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Channel

LAMBDA_News

@lambdahse_news

On this record: Growth · Engagement · Reactions · Posts · Citations · Telegram's recommendations · Cite this entry

496subscribers

+0 since we began measuring on 6 September 2026

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

Register entry

Telegram ID-1001301981753
TypeChannel
Username@lambdahse_news
CreatedBetween 1 March 2018 and 31 July 2021 — estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 September 2026
Last confirmed live17 September 2026
Measurements held4
Confirmed unchanged1 time, most recently 17 September 2026
On Telegramt.me/lambdahse_news

Growth

496497496.56 September 2026 — 496 subscribers6 September 2026 — 496 subscribers9 September 2026 — 497 subscribers17 September 2026 — 496 subscribers6 September 202617 September 2026
4 measurements spanning 11 days. 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 496–497 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
17 Sept 2026, 17:40496-1
9 Sept 2026, 10:22497+1
6 Sept 2026, 17:23496no change
6 Sept 2026, 15:47496first reading

Engagement

20 posts held, back to 17 October 2025 — 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 page 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 20 posts for this entry, the most recent from 17 August 2026. An engagement rate over an empty window would be a number about nothing.

Reaction mix

297 reactions across 20 posts, in 10 distinct kinds. The most used accounts for 46.5% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥13846.5%
❤6521.9%
👍4314.5%
❤‍🔥206.73%
🥰165.39%
🎉82.69%
👏31.01%
🐳20.673%
💩10.337%
🤮10.337%

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 20 of the 20 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 297 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 17 October 2025 to 17 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

17 Aug 2026, 15:06 UTC682 views22 reactionsread 6 September 2026
Photo

Рады поделиться нашей новой работой! Вместе с Денисом Зуенко @zuenko и Ильвирой Хайдаровой мы опубликовали в IEEE Access статью Oil Spill Segmentation in SAR Data Using ViT-UNet: Performance and Practical Insights. Работа посвящена системе для сегментации нефтяных пятен на радарных снимках (SAR). Задача критична для экологического мониторинга океана. Особенность подхода — гибридная архитектура ViT-UNet, где skip-con…

❤‍🔥9🔥8👍5

11 Aug 2026, 10:11 UTC485 views18 reactionsread 6 September 2026
Photo

Happy to share that our paper “CAD2TechSpec: a framework for automating design processes within computer-aided design systems” has been published in PeerJ Computer Science! 🥳 We introduce CAD2TechSpec, a framework that converts 3D CAD models into structured, readable JSON machining specifications. To the best of our knowledge, this is the first end-to-end framework to generate ISO-aware machining specifications dir…

🔥6🎉5🥰4❤2👍1

16 Jul 2026, 12:31 UTC605 views39 reactionsread 6 September 2026
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Рад поделиться нашей новой работой! Вместе с Дашей Пугачёвой из нашей лаборатории и командой Звука мы представили на SIGIR 2026 статью From Queries to Playlists: An LLM-Driven Architecture for Semantic Music Search at Scale. Мы разработали систему, которая собирает плейлисты по свободным запросам вроде «что-нибудь спокойное для вечерней прогулки». Вместо простого совпадения слов она понимает смысл запроса и находит …

🔥17❤14👍8

7 May 2026, 09:02 UTC687 views8 reactionsread 6 September 2026

Dear friends! Here is one more publication from the materials research direction! In collaboration with an experimental group from MISIS University "Database of tensile test results of carbon fibers impregnated with thermoplastic polymer". The article was published in the Scientific Data journal. https://www.nature.com/articles/s41597-026-07333-w Abstract: In this study, we present a comprehensive set of experimental…

🔥6👍2

28 Apr 2026, 09:47 UTC733 views7 reactionsread 6 September 2026

Летние практики в LAMBDA! Мы собрали список задач для студентов, которые хотят пройти летнюю практику в Лаборатории. Летние практики - прекрасная возможность познакомиться с конкретной темой и решить, хотите ли вы ей заниматься на курсовой или выпускной работе https://docs.google.com/spreadsheets/d/1sKa0IpUq2z_2EJPB3-UZSAEELyD37Pg8quPmJ2YU5os/

❤7

27 Mar 2026, 11:47 UTC≈1,350 views9 reactionsread 6 September 2026

#OpenSeminar Открытый семинар LAMBDA «Как искусственный интеллект помогает в научных исследованиях» 🗓 30 марта 14:40 📍Online (ссылка после регистрации) Спикеры: 📣 Трофимова Екатерина Алексеевна, Кандидат компьютерных наук, научный сотрудник, LAMBDA 📣 Устюжанин Андрей Евгеньевич, Кандидат физико-математических наук, Национальный университет Сингапура Аннотация: На открытом семинаре обсудим, как современные ИИ-инстр…

🔥9

24 Mar 2026, 07:26 UTC678 views8 reactionsread 6 September 2026

Yet another Article from our side, this time together with Astronomers from RAS observatories. A brand-new public database called RARPs just dropped, giving us a massive collection of radio signatures from solar active regions. 🛰️📡 🌞 Using data from the RATAN‑600 telescope (2009–2025), it includes over 160,000 standardized observations. Early tests show it could help make flare forecasts more accurate, especially f…

🔥4🥰2❤‍🔥1👍1

23 Mar 2026, 12:02 UTC652 views22 reactionsread 6 September 2026
Photo

Happy to share that our paper on Diffusion Models for Synthetic Tabular Data Generation is published and available online! 🥳 Elina Telesheva is the first author and our former student. The paper is based on her master's thesis. Congrats, Elina! 👏 Generating high-quality synthetic data is crucial for many data science tasks. However, tabular data is particularly challenging because it contains both numerical and ca…

🔥14👍5❤3

10 Mar 2026, 17:01 UTC580 views7 reactionsread 6 September 2026
Photo

Photo, posted without a caption

❤‍🔥7

10 Mar 2026, 17:01 UTC537 views20 reactionsread 6 September 2026

Dear friends! We are happy to announce that our article "Symbolic regression for defect interactions in 2D materials" has been published in Materials and Design journal! Abstract: Machine learning models have become firmly established across all scientific fields. Extracting features from data and making inferences based on them with neural network models often yields high accuracy; however, this approach has severa…

🔥13🥰4👏2👍1

10 Mar 2026, 07:10 UTC730 views23 reactionsread 6 September 2026
Photo

We are happy to share that our paper has finally been published 🥳 It was a long journey, and we are glad it has reached its conclusion 😊 Online Neural Networks for Change-Point Detection Moments when a time series changes its behavior are called change points. Occurrence of change point implies that the state of the system is altered and its timely detection might help to prevent unwanted consequences. In this pape…

❤12🔥7❤‍🔥3👍1

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

Appears in Telegram’s recommendations for other channels

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.

Òmnium
@omnium · 30,868
Telegram ranks this channel #88 of 90 here — alongside 89 others — read 6 September 2026

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.

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 17 September 2026 — this entry's latest reading, not the date you are reading this.

“LAMBDA_News” (@lambdahse_news), 496 subscribers as measured 17 September 2026. Telegram Register, tgregister.com/channel/lambdahse_news.

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.