Technology — 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 26 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.
Growth
8 measurements spanning 50 days, net +120. 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 21–177 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)
Subscribers
Change
26 Sept 2026, 07:16
159
+23
11 Sept 2026, 19:17
136
+13
3 Sept 2026, 10:48
123
+21
27 Aug 2026, 16:15
102
+14
21 Aug 2026, 06:13
88
+29
15 Aug 2026, 02:57
59
+20
10 Aug 2026, 19:46
39
no change
6 Aug 2026, 22:02
39
first reading
Engagement
20 posts held, back to 9 June 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 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 20 posts for this entry, the most recent from 7 August 2026. An engagement rate over an empty window would be a number about nothing.
Reaction mix
12 reactions across 7 posts, in 1 kind.
Every reaction kind recorded on the sample, most used first
Reaction
Count
Share
Share, drawn
❤
12
100.0%
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 7 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 12 reactions 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 9 June 2026 to 7 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.
🚀 فراخوان بزرگ همکاری با انجمن علمی هوش مصنوعی و اینترنت اشیا (AIoT) دانشگاه شیراز
آیا به دنیای تکنولوژی، کار تیمی و تولید محتوای دیجیتال علاقهمندید؟ جای شما در تیم ما خالیست!
انجمن AIoT برای گسترش فعالیتهای علمی و رسانهای خود، از دانشجویان خلاق، باانگیزه و پرانرژی دعوت به همکاری میکند.
🎯 زمینههای همکاری:
🎙 پادکست و گویندگی: مجری، نویسنده و ایدهپرداز
📝 ترجمه: مترجم متون و ویدیوهای تخصصی هوش مصنوعی
🎨 گرافیک…
🚀 #هوش_ابزار | ابزار Perplexity AI
یه کلام:
اگر برای پیدا کردن پاسخ سؤالاتت بین دهها سایت جستوجو میکنی، Perplexity AI اینجاست تا با کمک هوش مصنوعی، جوابهای دقیق، بهروز و همراه با منابع معتبر رو در اختیارت بذاره!
🔍 این ابزار دقیقاً چیکار میکنه؟
یک موتور جستوجوی مبتنی بر هوش مصنوعی هست که با جستوجوی همزمان در وب، پاسخ سؤالات رو بهصورت خلاصه، دقیق و همراه با لینک منابع ارائه میده. برخلاف موتورهای جستوجوی …
🚀 #هوش_ابزار | ابزار NotebookLM
یه کلام:
اگر برای مطالعه، تحقیق و بررسی حجم زیادی از مقاله، جزوه و فایلهای مختلف دنبال یک دستیار هوش مصنوعی هستید، NotebookLM اینجاست تا با کمک هوش مصنوعی، منابع شما رو سریعتر تحلیل و سازماندهی کنه!
🔍 این ابزار دقیقاً چیکار میکنه؟
یک دستیار هوش مصنوعی از شرکت Google هست که بر اساس منابعی که خودتون بهش میدید کار میکنه. میتونید فایلهایی مثل PDF، اسناد و منابع متنی رو بهش بدید …
🚀 #هوش_ابزار | ابزار Claude
یه کلام:
اگر برای تحلیل، تحقیق، برنامهنویسی و کار با متنهای طولانی دنبال یک دستیار هوش مصنوعی قدرتمند هستید، Claude اینجاست تا با کمک هوش مصنوعی، کارهای پیچیده رو سریعتر و سادهتر کنه!
🔍 این ابزار دقیقاً چیکار میکنه؟
یک دستیار هوش مصنوعی پیشرفته از شرکت Anthropic هست که میتونه متن تولید و ویرایش کنه، فایلها و اسناد رو تحلیل کنه، به سؤالات پیچیده پاسخ بده و در برنامهنویسی و کدنویسی…
انجمن علمی AI و IoT دانشگاه شیراز و انجمن زیست شناسی دانشگاه شیراز با همکاری دیگر انجمن ها برگزار میکند:
🧪 دوره جامع آموزشی GraphPad Prism 📊
👨🏫 مدرس :
دکتر محمدباقر شاهسونی
• فارغالتحصیل رشته زیستشناسی سلولی و مولکولی دانشگاه شیراز
• پژوهشگر پسادکتری مرکز تحقیقات بیوشیمی و بیوفیزیک (IBB) دانشگاه تهران
🗓️ زمان برگزاری:
دوشنبه ۷ و ۸ و ۹ مرداد
🕕 ساعت: ۱۸:۰۰
📍 محل برگزاری:
آنلاین
https://vroom.shirazu.ac.ir/el…
🚀 #هوش_ابزار | ابزار Gamma
✨ یه کلام:
اگر برای ساخت ارائههای حرفهای زمان کافی یا مهارت طراحی ندارید، Gamma اینجاست تا به کمک هوش مصنوعی، در عرض چند دقیقه اسلایدهایی چشمنواز و آمادهی ارائه براتون تولید کنه!
🔍این ابزار دقیقاً چیکار میکنه؟
یه پلتفرم هوشمند برای ساخت سریع فایلای ارائه ست! فقط کافیه متن خام رو بهش بدیتا محتوای ساختاریافته رو همراه با یک طراحی مدرن بهت تحویل بده.
⚙️ مهمترین قابلیتها:
▫️ تولید …
🚀 #هوش_ابزار !
هوش مصنوعی در حال تغییر دنیای ماست، اما از بین صدها ابزار موجود، کدامیک واقعاً به درد ما میخورند؟ 🤔
برای پاسخ به این سوال، انجمن AIoT از این هفته، #هوش_ابزار رو آغاز میکنه.
ما هر هفته یه ابزار کاربردی هوش مصنوعی رو معرفی و قابلیتها، مزایا، محدودیتها و نحوه دسترسی بهش رو بررسی میکنیم.
چه دانشجو و پژوهشگر باشید، چه برنامهنویس و تولیدکننده محتوا؛ این مجموعه راهنمای شما برای استفاده هوشمندانهتر…
❤2
Showing the 12 most recent of 20 posts we hold for @AIoT_SU. 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
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 5 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 26 September 2026 — this
entry's latest reading, not the date you are reading this.
“انجمن علمی AI و IoT دانشگاه شیراز” (@AIoT_SU), 159 subscribers as measured 26 September 2026. Telegram Register, tgregister.com/channel/AIoT_SU.
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.