Telegram RegisterThe public register of Telegram

Channel

Sharif MLL

@sutmll

On this record: Growth · Engagement · Posts · Citations · Cite this entry

1,469subscribers

+0 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of 1,000–3,162.

Register entry

Telegram ID-1001817583347
TypeChannel
Username@sutmll
CreatedBetween 1 October 2022 and 30 September 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live11 August 2026
Measurements held2
Confirmed unchanged2 times, most recently 11 August 2026
On Telegramt.me/sutmll

Growth

1,4697 Aug 2026, 23:46 — 1,469 subscribers8 Aug 2026, 05:47 — 1,469 subscribers7 Aug 2026, 23:468 Aug 2026, 05:47
2 measurements taken within a single day. 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 1,468–1,470 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 05:471,469no change
7 Aug 2026, 23:461,469first reading

Engagement

20 posts held, back to 21 October 2024the 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.

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 24 February 2026. An engagement rate over an empty window would be a number about nothing.

Recent posts

24 Feb 2026, 17:00 UTC≈1,170 viewsread 7 August 2026

🔘 Open Research Positions: Shortcut Learning and Spurious Correlation We are looking for motivated students to join our research projects. 🔍 Project Description Shortcut learning occurs when models rely on spurious or overly simple patterns instead of learning the intended underlying task. Our research aims to understand why and how shortcuts emerge, and how they can be identified, analyzed, and mitigated. We offer

Signed Mahdieh Soleymani

8 Feb 2026, 08:10 UTC≈3,630 viewsread 7 August 2026

با سلام؛ اگر علاقه‌مند به همکاری به‌عنوان دستیار آموزشی در درس بازیابی پیشرفته اطلاعات (نیم‌سال دوم ۱۴۰۴-۱۴۰۵) خانم دکتر سلیمانی هستید، لطفا درخواست خود را تا تاریخ ۳۰ بهمن از طریق این فرم ثبت کنید.

Signed Amirmohammad Izadi

4 Feb 2026, 11:51 UTC≈1,920 viewsread 7 August 2026
Forwarded from @ce_edu

در صورتی که تمایل به همکاری به عنوان دستیار آموزشی در درس یادگیری ژرف (نیمسال دوم ۱۴۰۴-۱۴۰۵) دارید، لطفا فرم زیر را حداکثر تا تاریخ ۱۷ بهمن ماه پر نمایند: https://forms.gle/4ZVFPYY92no32PLm7

Signed Feraidoon

19 Aug 2025, 12:30 UTC≈3,440 viewsread 7 August 2026

دانشجویانی که علاقمند به عضویت در تیم تدریس درس هوش مصنوعی در نیم‌سال اول تحصیلی ۱۴۰۵-۱۴۰۴ (پاییز) با تدریس دکتر سلیمانی هستند، لطفا این فرم را تکمیل فرمایند: https://docs.google.com/forms/d/e/1FAIpQLSepRyHB4QoAl8ulIwdSBDi-aulXnvJjhWhB-KFcfFSFe1aBGw/viewform?usp=header

Signed Hosein Hasani

13 Mar 2025, 10:08 UTC≈4,630 viewsread 7 August 2026

فرصت همکاری پژوهشی: Emergent Language و Compositionality برای کسب اطلاعات بیشتر سند زیر را مطالعه بفرمایید: https://docs.google.com/document/d/1Q0xPXse3C7TITzKe0hkoQqtR_41Ca1ij-M7mkSPgPJ8/edit?usp=sharing

Signed Mahdi

27 Feb 2025, 19:01 UTC≈3,960 viewsread 7 August 2026

Open Position: Research Intern/Collaborator – 3D Image Analysis We are seeking motivated interns and collaborators to join an innovative joint project with Tehran University of Medical Sciences, focused on the prediction of knee diseases using knee MRI images. This research aims to leverage deep learning techniques to analyze 3D medical images, and the dataset, collected at Imam Khomeini Hospital, will eventually be

Signed Mahdieh Soleymani

23 Feb 2025, 17:31 UTC≈2,670 viewsread 7 August 2026
Forwarded from @HP_EdgePhoto

🔔 «بر لبه سکوی(؟) بلند» 📝 نگاهی واقع‌نگرانه به وضعیت امروز حوزه‌ی هوش مصنوعی، تحولات پیش‌روی آن، و تبعات اقتصادی - سیاسی تحولات مذکور؛ با هدف بررسی ابعاد و زوایای پدیده دگرگونی حاصل از هوش مصنوعی (AI Transformation) با حضور اساتید و کارشناسان حوزه‌های مختلف 🔸 نشست نخست: «در آستانه عامل‌های خودمختار» 🗣 دکتر مهدیه سلیمانی، استاد مهندسی کامپیوتر دانشگاه صنعتی شریف | دکتر محمد حسین رهبان، استاد مهندسی کامپیوتر دانشگ

Signed Mahdi Ghaznavi

13 Feb 2025, 03:48 UTC≈3,730 viewsread 7 August 2026

سلام یک فرصت همکاری‌ با کمیته‌ی المپیاد دانش‌آموزی هوش مصنوعی برای دوستانی که علاقه‌مند به تدریس یا تولید محتوا‌ در شاخه‌‌های یادگیری ماشین و یادگیری ژرف هستند و سابقه فعالیت در این زمینه را دارند فراهم است. در صورتی که متمایل به همکاری هستید این فرم را پر کنید.

Signed Mahdieh Soleymani

8 Feb 2025, 10:12 UTC≈3,570 viewsread 7 August 2026

درباره DeepSeek R1 در جلسه دهم از ژورنال کلاب سیستم‌۲، دکتر مهدیه سلیمانی به ارائه در مورد مقاله DeepSeek R1 و تفاوت رویکرد آن در استفاده از RL برای جستجو، پرداخت. لینک یوتیوب: https://www.youtube.com/watch?v=x3GaRLwO8fA لینک آپارات: https://www.aparat.com/v/jmeyz2p

Signed Mahdi

14 Jan 2025, 09:48 UTC≈3,480 viewsread 7 August 2026

📣 TA Application Form 🤖 Course: System-2 AI 🧑🏻‍🏫 Instructors: Dr. Rohban, Dr. Soleymani, Mr. Samiei ⏰ Deadline: January 23rd https://docs.google.com/forms/d/e/1FAIpQLSewqI25q5c3DcsdcCzhCVg42motC2S-bg_xuuPWZ0wA60rYHQ/viewform?usp=dialog

Signed Arash Marioriyad

2 Jan 2025, 17:35 UTC≈3,890 viewsread 7 August 2026

«دستیاری درس یادگیری عمیق دکتر سلیمانی» 🔹 Deep Learning TA Application Form 🔸 Dr. Mahdieh Soleymani Baghshah ⭕️ دانشجویانی که تمایل دارند در نیم‌سال آینده (نیم‌سال بهار ۱۴۰۳-۰۴) دستیار آموزشی درس یادگیری عمیق دکتر سلیمانی باشند، می‌توانند درخواست خود را از طریق فرم زیر ثبت نمایند. ⏰ Deadline: January 10th https://docs.google.com/forms/d/e/1FAIpQLScpwH9YLLK7I54TXX_5BARmm47x-qbxa8TAROh35d1KM_MgWA/viewform?usp=dialo

Signed Soroush Vafaie Tabar

14 Dec 2024, 10:55 UTC≈3,660 viewsread 7 August 2026

آیا فضای زبان طبیعی مناسب‌ترین ابزار برای انجام استدلال‌های پیچیده در مدل‌های زبانی بزرگ است؟ این مقاله نشان می‌دهد که به جای تکیه بر زبان طبیعی (مانند زنجیره تفکر یا CoT)، می‌توان از فضای نهفته پیوسته (Continuous Latent Space) برای استدلال استفاده کرد. در این روش، مدل مستقیماً حالت نهفته خود را به‌عنوان ورودی برای گام‌های بعدی استدلال بازخورد می‌دهد. این رویکرد به مدل اجازه می‌دهد به‌جای محدود شدن به یک مسیر ثابت و

Signed Mahdi

Showing the 12 most recent of 20 posts we hold for @sutmll. 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

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

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

“Sharif MLL” (@sutmll), 1,469 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/sutmll.

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.