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Channel

کارگروه کلان‌داده - دانشگاه صنعتی شریف

@BigDataWorkGroup

On this record: Growth · Engagement · Posts · Citations · Handles named that no longer answer · Cite this entry

1,350subscribers

-3 since we began measuring on 5 August 2026

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

Register entry

Telegram ID-1001050583083
TypeChannel
Username@BigDataWorkGroup
CreatedBetween 1 May 2016 and 31 January 2017— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live9 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 9 August 2026
On Telegramt.me/BigDataWorkGroup

Growth

1,3501,3531,351.55 August 2026 — 1,353 subscribers6 August 2026 — 1,353 subscribers9 August 2026 — 1,350 subscribers5 August 20269 August 2026
3 measurements spanning 4 days, net -3. 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 1,350–1,353 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
9 Aug 2026, 23:361,350-3
6 Aug 2026, 08:021,353no change
5 Aug 2026, 23:351,353first reading

Engagement

20 posts held, back to 2 November 2021 — 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.

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 28 May 2025. An engagement rate over an empty window would be a number about nothing.

Recent posts

28 May 2025, 19:17 UTC≈466 viewsread 6 August 2026
Forwarded from @irandeeplearningPhoto

📊 میزان (MIZAN): جامع‌ترین لیدربورد ارزیابی مدل‌های زبانی بزرگ (LLM) در زبان فارسی پس از عرضه بنچمارک FaMTEB برای ارزیابی مدل‌های Text Embedding، این‌بار دستاوردی تازه‌ در پردازش زبان طبیعی فارسی ✅ برخی ویژگی های میزان: - مقایسه جامع مدل‌های روز: ارزیابی دقیق مدل‌های متن‌باز و بسته با هدف ایجاد یک مرجع معتبر برای فارسی‌زبانان - پوشش ۶ بنچمارک تخصصی: سنجش عملکرد مدل‌ها در چت، پیروی از دستورالعمل، NLU، NLG، استدلال م…

21 Nov 2024, 15:55 UTC≈661 viewsread 6 August 2026
Photo

📣 مجموعه کارگاه های آموزشی هوش مصنوعی 🔹 توسعه سرویس‌های هوش مصنوعی مبتنی بر ChatGPT 🔹 الزامات راه‌اندازی و رشد نمایی در دنیای استارتاپ هوش مصنوعی 🔹 پردازش و بازشناسی گفتار 🔹 یادگیری تقویتی عمیق با ترنسفورمر برای مدیریت سبد کریپتو 🔹 زمان برگزاری کلیه کارگاه ها: چهارشنبه 7 آذر 1403 ساعت 10 الی 15 🔹 مهلت ثبت نام: سه شنبه 6 آذر 1403 🔹 محل برگزاری: دانشگاه صنعتی امیرکبیر 🔹 هزینه ثبت نام هر کارگاه: 200 هزار تومان جهت …

Signed Khalooei

21 Nov 2024, 15:46 UTC≈510 viewsread 6 August 2026
Photo

📣 مجموعه سخنرانی های علمی هوش مصنوعی 🔹 Adapting AI: Explainability and Distributability 🔹 Tackling Challenges in Self-supervised EEG Representation Learning 🔹 Universal Novelty Detection 🔹 زمان برگزاری: چهارشنبه 7 آذر 1403 ساعت 11 الی 15 🔹 محل برگزاری: دانشگاه صنعتی امیرکبیر 🔹 شرکت برای عموم آزاد است. جهت کسب اطلاعات بیشتر به آدرس زیر مراجعه کنید. https://aaic.aut.ac.ir/workshop/3 @aaic_aut

Signed Khalooei

30 Jun 2024, 19:55 UTC≈812 viewsread 6 August 2026
Forwarded from @irandeeplearningPhoto

✅ رونمایی از مدل های جدید زبانی بزرگ فارسی ۱. مدل زبانی فارسی سیلک (Sialk) توسعه‌یافته از پایه (from scratch) با استفاده از دادگان اختصاصی فارسی ۲. مدل زبانی بزرگ فارسی آهوران (Ahoran) مدل زبانی بزرگ فارسی با یادگیری پیوسته (continual pretraining) و دادگان جدید و به‌روز برای افزایش دقت و کارایی ۳. مدل زبانی بزرگ فارسی آوا (Ava) بازآموزش دیده‌شده (finetune) برای وظایف خاص و بهره‌برداری بهینه از مدل‌های پیشین ⏰ زما…

Signed Khalooei

7 Feb 2024, 13:36 UTC≈1,040 viewsread 6 August 2026
Forwarded from @irandeeplearningPhoto

Graph Convolutional Networks: Unleashing the power of Deep Learning for Graph data 🗓زمان برگزاری (به صورت آنلاین): شنبه 28 بهمن ماه 1402 ⏱ساعت 17:30 الی 19 📍آدرس اتاق مجازی: https://vc.sharif.edu/ch/cognitive @irandeeplearning | @cvision

Signed Abbas Maazallahi

14 Mar 2023, 18:15 UTC≈1,460 viewsread 6 August 2026
Forwarded from @irandeeplearningPhoto

🎥 A live broadcast of GPT-4 (Tonight from 23:30 Tehran time zone!) 👤 Presenter: Greg Brockman, President and Co-Founder of OpenAI 🗒 Content: Demo showcasing GPT-4 and some of its capabilities/limitations 🌐 https://www.youtube.com/watch?v=outcGtbnMuQ 📌 #GPT4 is a large multimodal model (accepting image and text inputs, emitting text outputs) 🔗 https://openai.com/product/gpt-4 @irandeeplearning

Signed Khalooei

14 Feb 2023, 04:43 UTC≈1,230 viewsread 6 August 2026
Photo

✅ مجموعه سخنرانی های هوش مصنوعی (بررسی آخرین تحولات و دستاوردهای حوزه هوش مصنوعی) ⏱ چهارشنبه 3 اسفند ماه 1401 📌 دانشگاه صنعتی امیرکبیر 🔗 https://aaic.aut.ac.ir/workshop/2 🆔 @aaic_aut

Signed Khalooei

12 Feb 2023, 13:30 UTC≈978 viewsread 6 August 2026
Forwarded from @irandeeplearning

✅ فرآخوان شناسایی شرکت های توانمند در حوزه طراحی و توسعه سامانه گفتگوی محاوره‌ای (Chit-Chat) و تولید مجموعه دادگان چیت چت همراه اول مرکز تحقیق و توسعه شرکت ارتباطات سیار ایران (همراه اول)، درصدد شناسایی شرکت ­های توانمند در زمینه طراحی و توسعه سامانه گفتگوی محاوره‌ای (Chit-Chat) و تولید مجموعه دادگان چیت چت همراه اول است. متقاضیان می­توانند در صورت برخورداری از تخصص و دانش فنی در حوزه مذکور، نسبت به ارائه مستندات مح…

Signed Khalooei

18 Jan 2023, 10:20 UTC≈1,180 viewsread 6 August 2026
Forwarded from @irandeeplearning

✅ فراخوان معرفی توانمندی های شرکت های فعال در حوزه پردازش متن مرکز تحقیق و توسعه شرکت ارتباطات سیار ایران (همراه اول) درصدد شناسایی شرکت­های توانمند در زمینه خرید، نصب و راه اندازی سامانه هوشمند پردازش متون و تولید پیکره دادگان فارسی است. متقاضیان می­توانند در صورت برخورداری از تخصص و دانش فنی در حوزه مذکور، نسبت به ارائه مستندات محصولات و قابلیت­های شرکت اقدام نمایند. https://tamin.mci.ir/#/articles/details/1ddf0…

Signed Khalooei

6 Jan 2023, 04:47 UTC≈6,940 viewsread 6 August 2026
Photo

📣 کارگاه های آموزشی امروز کنفرانس ملی انفورماتیک ایران IPM: ✅ Sentence Embedding & Representation (⏰ 8-11:30) ✅ Container Orchestration & Kubernetes (⏰ 12-16:30) ✅ Machine learning programming (⏰ 16:30-20) جهت ورود میتوانید از طریق لینک زیر وارد شوید: 🌐 https://ipm.fararoom.ir/ch/nic/guest @bigdataworkgroup @irandeeplearning

Signed Khalooei

9 Sept 2022, 05:53 UTC≈6,310 viewsread 6 August 2026
Photo

هم اکنون ارائه ✅ چالش‌های مهندسی داده در صنعت 👤 حمیدرضا حسین‌خانی 🌐 https://vc.sharif.edu/ch/hosseinkhani @bigdatawrokgroup

Signed Khalooei

19 May 2022, 06:50 UTC≈1,980 viewsread 6 August 2026
Forwarded from @irandeeplearningPhoto

هم اکنون / مجموعه سخنرانی های هوش مصنوعی امیرکبیر ✅ ارائه دکتر نیک آبادی در خصوص ویرایش معنایی صفات چهره با استفاده از مدل های مولد 🌐 https://bluemeet.aut.ac.ir/ch/aaic_lectures/guest

Signed Khalooei

Showing the 12 most recent of 20 posts we hold for @BigDataWorkGroup. 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 — 1,091,859 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

Republishes

Channels on the register whose posts this channel has forwarded.

Deep learning channel
@irandeeplearning · 4,40112 posts

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 1 registered channel — 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.

سامانه‌ی جامع جمع‌آوری دادگان دست‌نوشته‌ی برخط فارسی
@farsihandwriting · 531 post

Names

Channels on the register whose handles appear in this channel's posts.

Deep learning channel
@irandeeplearning · 4,40112 postsAAIC
@AAIC_AUT · 7675 postsبنیاد خیریه صدر
@BONYADESADR · 7371 postTensorflow(@CVision)
@cvision · 15,0671 postسامانه‌ی جامع جمع‌آوری دادگان دست‌نوشته‌ی برخط فارسی
@farsihandwriting · 531 postآکادمی همراه اول
@hamrah_academy · 10,9681 post

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.

“کارگروه کلان‌داده - دانشگاه صنعتی شریف” (@BigDataWorkGroup), 1,350 subscribers as measured 9 August 2026. Telegram Register, tgregister.com/channel/BigDataWorkGroup.

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.