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Channel

انجمن علمی هوش مصنوعی دانشگاه بین المللی قزوین | IKIU AI

@IKIU_AI

On this record: Topic · Observations · Also posting the same content · Growth · Engagement · Reactions · Posts · Citations · Cite this entry

241subscribers

+1 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002770573865
TypeChannel
Username@IKIU_AI
CreatedBetween 1 June 2025 and 30 September 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live7 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 7 August 2026
On Telegramt.me/IKIU_AI

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-UD-Q6_K_XL, prompt version 1) read this channel’s own recent posts on 11 August 2026 and assigned it the closest of 31 fixed categories, at 77% 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.

Observations

These are measurements, not verdicts. Each one below states something we counted, alongside the evidence it was counted from, so you can check it rather than take it. None of them is graded: every observation this register holds is recorded at severity 0, because the precision of the detectors behind them has not been measured yet, and a rating we cannot support is worse than none. Read each as a fact about the data, not as a judgement about the channel. How we measure.

Content that also appears on other registered channels

Posts published here appear word for word on 1 other registered channel. They sit inside a group of 3 channels that share the same post bodies with each other. The matching is on the text itself, not on Telegram’s forward marker, so it finds a copy whether or not it was labelled as one.

Matching posts — open both and compare (1 of the pairs behind the counts below)
Posted firstThenOverlapGap
@IKIU_CE/163213 Jul 2026, 07:14 UTC@IKIU_AI/175 · this entry13 Jul 2026, 07:16 UTC1.002 minutes
Every channel this entry shares post bodies with
ChannelMatching postsText overlapTypical gapPublished first
@IKIU_CE11 (8/8 hand-verifiable sample passed)1.00under a minute@IKIU_CE (92)

Text overlap is the Jaccard coefficient over the set of distinct three-word phrases in the two bodies: 1.00 is identical wording, and the threshold for counting a pair at all is 0.70. Candidates are generated by simhash LSH (4 x 16-bit bands, exact Hamming <= 3) verified against the bodies with Jaccard over the SET of distinct 3-word shingles. Published first counts which side of each matching pair carries the earlier timestamp — in this corpus, which is the limitation directly below.

What this cannot establish

MEASURED, DOMINANT ERROR SOURCE: a post ingested before 2026-08-06 may have carried a forward header that was not recorded. A 45-pair hand-check against live t.me pages found 14 (31%) where the live page shows a forward header naming the other channel and the database has none, plus 4 more (9%) naming a third party. The text match itself was wrong 0 times out of 45. Read attribution_capture.items_in_trusted_window before treating the unattributed count as a claim.

Telegram lets a channel forward a post with a header naming the source, and we only began reliably recording that header on 2026-08-06. None of the 2 matches recorded here fall after that date, so for this entry we cannot say whether any of them carried a credit. The duplication is measured; the absence of attribution is not.

“Published first” means first in this corpus. We hold 16 comparable posts for this entry, running 2 July 2026 to 1 August 2026. A channel we have read one page deep will look younger than a neighbour we have read in full, and the order would flip with no change in the underlying facts.

The detector’s own notes on this observation, as it recorded them. Names in this_style are fields of the underlying evidence record, which the plain-English paragraphs above read out for this entry.

  • Verbatim republication has three causes and the text separates only two: a clone/mirror, unattributed copy-paste, or BOTH channels copying a common third source that neither attributes. The spread filter (content held by at most 8 channels) reduces the third and does not remove it.
  • 'Earliest' means earliest IN THIS CORPUS. A channel ingested one page deep will look younger than a neighbour ingested in full; corpus_coverage above is there to be checked before the direction is believed.
  • shared_verified_est extrapolates the sampled pass rate over the full narrow match count; sampled/passed are the numbers actually measured.
  • Absence of a forward header is not proof of intent: Telegram lets a channel disable forward attribution, and a credit written in the body is not parsed as attribution here (mention_edge_either_way above is the closest available signal).

Across the whole group of 3, the earliest publisher we hold is @IKIU_CE. That is a statement about our reading window, not a claim of authorship.

Recorded under the key clone_copy, last confirmed 7 August 2026. An observation that a later pass no longer finds is cleared, and a cleared observation is removed from this page rather than being shown struck through — we do not keep publishing a claim we have withdrawn. Dispute an observation.

Also posting the same content

This channel’s posts match, word for word or near enough, posts on 2 other registered channels, 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

240241240.56 Aug 2026, 12:52 — 240 subscribers7 Aug 2026, 02:32 — 240 subscribers7 Aug 2026, 11:44 — 241 subscribers6 Aug 2026, 12:527 Aug 2026, 11:44
3 measurements taken within a single day, 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 240–241 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
7 Aug 2026, 11:44241+1
7 Aug 2026, 02:32240no change
6 Aug 2026, 12:52240first reading

Engagement

17 posts held, back to 2 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 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
92.4%
avg views ÷ 241 subscribers
Avg views / post
223
11 posts measured
Reaction rate
3.71%
reactions ÷ views · ER floor
Posts in window
11
of 17 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 1 August 2026
Posts held17 (2 July 20261 August 2026)
Views total2,450
Reactions total91
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 02:32 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.

Reaction mix

150 reactions across 17 posts, in 6 distinct kinds. The most used accounts for 45.3% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥6845.3%
4630.7%
👏2416.0%
👨‍💻64.00%
🗿42.67%
🤓21.33%

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 17 of the 17 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 150reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 2 July 2026 to 1 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

1 Aug 2026, 12:32 UTC31 views11 reactionsread 7 August 2026
Forwarded from @IKIU_CEPhoto

انجمن علمی هوش مصنوعی و مهندسی کامپیوتر دانشگاه بین‌المللی قزوین، کسب مقام قهرمانی تیم دانشجویان این دانشگاه در مسابقه‌ی SharifICT Challenge 11، برگزارشده در دانشگاه صنعتی شریف را صمیمانه تبریک عرض می‌نماید 🎉🏆 این موفقیت ارزشمند، حاصل تلاش‌های مستمر و شایستگی آقایان ابوالفضل انصاری، پویان دلیوندانی و امیرحسین نوروزی است و مایه‌ی افتخار جامعه‌ی دانشگاهی، به‌ویژه دانشجویان مهندسی کامپیوتر دانشگاه، به شمار می‌آید 💻🚀 ض

🔥11

31 Jul 2026, 10:54 UTC96 views7 reactionsread 7 August 2026

🔴 دوستان حجم پیام های دریافتی بسیار زیاد است. لطفاً صبور باشید به همگی پاسخ داده خواهد شد.

🔥6🤓1

31 Jul 2026, 06:48 UTC808 views10 reactionsread 7 August 2026
Photo

منتورشیپ تخصصی مدیریت تیم و پروژه 🧭📊 این منتورشیپ برای کساییه که می‌خوان مسیر درست مدیریت پروژه و تیم رو به‌صورت اصولی و کاربردی یاد بگیرن و برای ورود جدی‌تر به فضای کاری آماده بشن. 🎯 توی این منتورشیپ چه خبره؟ 📋 🔹 مسیر یادگیری از پایه تا سطح کاربردی 🗺 🔹 معرفی منابع معتبر و نکات عملی 📚 🔹 همراهی و راهنمایی در مسیر پیشرفت شغلی 💼 اینجا خبری از آموزش خشک و صرفاً تئوری نیست! 🙅‍♂️ ❌ کلاس‌های صرفاً تئوری ❌ آموزش‌های سنگی

🔥10

27 Jul 2026, 20:05 UTC124 views6 reactionsread 7 August 2026
Forwarded from @aiif_channelPhoto

هکاتون پل دوم در کارخانه هوش‌مصنوعی ایران "دستیار هوشمند تحلیل و بهینه‌سازی پروموشن‌های فروش" «مساله‌ی واقعی از دل صنعت» در هکاتون «پل دوم»، داده‌های واقعی و ناشناس‌سازی‌شده فروش، قیمت، تخفیف‌ها و کمپین‌های گذشته یک صنعت در اختیار شرکت‌کنندگان قرار می‌گیرد تا با استفاده از هوش‌مصنوعی، راهکارهایی برای تحلیل اثر واقعی پروموشن‌ها بر فروش و سودآوری و پیشنهاد سناریوهای مؤثرتر برای کمپین‌های آینده توسعه دهند. 🏆 جایزه نق

6

25 Jul 2026, 04:28 UTC60 views8 reactionsread 7 August 2026
Forwarded from @IKIU_CEPhoto

🚀 منتورشیپ تخصصی توسعه بک‌اند با Node.js 💻 می‌خوای وارد دنیای برنامه‌نویسی بک‌اند بشی ولی نمی‌دونی از کجا شروع کنی؟ 🤔🚀 این منتورینگ برای کساییه که می‌خوان مسیر درست رو از پایه یاد بگیرن و آماده‌ی ورود به بازار کار بشن. 🎯 توی این منتورینگ چه خبره؟📋 🔹 معرفی کامل توسعه بک‌اند و Node.js 🔹 نقشه راه از صفر تا سطح کار 🗺️ 🔹 معرفی منابع معتبر و تمرین‌های کاربردی 📚 🔹 برنامه‌ریزی شخصی برای پیشرفت 📅 🔹 همراهی تا زمان آمادگی شغل

🔥8

24 Jul 2026, 20:38 UTC69 views13 reactionsread 7 August 2026
Forwarded from @IKIU_CEPhoto

گلستان هنوز هم پر از مراحل اضافه‌ست؛ خسته نشدی؟ ⚡️ با گلستون، دیگه این دردسر هارو نداری. کارنامه نمرات میدونی چند واحد دیگه مونده پاس کنی؟ وضعیت تمام ترم‌هات رو با جزئیات کامل ببین. ارزیابی اساتید نظر واقعی دانشجوها رو ببین ، امتیاز اساتید رو مقایسه کن و نظر خودت رو ثبت کن. چیدن راحت واحدها برنامه‌ریزی ترم پاییز ۴۰۵ رو از الان شروع کن؛ همه‌ی دروس و رشته‌ها پشتیبانی میشن.  امتحانش هیچ هزینه‌ای نداره: 🌐 golestoon-

13

21 Jul 2026, 17:41 UTC82 views6 reactionsread 7 August 2026
Forwarded from @IKIU_CEPhoto

🔥 وبینار رایگان «نقشه راه و پرسش‌و‌پاسخ امنیت سایبری» 🛠️💻 می‌خوای وارد دنیای جذاب امنیت سایبری و تست نفوذ بشی ولی سردرگمی؟ 🤔 این جمعه دور هم جمع می‌شیم تا مسیر رو برات شفاف کنیم و به تمام سوالاتت جواب بدیم. 🗺️✨ 🔹 معرفی بازار کار و موقعیت‌های شغلی امنیت سایبری 💼 🔹 نقشه راه ورود به حوزه تست نفوذ🚀 🔹 پرسش و پاسخ❓💬 🎙️ منتور: یاسین افلاطون‌زاده 🅰️ زمان وبینار عمومی: جمعه ۲ مرداد، ساعت ۱۱ تا ۱۲:۳۰ ظهر 🖥️ بستر برگزاری: گوگ

6

18 Jul 2026, 04:59 UTC118 views11 reactionsread 7 August 2026
Forwarded from @IKIU_CEPhoto

منتورشیپ تخصصی امنیت سایبری و تست نفوذ (Cyber Security / Penetration Testing) 🥷💻 می‌خوای وارد دنیای امنیت سایبری بشی ولی نمی‌دونی از کجا شروع کنی؟ 🤔🚀 این منتورینگ برای کساییه که می‌خوان مسیر درست رو از پایه یاد بگیرن و آماده‌ی ورود به بازار کار بشن. 🎯 توی این منتورینگ چه خبره؟ 📋 🔹 معرفی کامل حوزه امنیت و زیرشاخه ها 🔹 نقشه راه از صفر تا سطح کار 🗺️ 🔹 معرفی منابع معتبر و تمرین‌های کاربردی 📚 🔹 برنامه‌ریزی شخصی برای پیش

9🔥2

17 Jul 2026, 17:13 UTC711 views8 reactionsread 7 August 2026
Photo

🚀 کروم هم وارد چرخه توسعه با کمک AI شد! با معرفی Chrome DevTools MCP، مدل‌های هوش مصنوعی می‌توانند به محیط مرورگر متصل شوند و در فرآیند بررسی و بهبود اپلیکیشن‌ها کمک کنند. با این قابلیت، AI می‌تواند: • صفحات و بخش‌های مختلف اپلیکیشن را بررسی کند 🧐 • خطاهای Console را شناسایی و تحلیل کند 🔍 • وضعیت رابط کاربری را مشاهده کند 👁️ • مشکلات طراحی و ریسپانسیو بودن صفحات را بهتر تشخیص دهد 📱 این قابلیت در حال حاضر برای Gemi

👏7🔥1

15 Jul 2026, 18:30 UTC177 views5 reactionsread 7 August 2026
Photo

💻 دوره کارآموزی و استخدام در حوزه امنیت سایبری با همکاری مشترک انجمن علمی مهندسی کامپیوتر و هوش مصنوعی دانشگاه بین‌المللی امام خمینی و آکادمی بیت گارد اگر به حوزه امنیت سایبری علاقه‌مند هستید و قصد دارید در کنار آموزش تخصصی، تجربه عملی نیز کسب کنید، این دوره فرصت مناسبی برای ورود به بازار کار است. 🚀 این دوره حدود ۳ ماه برگزار می‌شود و شامل آموزش‌های تخصصی، کارگاه‌های عملی و آموزش حین کار (On-the-Job Training) است.

🔥5

15 Jul 2026, 03:39 UTC174 views6 reactionsread 7 August 2026
Photo

🎒"«بنیان‌آموز»؛ از دانشگاه تا بازار کار"💼 ‌ تا حالا به این فکر کردی بعد از فارغ‌التحصیلی، بدون داشتن رزومه‌ی قوی و مهارت های واقعی، چطور می‌خوای وارد بازار کار بشی؟ 🤔 «بنیان‌آموز» فقط یک همایش معمولی نیست! یک مسیر میان‌بُر برای تبدیل شدن از یک دانشجوی معمولی به یک نیروی کار متخصصه. ▪️شرکت در دوره‌های آموزشی و تخصصی مکتب‌خونه و تجربه‌سرا همراه با گواهی معتبر📄 ▪️شبکه‌سازی واقعی با بزرگان صنعت👨🏻‍💼 • فرصتِ طلاییِ گفت‌

🔥6

13 Jul 2026, 19:12 UTC≈2,180 views10 reactionsread 7 August 2026
Photo

🔥 وبینار رایگان «نقشه راه تحقیق و توسعه ML & DL & CV» 🤖📊 می‌خوای مسیر ورود به ریسرچ Machine Learning، Deep Learning و Computer Vision رو بهتر بشناسی و بدونی چطور می‌تونی وارد این حوزه‌های جذاب بشی؟ این وبینار دقیقاً برای همینه؛ تا هم نقشه راه برات روشن بشه و هم بتونی سوال‌هات رو مستقیم از منتور بپرسی. 🚀✨ 🔹 معرفی مسیر یادگیری و ورود به ریسرچ ML / DL / CV 🔹 آشنایی با کاربردهای این حوزه‌ها، به‌ویژه در بازارهای مالی 💹

🔥10

Showing the 12 most recent of 17 posts we hold for @IKIU_AI. 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 — 131,432 of 1,151,006entries 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

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.

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

“انجمن علمی هوش مصنوعی دانشگاه بین المللی قزوین | IKIU AI” (@IKIU_AI), 241 subscribers as measured 7 August 2026. Telegram Register, tgregister.com/channel/IKIU_AI.

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.