3 measurements spanning 3 days, net +1. 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 83–84 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
9 Aug 2026, 17:15
84
no change
7 Aug 2026, 00:54
84
+1
6 Aug 2026, 06:36
83
first reading
Engagement
20 posts held, back to 29 July 2026 — 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 pageof Telegram’s post history, 20 posts per page.
ERR · 30 days
84.6%
avg views ÷ 84 subscribers
Avg views / post
71.1
20 posts measured
Reaction rate
4.12%
reactions ÷ views · ER floor
Posts in window
20
of 20 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. It is computed over the 19 of 20 measured posts that carry a reaction reading, and over those same posts' views.
What these figures were computed from
Window
Rolling 30 days · latest post in window 9 August 2026
Posts held
20 (29 July 2026 – 9 August 2026)
Views total
1,422
Reactions total
56
Forwards / comments
not exposed by the public surface — not measured, not estimated
Readings taken
9 Aug 2026, 17:15 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
77
Videos
4
Links
104
Lifetime counters from Telegram’s own channel header, read 9 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. Below Telegram’s rounding threshold, so these counts are exact.
Reaction mix
56 reactions across 19 posts, in 4 distinct kinds. The most used accounts for 91.1% of them.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
51
91.1%
👏
2
3.57%
🔥
2
3.57%
👍
1
1.79%
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 19 of the 20 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 56reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 20 most recent posts we hold, published 29 July 2026 to 9 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.
📚✨ روز جهانی کتابخوانها مبارک!
کتاب فقط چند صفحه کاغذ نیست؛ پنجرهای است به جهانهای تازه، ایدههای نو و رویاهایی که میتوانند مسیر زندگیمان را تغییر دهند. 🌱💫
#روز_جهانی_کتاب_خوان_ها #انجمن_علمی_هوش_مصنوعی
#دانشگاه_علوم_پزشکی_تربت_حیدریه
https://t.me/AI_THUMS🤖
بیش از ۳۰,۰۰۰ تا Prompt رایگان برای عکس و ویدیو توی این وبسایت هست‼️ و هر روزم آپدیت میشه 🔥
🎁 ثبتنام رایگانه و میتونید اکانت بسازید
🖼️ Image Prompts
دستهبندی جدا برای پرامپتهای تصویری.
🎬 Video Prompts
هر چی برای ساخت ویدیو با هوش مصنوعی لازم دارید.
🌐 Website Prompts
برای ساخت و طراحی وبسایت.
🤖 بر اساس مدل های هوش مصنوعی هم دستهبندی شده، پس دقیقاً همونی که باهاش کار میکنید رو پیدا میکنید.
📋 هر پرامپتی رو خو…
🏆درخشش ایران در المپیاد جهانی هوش
مصنوعی
تیم ایران در سومین دوره المپیاد جهانی هوش مصنوعی (2026) (IDA) که در آستانه قزاقستان برگزار شد موفق به کسب یک مدال طلا دو نقره و یک برنز شد.
شایان رضازاده مدال طلا محمدرضا درویشی و محمد امین نظم فر دو مدال نقره و مانی منجی پور مدال برنز را به دست آوردند این نتیجه در رقابت با بیش از ۵۰۰ شرکت کننده از کشورهای مختلف به دست آمده و نسبت به دوره قبل که دو نقره و دو برنز بود بهبود ی…
📄 مقاله معرفی شده
عنوان مقاله :
هوش مصنوعی و چشم سوم در رادیو لوژی
#معرفی_مقاله_هوش_مصنوعی
#انجمن_علمی_هوش_مصنوعی
#دانشگاه_علوم_پزشکی_تربت_حیدریه
https://t.me/AI_THUMS 🤖
🧠 هوش مصنوعی و "چشم سوم" در رادیولوژی!
تا حالا فکر کردی وقتی یک اسکن CT یا ماموگرافی انجام میشه، هوش مصنوعی چطور میتونه مثل یک دستیارِ خستگیناپذیر در کنار رادیولوژیست عمل کنه؟ 🧐
تازهترین مقالات علمی نشون میده که AI دیگه فقط یه ابزار ساده نیست؛ بلکه داره به استانداردی برای دقت در تشخیص تبدیل میشه.
چرا این مقاله مهمه؟
مقاله جدیدی که در مجله Radiology: Artificial Intelligence منتشر شده، بررسی کرده که چطور مدله…
📰 خبر خوب برای کاربرای رایگان ChatGPT؛ محدودیت چت متنی حذف میشه!
▪️شرکت OpenAI اعلام کرده از هفته آینده کاربران پلنهای Free و Go میتونن بدون محدودیت با ChatGPT بهصورت متنی گفتگو کنن؛ یعنی دیگه خبری از سقف پیامهای متنی نیست. البته محدودیت ارسال فایل، عکس و قابلیتهای چندرسانهای همچنان سر جاش میمونه.
▪️همزمان قابلیت Think هم برای کاربران رایگان فعال میشه تا ChatGPT برای سؤالهای سختتر، زمان بیشتری صرف تحلیل و ا…
💡 هوش مصنوعی فقط مشاغل را تغییر نداده، بلکه فرصتهای شغلی کاملاً جدیدی هم خلق کرده است.
🚀 AI Researcher
(پژوهشگر هوش مصنوعی)
هوش مصنوعی مشاغل جدیدی ایجاد کرده که یکی از مهمترین آنها AI Researcher است. این متخصصان با تحقیق و توسعه الگوریتمهای هوش مصنوعی، فناوریهای هوشمند را بهبود میدهند و راهکارهای نوآورانه برای حل مسائل مختلف ارائه میکنند.
✅ مزایا: • درآمد و فرصت شغلی بالا
• فعالیت در پروژههای نوآورانه
• امکا…
⚖️ اگر هوش مصنوعی اشتباه کند، چه کسی پاسخگو است؟
امروزه هوش مصنوعی در حال تغییر شیوه زندگی، آموزش، پزشکی، کسبوکار و تولید محتواست؛ اما یک سؤال مهم همیشه مطرح است:
اگر AI اشتباه کند، مسئولیت با چه کسی است؟ 🤔
پاسخ کوتاه این است:
🔹 هوش مصنوعی مسئولیت حقوقی و اخلاقی ندارد. در بیشتر موارد، مسئولیت بر عهده انسان یا سازمانی است که از آن استفاده میکند.
📌 به همین دلیل، قبل از اعتماد به خروجی AI:
✅ اطلاعات را بررسی و راستی…
🧠 کاربرد هوش مصنوعی در رادیولوژی؛ تحولی در تصویربرداری پزشکی
🤖 امروزه هوش مصنوعی به یکی از مهمترین فناوریهای مورد استفاده در حوزه تصویربرداری پزشکی تبدیل شده است. این فناوری با استفاده از الگوریتمهای یادگیری ماشین و یادگیری عمیق، قادر است حجم زیادی از تصاویر پزشکی را در مدت زمان کوتاهی تحلیل کرده و یافتههای مشکوک را شناسایی کند.
🩻 برخی از مهمترین کاربردهای هوش مصنوعی در رادیولوژی عبارتاند از:
🔹 کمک به تشخیص س…
🕯سخن بزرگان
زمان طولانی ترین فاصله میان دو مکان است.
"Time is the longest distance between two places."
✍️Tennessee Williams
#سخن_بزرگان
#انجمن_علمی_هوش_مصنوعی #دانشگاه_علوم_پزشکی_تربت_حیدریه
🚀 AI Bridge 2026 | پلی میان دانشگاه، صنعت و آینده
از پژوهش تا محصول | از ایده تا بازار
هوش مصنوعی دیگر یک فناوری آینده نیست؛ امروز نیروی محرک تحول در صنعت، کسبوکار و پژوهش است.
AI Bridge 2026 رویدادی است که برای ایجاد ارتباطی واقعی میان دانشگاه، صنعت و بخش خصوصی طراحی شده؛ جایی که پژوهشگران، مدیران، متخصصان، کارآفرینان و علاقهمندان هوش مصنوعی گرد هم میآیند تا درباره مسیر تبدیل ایده به محصول، توسعه فناوری، تجاری…
Showing the 12 most recent of 20 posts we hold for @AI_THUMS. 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 — 197,620 of 1,160,990entries 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
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.
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 9 August 2026 — this
entry's latest reading, not the date you are reading this.
“AI | THUMS” (@AI_THUMS), 84 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/AI_THUMS.
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.