Channel
@Machinelearning_Kartal
On this record: Topic · Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry
2,718subscribers
+14 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
| Telegram ID | -1001084142121 |
|---|---|
| Type | Channel |
| Username | @Machinelearning_Kartal |
| Created | Between 1 September 2016 and 30 September 2017 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 18 September 2026 |
| Measurements held | 15 |
| Confirmed unchanged | 1 time, most recently 18 September 2026 |
| On Telegram | t.me/Machinelearning_Kartal |
Science — 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 15 September 2026 and assigned it the closest of 31 fixed categories, at 56% 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.
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 18 Sept 2026, 23:17 | 2,718 | -1 |
| 14 Sept 2026, 19:19 | 2,719 | +1 |
| 11 Sept 2026, 07:02 | 2,718 | -1 |
| 6 Sept 2026, 18:55 | 2,719 | +4 |
| 2 Sept 2026, 05:03 | 2,715 | +2 |
| 30 Aug 2026, 07:07 | 2,713 | -1 |
| 27 Aug 2026, 17:46 | 2,714 | +2 |
| 25 Aug 2026, 00:55 | 2,712 | -3 |
| 21 Aug 2026, 20:54 | 2,715 | -2 |
| 18 Aug 2026, 23:09 | 2,717 | +1 |
| 16 Aug 2026, 02:57 | 2,716 | +7 |
| 12 Aug 2026, 05:39 | 2,709 | +4 |
| 9 Aug 2026, 15:14 | 2,705 | +1 |
| 7 Aug 2026, 00:26 | 2,704 | no change |
| 6 Aug 2026, 07:32 | 2,704 | first reading |
18 posts held, back to 29 May 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 2 pages 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 18 posts for this entry, the most recent from 26 July 2026. An engagement rate over an empty window would be a number about nothing.
113 reactions across 13 posts, in 9 distinct kinds. The most used accounts for 58.4% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 66 | 58.4% | |
| 💩 | 18 | 15.9% | |
| 👍 | 11 | 9.73% | |
| 🤔 | 5 | 4.42% | |
| 🥰 | 4 | 3.54% | |
| 👏 | 3 | 2.65% | |
| 🖕 | 3 | 2.65% | |
| 😁 | 2 | 1.77% | |
| 🔥 | 1 | 0.885% |
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 13 of the 18 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 113 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 18 most recent posts we hold, published 29 May 2026 to 26 July 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.
#خبر افتخار برای ایران و ایرانی همه برای ایران، ایران برای همه با افتخار اعلام میکنم که تیم ما در مسابقه IJCB 2026 با عنوان: 10th Sclera Segmentation and Benchmarking Competition (SSBC 2026): Theme: Foundation and Multimodal Vision Models and Weakly Labelled Data برای انتشار پذیرفته شده است. این یک دستاورد علمی معنادار برای تیم ماست و من افتخار میکنم که اعضای تیم ما اهل ایران هستند. همکاری با دانشجویان و محققان ب…
❤10👏2🥰1
#خبر افتخار برای ایران و ایرانی برای ایران، ایران برای همه با افتخار اعلام میکنم که تیم ما در مسابقه IJCB 2026 با عنوان «The Unconstrained Ear Recognition Challenge 2026 — Size Matters: Ear Biometrics on Edge» برای انتشار پذیرفته شده است. این یک دستاورد معنادار برای تیم ماست و من افتخار میکنم که تمام اعضای تیم ما اهل ایران هستند. همکاری با دانشجویان و محققان با استعداد ایرانی همیشه برای من لذتبخش و مایه افتخار …
❤9👍5🥰2👏1🔥1
فارسی: سخنرانی در مورد فیس رکوگنیشن در کنفرانس cvpr 2026 تۆرکجه: کنفرانس cvpr 2026 دا کئچیلن اوز تانیما دانیشیقی https://lnkd.in/p/d3ysxfyq اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https://t.me/Machinelearning_Kartal
فارسی: دلیل این عدم اعتمادها از کجاست؟ چه اتفاقی باعث شده اساتید اعتمادشان به اساتید دیگر کم رنگ شود؟ پ.ن: من فکر می کنم اساتید دانشگاه جزء انسان های شریف معدود روی زمین هستند. تۆرکجه: بو اینانماماقلارین سببی هاردان گلیر؟ نه اولوب استادلار بیر بیرینه اینانمیلار؟ آ.ی: من فیکر ائدیرم بیلیم یورد اوستادلاری و معلیم لر دونیانین ان ویجدانلی و شرافتلی انسانلاری دیلار. اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https:/…
😁2
فارسی: بررسی و بحث در مورد آپدیت استانداردهای موجود برای بیومتریک در کنفرانس هفته بعد تۆرکجه: بیومتریک ده اولان استانداردلارا گورا دارتیشماق و دانیشما کنفرانسی گلن هفته https://lnkd.in/p/d5D4E6mw اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https://t.me/Machinelearning_Kartal
❤2
اپلای: دکترا امیج پروسسینگ https://lnkd.in/p/dndD6yTx اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https://t.me/Machinelearning_Kartal
❤2
# خبر Fable’s Return and Fallout Claude Fable 5 and the more powerful Claude Mythos 5 are back, three weeks after Anthropic suspended the models due to an export control directive from the U.S. Department of Commerce. What’s new: Anthropic restored customer access to Claude Fable 5 via the Claude API, Claude Code, and other Anthropic-controlled platforms on July 1. As part of its agreement with the U.S. government…
❤1
Everything has its own life and shining 🌟 time... Meta stopped its video generator on Meta AI. Oh, it seems AI is going to fail just as it reaches its highest possible benefits... Or was there a specific reason? اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https://t.me/Machinelearning_Kartal
Hallucinated citations are polluting the scientific literature. What can be done? Hallucinated citations generated by AI are rapidly contaminating scientific literature, with analyses showing a rise from 0.3% to 2.6% of papers containing at least one fabricated reference in 2025, potentially affecting over 110,000 publications. Publishers and startups are developing detection tools, but false positives and varied ref…
❤2
لطفا به اشتراک بگذارید ❤️🙏 فارسی: جدیدا اکثر شغل ها الخصوص شرکت های معتبر دنباله فردی هستند که در کنفرانس های معتبر مثله ACL, neurIPS ... مقاله داشته باشد. اگر دانشجویی دکترا ویا استاد دانشگاه هستید و دانشگاهتان ساپورتیو هزینه ای چنین کنفرانس ها است ما دو تا کار در زمینه Low resources language NLP داریم و با ما تماس بگیرید. تۆرکجه: سون زامانلار چوخلو ایش یئرلری، خۆصوصاً ده بویوک شیرکتلر، ACL, ICML, ، neurIPS و س. ک…
حضرت شمس: بزرگترین فساد از جایی شروع میشود که انسان بدون فهم و تجربه شخصی، یا کسی را کورکورانه قبول کند، یا کورکورانه رد کند. یعنی مشکل فقط «تعصب در ایمان» نیست؛ تعصب در انکار هم همانقدر خطرناک است. این سخن در فضای فکری شمس، بهخصوص در مقالات شمس، مربوط به نقد او از تقلید، ریا، مرجعپرستی و دینداریِ بیمعرفت است. شمس بارها میگوید معرفت باید از بیداری، تجربه، صدق و دیدنِ شخصی بیاید، نه فقط از تکرار حرف بزرگان.…
❤12💩3🥰1
Signed Admin
فارسی: عاشق انسانیت باشیم و به عشق و نام آزادی زندگی کنیم. برای آزادی برای حقوق برابر برای انسانیت. تۆرکجه: انسان سئور اولاق و باغیمسیزلیق سئوگیسی و آدی ایله یاشیاق. باغیمسیزلیق، برابرلیک اینسانلارا. اشتراک با دوستان| کانالیمیزی دا جانلی یایین: https://t.me/Machinelearning_Kartal
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Showing the 12 most recent of 18 posts we hold for @Machinelearning_Kartal. 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.
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
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.
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.
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
This channel appears in 11 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
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 18 September 2026 — this entry's latest reading, not the date you are reading this.
“Machine learning application (Kartal)” (@Machinelearning_Kartal), 2,718 subscribers as measured 18 September 2026. Telegram Register, tgregister.com/channel/Machinelearning_Kartal.
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.