Telegram RegisterThe public register of Telegram

Channel

هوش مصنوعی (Artificial Intelligence)

@Artificial_intelligence_center

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Citations · Cite this entry

6,181subscribers

+43 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 3,162–10,000.

Register entry

Telegram ID-1001112198163
TypeChannel
Username@Artificial_intelligence_center
CreatedBetween 1 February 2017 and 28 February 2019— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live12 August 2026
Measurements held4
Confirmed unchanged1 time, most recently 12 August 2026
On Telegramt.me/Artificial_intelligence_center

Growth

6,1376,1816,1596 August 2026 — 6,138 subscribers7 August 2026 — 6,137 subscribers9 August 2026 — 6,176 subscribers12 August 2026 — 6,181 subscribers6 August 202612 August 2026
4 measurements spanning 6 days, net +43. 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 6,130–6,188 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
12 Aug 2026, 19:136,181+5
9 Aug 2026, 19:536,176+39
7 Aug 2026, 05:036,137-1
6 Aug 2026, 08:016,138first reading

Engagement

30 posts held, back to 24 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 9 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
19.9%
avg views ÷ 6,181 subscribers
Avg views / post
1,230
30 posts measured
Reaction rate
0.608%
reactions ÷ views · ER floor
Posts in window
30
of 30 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 11 August 2026
Posts held30 (24 July 202611 August 2026)
Views total36,843
Reactions total224
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken12 Aug 2026, 03:27 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

Video runtime
10m 41s
Average length
1m 32s

Measured directly from 7 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.

Reaction mix

224 reactions across 30 posts, in 21 distinct kinds. The most used accounts for 37.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
8537.9%
👏5625.0%
👍135.80%
😁114.91%
🥴104.46%
😐94.02%
🙏62.68%
❤‍🔥52.23%
🎉52.23%
🏆52.23%
💯41.79%
🌚20.893%
👀20.893%
👾20.893%
🤯20.893%
🤷20.893%
💊10.446%
😍10.446%
😢10.446%
🤔10.446%
1 further kind10.446%

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 30 of the 30 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 224reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 30 most recent posts we hold, published 24 July 2026 to 11 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Recent posts

11 Aug 2026, 10:04 UTC375 views4 reactionsread 12 August 2026
Photo

یک هکر با هوش‌مصنوعی Claude راه دریافت بلیت رایگان جشنواره‌های موسیقی آمریکا را پیدا کرد. ایان کارول، پژوهشگر امنیتی، در ماه آوریل با استفاده از هوش‌مصنوعی Claude Opus 4.7 توانست به سیستم‌های شرکت Front Gate Tickets نفوذ کند. این شرکت مدیریت بلیت‌فروشی تقریباً تمام جشنواره‌های موسیقی بزرگ آمریکا ازجمله Lollapalooza و Austin City Limits را برعهده دارد. کارول متوجه شد که با استفاده از یک باگ در این وب‌سایت، می‌تواند ب

😁21👾1

Signed Mahdi Saadati

10 Aug 2026, 18:49 UTC513 views7 reactionsread 12 August 2026
Video

هوش‌مصنوعی زباله‌ها را تفکیک می‌کند. یک سطل هوشمند مجهز به هوش‌مصنوعی که پس از قرار دادن زباله در آن، نوع زباله را تشخیص می‌دهد و آن را به بخش مربوطه هدایت می‌کند. پس از هر دسته‌بندی، صفحه نمایش از کاربر می‌پرسد که آیا تشخیص صحیح بوده است یا خیر. با این روش دیگر نیازی به استفاده از چند سطل جداگانه نیست و فرآیند جداسازی به‌صورت خودکار انجام می‌شود. #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Cen

3👏3👍1

Signed Mahdi Saadati

10 Aug 2026, 15:49 UTC547 views3 reactionsread 12 August 2026
Photo

جریمه‌های سنگین برای تاکسی‌های خودران ویمو خودروهای خودران ویمو از زمان ورود به شهر آستین تگزاس در سال ۲۰۲۴، با چالش‌های جدی در رعایت قوانین پارک مواجه شده‌اند. اسناد منتشر شده نشان می‌دهند که این وسایل نقلیه به‌ دلیل توقف در مناطق ممنوعه و پارک غیرمجاز، مجموعا ۹۳۲۵ دلار جریمه شده‌اند. سنگین‌ترین جریمه‌ی ثبت‌شده با مبلغ ۵۱۹ دلار مربوط به پارک در محل ویژه معلولان است. با وجود این تخلفات، ایمنی خودروهای ویمو همچنان در

😁3

Signed Mahdi Saadati

10 Aug 2026, 05:40 UTC870 views19 reactionsread 12 August 2026
Photo

دانشگاه استنفورد دوره های آموزشی کلاس های هوش‌مصنوعی خود را به طور کامل در YouTube منتشر کرده است. Deep Learning Transformers & LLMs Language Models from Scratch ML from Human Feedback Computer Vision LLM Evaluation & Scaling #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

13🙏4💯2

Signed Mahdi Saadati

9 Aug 2026, 18:04 UTC707 views5 reactionsread 12 August 2026
Photo

روی خطرناک هوش‌مصنوعی: پزشک‌های غیر واقعی در پلتفرم‌های متا جولان می‌دهند. پزشکان و مبلغان سلامت که با استفاده از هوش‌مصنوعی ساخته شده‌اند، در فیسبوک و اینستاگرام و لینکدین با ارائه توصیه‌های پزشکی نادرست، به دنبال فروش مکمل‌های مشکوک هستند. این ویدیوها با استفاده از آواتارهای شبیه‌سازی‌ شده در قالب متخصصان یا پزشکان معتبر، اعتماد مخاطبان را جلب می‌کنند. در برخی از این تصاویر حتی از مدارک تحصیلی جعلی استفاده شده تا

3🌚1💊1

Signed Mahdi Saadati

9 Aug 2026, 11:54 UTC≈1,020 views9 reactionsread 12 August 2026
Photo

هوش‌مصنوعی جدید ChatGPT توانست ۱۰ مسئله مهم ریاضی و کوانتوم را حل کند. مدل هوش‌مصنوعی Astra از توسعه‌ دهندگان OpenAI موفق شد ۱۰ مسئله دشوار ریاضی و کوانتوم را که حداقل یک دهه بدون پیشرفت مانده بودند، حل کند. این دستاورد شامل حوزه‌های متنوعی از جمله هندسه ابعاد بالا، نظریه کدگذاری، پیچیدگی کوانتومی و رمزنگاری شبکه‌محور می‌شود. محاسبات انجام‌ شده با استفاده از مدل Sol حدود دو هزار دلار هزینه داشته است. متخصصان پس از ی

👏6🎉2🏆1

Signed Mahdi Saadati

8 Aug 2026, 20:04 UTC816 views3 reactionsread 12 August 2026
Video

ربات‌ سگ زنجیرشده که تلاش می‌کند فرار کند و حمله کند! این ویدیو بخشی از یک اینستالیشن هنری تاثیرگذار به نام Dynamics of a Dog on a Leas اثر هنرمند ژاپنی تاکایوکی تودو است. یک ربات‌ سگ واقعی را با زنجیر بسته‌اند و طوری برنامه‌ریزی کرده‌اند که به سمت تماشاگران حمله‌ور شود. شما چه حسی نسبت به این صحنه دارید؟ ترحم؟ ترس؟ یا کنجکاوی؟ #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

😐2👾1

Signed Mahdi Saadati

8 Aug 2026, 06:54 UTC949 views4 reactionsread 12 August 2026
Photo

چت متنی درون هوش مصنوعی ChatGPT نامحدود و رایگان شد. محدودیت چت متنی در ChatGPT برای کاربران رایگان حذف شد و از این به بعد می توانید به صورت نامحدود و به صورت متنی با این هوش مصنوعی کار کنید. #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

👏4

Signed Mahdi Saadati

8 Aug 2026, 05:00 UTC848 views8 reactionsread 12 August 2026
Photo

کارگاه آشنایی با هوش مصنوعی همه منظوره Claude دکتر مهدی سعادتی دکترای هوش مصنوعی هیات علمی علوم پزشکی مازندران برای اطلاع و شرکت در رویدادهای بیشتر، از طریق ربات تلگرامی زیر و در کمتر از ۳۰ ثانیه، عضو انجمن هوش مصنوعی شوید: @Mazumsaibot #هوش_مصنوعی ai.mazums.ac.ir @Artificial_Intelligence_Center

👍52💯1

Signed Mahdi Saadati

7 Aug 2026, 16:40 UTC≈1,160 views7 reactionsread 12 August 2026

مترجم هوش مصنوعی ChatGPT به‌ تازگی سرویس مترجم‌ ChatGPT راه افتاده که شبیه Google Translate است. یعنی هر متنی را بدید سریعاً به زبان مقصد ترجمه می‌کند. بیش از 40 زبان را پشتیبانی می‌کند که خوشبختانه یکی از آن‌ها زبان فارسی است. برای استفاده به لینک زیر بروید: https://chatgpt.com/translate/ #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

7

Signed Mahdi Saadati

6 Aug 2026, 05:16 UTC982 views8 reactionsread 12 August 2026
Photo

دومین رویداد تابستانه هوش مصنوعی دانشگاه علوم پزشکی مازندران مرکز و انجمن هوش مصنوعی دانشگاه علوم پزشکی مازندران برگزار میکند. دکتر مهدی سعادتی دکترای هوش مصنوعی هیات علمی علوم پزشکی مازندران برای اطلاع و شرکت در رویدادهای بیشتر، از طریق ربات تلگرامی زیر و در کمتر از ۳۰ ثانیه، عضو انجمن هوش مصنوعی شوید: @Mazumsaibot #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

7💯1

Signed Mahdi Saadati

5 Aug 2026, 18:15 UTC896 views2 reactionsread 12 August 2026
Video

به نظر شما اثری که با کمک هوش مصنوعی و یک ربات درست شده، اثر هنری است؟ #هوش_مصنوعی ai.mazums.ac.ir @Mazumsaibot @Artificial_Intelligence_Center

🤷2

Signed Mahdi Saadati

Showing the 12 most recent of 30 posts we hold for @Artificial_intelligence_center. 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.

Citation-graph rank

Citation-graph rank — 97,245 of 1,189,255entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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 9 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.

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 12 August 2026 — this entry's latest reading, not the date you are reading this.

“هوش مصنوعی (Artificial Intelligence)” (@Artificial_intelligence_center), 6,181 subscribers as measured 12 August 2026. Telegram Register, tgregister.com/channel/Artificial_intelligence_center.

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.