Telegram RegisterThe public register of Telegram

Channel

AI with Papers - Artificial Intelligence & Deep Learning

@AI_DeepLearning

On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Polls · Citations · Cite this entry

17,031subscribers

-7 since we began measuring on 6 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001127346264
TypeChannel
Username@AI_DeepLearning
DescriptionAll the AI with papers. Every day fresh updates about #DeepLearning #MachineLearning #LLM & #ComputerVision Curated by Alessandro Ferrari | https://www.linkedin.com/in/visionarynet/ #AI #chatGPT
CreatedBetween 1 June 2017 and 31 August 2020— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded6 August 2026
Last confirmed live13 August 2026
Measurements held8
Confirmed unchanged1 time, most recently 13 August 2026
On Telegramt.me/AI_DeepLearning

Growth

17,03117,04117,0366 August 2026 — 17,038 subscribers7 August 2026 — 17,036 subscribers8 August 2026 — 17,039 subscribers9 August 2026 — 17,041 subscribers10 August 2026 — 17,037 subscribers11 August 2026 — 17,035 subscribers12 August 2026 — 17,039 subscribers13 August 2026 — 17,031 subscribers6 August 202613 August 2026
8 measurements spanning 7 days, net -7. 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 17,030–17,043 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
13 Aug 2026, 07:1517,031-8
12 Aug 2026, 07:3217,039+4
11 Aug 2026, 06:4817,035-2
10 Aug 2026, 07:3117,037-4
9 Aug 2026, 07:1417,041+2
8 Aug 2026, 06:5317,039+3
7 Aug 2026, 04:2617,036-2
6 Aug 2026, 14:2217,038first reading

Engagement

20 posts held, back to 7 July 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 18 pagesof Telegram’s post history, 20 posts per page.

ERR · 30 days
17.2%
avg views ÷ 17,031 subscribers
Avg views / post
2,930
12 posts measured
Reaction rate
0.327%
reactions ÷ views · ER floor
Posts in window
13
of 20 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 30 July 2026
Posts held20 (7 July 202630 July 2026)
Views total35,140
Reactions total115
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken13 Aug 2026, 14:54 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
160
Videos
283
Links
1,470

Lifetime counters from Telegram’s own channel header, read 13 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Video runtime
22s
Average length
4s

Measured directly from 5 videos 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.

Reaction mix

234 reactions across 19 posts, in 9 distinct kinds. The most used accounts for 44.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
10544.9%
🔥8235.0%
🤯156.41%
👏125.13%
👍104.27%
🤩52.14%
😍31.28%
10.427%
🍾10.427%

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 19 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 234reactions 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 7 July 2026 to 30 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.

Recent posts

30 Jul 2026, 11:45 UTC≈2,350 views13 reactionsread 13 August 2026
Video

🐠Dual-branch ID-Tracking🐠 👉TIDE: tracking dense, homogeneous targets, providing a scalable dual-branch design to accommodate diverse hardware constraints. MIT license💙 👉Review https://t.ly/WEDeY 👉Paper https://arxiv.org/pdf/2607.26412 👉Project https://vranlee.github.io/TIDE/ 👉Repo https://github.com/vranlee/TIDE

🔥75👍1

29 Jul 2026, 06:57 UTC≈2,530 views10 reactionsread 13 August 2026
Video

🔥Decoder-only Any-to-Any Model🔥 👉MODUS unifies any-to-any multimodal generation with one decoder, two experts, and zero task heads. Impressive work. Repo under Apache💙 👉Review https://t.ly/-2QKT 👉Paper https://lnkd.in/dhfBQGhB 👉Project https://lnkd.in/dPD_ECXk 👉Repo https://lnkd.in/dbDHw24u

🔥53🍾1👍1

28 Jul 2026, 09:46 UTC≈2,530 views12 reactionsread 13 August 2026
Video

🍿 Dawn of Generative Cinematography 🍿 🟩 The Odyssey by Christopher Nolan was shot entirely on IMAX 70mm. It feels almost romantic: massive cameras, film stock, premium lenses, and an obsessive pursuit of the highest possible quality at the moment of capture. 👉 Meanwhile, AI research is heading in the exact opposite direction. 🟩 A pre-print paper released today, "Camera Anything", demonstrates something that sound

🔥73👏2

28 Jul 2026, 07:18 UTC≈2,340 views9 reactionsread 13 August 2026
Video

🔎MicroZoom at Extreme Scale🔎 👉MicroZoom by UWA synthesizes gigapixel-resolution images grounded in consumer-grade microscope close-ups at magnification levels up to 350×. Impressive. Repo under MIT💙 👉Review https://t.ly/hgJD7 👉Paper https://arxiv.org/pdf/2607.24729 👉Project https://microzoom-sr.github.io/ 👉Repo github.com/MicroZoom-SR/MicroZoom-SR.github.io

🤯43👏1🔥1

27 Jul 2026, 06:47 UTC≈2,400 views5 reactionsread 13 August 2026
Video

💄MagicMakeup Transfer💄 👉Makeup-transfer applies the reference makeup to the source face while preserving the source identity. Authors: Zhejiang University & vivo BlueImage Lab. Repo for non commercial💙 👉Review https://t.ly/JYpCr 👉Paper harxiv.org/pdf/2607.20924 👉Project vivocameraresearch.github.io/magicmakeup 👉Repo github.com/vivoCameraResearch/Magic-Makeup

3🔥2

24 Jul 2026, 07:00 UTC≈3,150 views13 reactionsread 13 August 2026
Video

💢Unified Video Dense Prediction💢 👉UniD predicts: depth, surface normals, semantic segmentation, boundaries, human parts, albedo, shading, and materials. Code TBR💙 👉Review https://t.ly/oo7et 👉Paper https://arxiv.org/pdf/2607.21592 👉Project https://unid-video.github.io/ 👉Repo https://github.com/YihongSun/UniD

🔥75👏1

23 Jul 2026, 07:00 UTC≈3,270 views9 reactionsread 13 August 2026
Photo

🫛Spatially-Aware Class-Agnostic Counting🫛 👉UpCount is reference-free, spatially aware, class-agnostic object counting with an MAE-pretrained ViT, DPT-style feature reassembly, FeatUp-style joint bilateral upsampling & proposal verification. Repo MIT💙 👉Review https://t.ly/dWOc3 👉Paper https://arxiv.org/pdf/2607.16826 👉Repo github.com/r28112072-rgb/upcount

🔥52👍1👏1

22 Jul 2026, 06:53 UTC≈3,130 views6 reactionsread 13 August 2026
Video

🦜Streaming 4D Transformer🦜 👉IGGT4D is a novel a streaming instance-grounded geometry transformer for online 4D scene understanding. It processes video frames sequentially, reuses historical context through causal spatial-temporal modeling, and incrementally updates a unified representation of camera motion, geometry, and object identity. Repo/Data announced💙 👉Review https://t.ly/LFrKR 👉Paper https://arxiv.org/pdf/2

3🔥2👏1

21 Jul 2026, 11:11 UTC≈2,950 views3 reactionsread 13 August 2026
Poll

What about more posts about Robotics?

  1. Yes, please ♥️60%
  2. Yes, but only if AI is really relevant within the post35%
  3. NO, I’m scared about terminator5%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

3

21 Jul 2026, 06:40 UTC≈2,890 views16 reactionsread 13 August 2026
Video

👉Not a render. Not a concept. This is GENE.01 by Generative Bionics, the Italians coolest scaleup strikes back: in just six months, they turned GENE.01 into a fully functional humanoid platform that can walk, sense and interact. 👉Full-body multimodal skin perceives touch, proximity, force and temperature, bringing Physical AI closer to safe and natural collaboration with people. 👉More: https://t.ly/F3I3A

🔥6🤩54👏1

17 Jul 2026, 06:47 UTC≈3,670 views7 reactionsread 13 August 2026
Video

🏯SOTA Music-to-Dance Gen🏯 👉The Tongyi Lab unveils Wan-Dancer, a novel stable minute-scale synthesis at 720p/30fps across five dance genres. Impressive results, new SOTA on long clip by a large margin. Repo under Apache 2.0💙 👉Review https://t.ly/AKY5j 👉Paper https://lnkd.in/d_xA7dwb 👉Project https://lnkd.in/dzfnw2h4 👉Repo https://lnkd.in/d-Zj_cTf

🤯42🔥1

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

Polls

The poll we hold for this entry, as Telegram rendered it when we read the post. A poll’s figures keep moving after that, so each one is dated.

21 Jul 2026, 11:11 UTCAnonymous Poll378 voters

What about more posts about Robotics?

  1. Yes, please ♥️60%
  2. Yes, but only if AI is really relevant within the post35%
  3. NO, I’m scared about terminator5%

Shares as published. No per-option vote count is published by Telegram, so none is shown.

Percentages only — there are no per-option vote counts here, because Telegram publishes none.The public post preview gives each option’s share and a single voter total, and nothing else. Multiplying one by the other would produce a per-option tally that looks measured and is not: the shares are rounded to whole numbers before we ever see them. We print what was published and leave the column that does not exist empty.

The shares need not add up to 100.Rounding alone puts many polls at 99 or 101. A poll that allows more than one answer per voter runs well past 100 by design, and several here do. The bars are drawn against a fixed 100% track at each option’s own percentage rather than normalised to the total, so a poll that exceeds it shows that it does instead of being quietly rescaled.

Read from the 20 most recent posts we hold, published 7 July 2026 to 30 July 2026. Telegram labels each poll by kind — an anonymous poll, a quiz, a closed set of final results — and that label is reproduced rather than paraphrased.

Citation-graph rank

Citation-graph rank — 638,988 of 1,176,251entries 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

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

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.

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

“AI with Papers - Artificial Intelligence & Deep Learning” (@AI_DeepLearning), 17,031 subscribers as measured 13 August 2026. Telegram Register, tgregister.com/channel/AI_DeepLearning.

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.