead references
1
handles named in this channel’s posts, vacant today
Evidenced gone
0
we ourselves saw one of these resolve, at some point
Never seen alive
1
vacant every time we have ever looked
@AI_departmentt named 1 handle that resolve to nothing today. That is a fact about the reference, not necessarily a fact about the handle’s history — see the two groups below.
Most of these may never have existed as a live channel at all. A handle a channel names can be a typo, an aspirational name nobody registered, or a channel that was already gone before this one ever mentioned it. Unless a row below is marked evidenced, all we know is that it references a handle that is not a live channel today — not that anything “died”. How this is measured.
Never seen alive
References a handle that is not a live channel — we have no record it ever was one.
@ai_department named in 1 post, 8 August 2026 – 8 August 2026
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 12 September 2026 — this
entry's latest reading, not the date you are reading this.
“Artificial Intelligence Departments” (@AI_departmentt), 487 subscribers as measured 12 September 2026. Telegram Register, tgregister.com/channel/AI_departmentt.
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.