Channel
@embedded
On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Posts · Telegram's recommendations · Cite this entry
3,920subscribers
-76 since we began measuring on 5 August 2026
Risers and fallers across the register · movement among entries of 3,162–10,000.
| Telegram ID | -1001009344202 |
|---|---|
| Type | Channel |
| Username | @embedded |
| Created | Between 1 September 2015 and 31 December 2015 — estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 6 August 2026 |
| Last confirmed live | 22 October 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 2 times, most recently 22 October 2026 |
| On Telegram | t.me/embedded |
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 14 September 2026 and assigned it the closest of 31 fixed categories, at 97% 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 |
|---|---|---|
| 19 Oct 2026, 16:42 | 3,920 | -14 |
| 16 Oct 2026, 13:46 | 3,934 | -3 |
| 13 Oct 2026, 09:19 | 3,937 | -16 |
| 7 Oct 2026, 04:18 | 3,953 | -13 |
| 30 Sept 2026, 17:58 | 3,966 | -8 |
| 15 Sept 2026, 23:39 | 3,974 | -1 |
| 12 Sept 2026, 15:20 | 3,975 | -20 |
| 8 Sept 2026, 15:57 | 3,995 | +1 |
| 3 Sept 2026, 00:56 | 3,994 | -1 |
| 30 Aug 2026, 19:07 | 3,995 | -7 |
| 27 Aug 2026, 11:13 | 4,002 | -1 |
| 24 Aug 2026, 15:54 | 4,003 | +2 |
| 20 Aug 2026, 16:04 | 4,001 | +3 |
| 17 Aug 2026, 20:27 | 3,998 | +2 |
| 15 Aug 2026, 00:14 | 3,996 | +2 |
| 11 Aug 2026, 21:32 | 3,994 | -6 |
| 9 Aug 2026, 05:52 | 4,000 | +3 |
| 6 Aug 2026, 06:10 | 3,997 | +1 |
| 6 Aug 2026, 04:19 | 3,996 | no change |
| 5 Aug 2026, 22:16 | 3,996 | first reading |
19 posts held, back to 27 September 2024 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 4 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 19 posts for this entry, the most recent from 28 April 2026. An engagement rate over an empty window would be a number about nothing.
Measured directly from 1 video with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
203 reactions across 18 posts, in 9 distinct kinds. The most used accounts for 44.8% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| 👍 | 91 | 44.8% | |
| ❤ | 84 | 41.4% | |
| 👏 | 6 | 2.96% | |
| ⚡ | 5 | 2.46% | |
| 🤔 | 5 | 2.46% | |
| 🔥 | 4 | 1.97% | |
| 😍 | 4 | 1.97% | |
| 👎 | 3 | 1.48% | |
| 😐 | 1 | 0.493% |
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 18 of the 19 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 203 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 19 most recent posts we hold, published 27 September 2024 to 28 April 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.
What is event-driven architecture (EDA), and how does it work? ✍ Nikki Siapno Quite a lot of the tasks modern-day systems are required to do are in response to changes in state. Adding an item to a shopping cart, liking a post, and paying a bill are all state changes that trigger a set of tasks in their respective systems. This requirement has paved the way for a popular approach to system architecture known as e…
❤6👍2
What is event-driven architecture (EDA), and how does it work? ✍ Nikki Siapno Quite a lot of the tasks modern-day systems are required to do are in response to changes in state. Adding an item to a shopping cart, liking a post, and paying a bill are all state changes that trigger a set of tasks in their respective systems. This requirement has paved the way for a popular approach to system architecture known as e…
👍5❤2👏2
The STM32N6 is the first STM32 MCU to embed the ST Neural-ART accelerator™, an in-house developed neural processing unit (NPU) engineered for power-efficient edge AI applications. Clocked at 1 GHz and providing up to 600 GOPS, it enables real-time neural network inference for computer vision and audio applications. در ادامه روند استارتاپهای تراشهای و معرفی چیپهای هوش مصنوعی و توسعه هوشنهفته، شرکت STM از تراشه ج…
👍5❤3
Embedded Academy pinned a photo
btop is a highly customizable, real-time system monitor tool that provides users with an intuitive and visually appealing interface to monitor system resources. Developed by Aristocratos, btop is written in C++ and aims to provide a more modern alternative to traditional resource monitors like htop, glances, or bashtop (its predecessor). #Linux @embedded
❤3🤔1
#مناسبت؛ 256 امین روز از سال ملقب به « #روز_برنامه_نویس » بر همه برنامه نویس ها مبارک باد! تبریک ویژه به « برنامه نویسان نهفته (Embedded Programmers) » برنامه هاتون بدون باگ ! @embedded
❤9😍2
به بهانه اعلام آمادگی ایرانسل برای راهاندازی eSIM معرفی و مزایای eSIM؟ اگر چه ممکن است این فناوری امروز دغدغه علاقهمندان به آخرین سری گوشیهای آیفون باشد، اما این فناوری جایگاه مهمی در ارتباطات IoT دارد. eSIM مخفف embedded Subscriber Identity Module است؛ سیمکارتی که درون دستگاه هوشمند قرار میگیرد و برخلاف سیمکارتهای نسل قبل نیاز به تعویض فیزیکی ندارد و بهصورت تراشهای الکترونیکی توسط سازنده روی مادربورد دستگ…
❤7👍2👎1
فناوریهای پیشران یا محرک Enabling Technologies اختراعات و فناوریهایی که زمینه را برای اختراعات، فناوریها و تغییرات گسترده در زیست مردم را فراهم میکنند. سال ۱۹۵۲، جایزه نوبل فیزیک به سه مخترع ترانزیستور تعلق گرفت که زمینه را برای توسعه کامپیوترها و ریزپردازندهها فراهم کرد (انقلاب صنعتی سوم). سال ۲۰۱۹ هم که جایزه نوبل شیمی به سه مخترع باتری لیتیوم-یون تعلق گرفت، خبرش را اینجا گذاشتم و شاهد بودید در طول این دهه ا…
❤2👍2🤔1
هوشمصنوعی، آنالوگ میشود؟ در ادامه روند شتابان پیشرفت تحقیقات در زمینه پردازشهای عصبی؛ در پاسخ به نیاز گسترده عموم به پردازش شبکههای بیشتر با سرعت بیشتر و مصرف انرژی پایینتر، ایده آزمایشگاهی شبکههای عصبی فیزیکی (PNN) معرفی شد. این شبکههای عصبی فیزیکی از خواص نور و پدیدههای کوانتومی برای پردازش اطلاعات استفاده میکنند، بنابراین محدودیتهای پردازشی و انرژی ندارند. پژوهشی که به تازگی در مجله Nature منتشر شده، م…
👍5❤3👏1🔥1
شش دلیل که نرمافزار متن باز آینده صنایع خلاق است ✍ روبی هلییر صنایع خلاق به طور فزایندهای در حال اتکا به نرم افزارهای متن باز هستند. این مقاله به بررسی شش دلیل کلیدی میپردازد که نشان میدهد چ futuro آینده این صنایع به ابزارهای متنباز گره خورده است. ۱. رهایی از حبس اکوسیستمی ابزارهای انحصاری مانند ادوبی یا کورل، کاربران را در یک اکوسیستم قفل میکنند و خروج از اشتراکها یا تغییر نرمافزار را دشوار میسازند. در مقابل، نرما…
👍8⚡1❤1
نکته! حجم تحولات حوزه هوش مصنوعی و یادگیری عمیق به اندازهای عمیق بوده که مثلا فریمورکی مثل caffe را که سال ۲۰۱۷، xilinx برای مقایسه توان پردازشی از آن استفاده کرد و البته خیلی از پروژههای پردازش تصویر با آن انجام میشد را شما اگر مصاحبه هوش مصنوعی داشته باشید، احتمالا متقاضی آن شغل، حتی نشناسد! این یعنی کسبوکارهای حوزه هوشمصنوعی با چالش بزرگی مواجه هستند و باید روز آمدی خودشان را حفظ کنند. @embedded
👍17
توسعه مبتنی بر CUDA با CUTLASS 4.0 آسان میشود. توسعه مبتنی بر CUDA با چالش و دشواری همراه بود که خصوصا استفاده از آن برای نمونهسازی اولیه منطقی نبود که با معرفی فریمورک جدید CUTLASS مشکل برطرف شد. کوتلاس، یک فریمورک توسعه کرنلهای CUDA با ترکیب پایتون و C++ ارائه میدهد. با استفاده از DSLهای پایتون مانند CuTe، مفاهیم پیشرفته مانند چینش دادهها (Layouts)، تانسورها و عملیات اتمی سختافزاری (Atoms) به سادگی قابل پیا…
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Showing the 12 most recent of 19 posts we hold for @embedded. 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.
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 1 seed channel's Telegram-generated recommendation list 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 19 October 2026 — this entry's latest reading, not the date you are reading this.
“Embedded Academy” (@embedded), 3,920 subscribers as measured 19 October 2026. Telegram Register, tgregister.com/channel/embedded.
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.