BOOK High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications John Wright and Yi Ma Cambridge University Press https://book-wright-ma.github.io/

Channel
ArtificialIntelligenceArticles
@ArtificialIntelligenceArticles
On this record: Growth · Engagement · Posts · Cite this entry
2,867subscribers
-1 since we began measuring on 6 August 2026
Risers and fallers across the register · movement among entries of 1,000–3,162.
Register entry
| Telegram ID | -1001135205499 |
|---|---|
| Type | Channel |
| Username | @ArtificialIntelligenceArticles |
| Created | 17 June 2017 — measured — cross-checked against a third-party dataset (TGDataset) |
| First recorded | 6 August 2026 |
| Last confirmed live | 26 August 2026 |
| Measurements held | 8 |
| Confirmed unchanged | 1 time, most recently 26 August 2026 |
| On Telegram | t.me/ArtificialIntelligenceArticles |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 26 Aug 2026, 09:38 | 2,867 | +1 |
| 23 Aug 2026, 08:16 | 2,866 | -1 |
| 19 Aug 2026, 19:42 | 2,867 | +1 |
| 16 Aug 2026, 16:15 | 2,866 | -1 |
| 12 Aug 2026, 21:58 | 2,867 | +1 |
| 9 Aug 2026, 22:11 | 2,866 | -2 |
| 6 Aug 2026, 05:05 | 2,868 | no change |
| 6 Aug 2026, 03:46 | 2,868 | first reading |
Engagement
20 posts held, back to 24 September 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 2 pagesof 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 12 July 2022. An engagement rate over an empty window would be a number about nothing.
Recent posts
⬆️ YOLOv7 YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors Github: https://github.com/wongkinyiu/yolov7 Paper: https://arxiv.org/abs/2207.02696v1 Dataset: https://paperswithcode.com/dataset/coco
https://dagshub.com/blog/reverse-engineering-google-colab/
https://github.com/DataTalksClub/mlops-zoomcamp
MLOPS Course https://github.com/GokuMohandas/MLOps
Physics-based Deep Learning https://physicsbaseddeeplearning.org/intro.html https://arxiv.org/pdf/2109.05237.pdf
Draft: https://arxiv.org/pdf/2106.10165.pdf
https://m.youtube.com/watch?v=t9cwk3zB7N0
ML YouTube Courses collection of some of the latest machine learning / NLP courses available on YouTube. https://github.com/dair-ai/ML-YouTube-Courses
A ConvNet for the 2020s https://arxiv.org/abs/2201.03545 https://github.com/facebookresearch/ConvNeXt
40 Open-Source Audio Datasets for ML Over 2 TBs of labeled audio datasets publicly available and parseable on DagsHub https://towardsdatascience.com/40-open-source-audio-datasets-for-ml-59dc39d48f06
https://medium.com/paperswithcode/papers-with-code-2021-a-year-in-review-de75d5a77b8b
Showing the 12 most recent of 20 posts we hold for @ArtificialIntelligenceArticles. 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.
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 26 August 2026 — this entry's latest reading, not the date you are reading this.
“ArtificialIntelligenceArticles” (@ArtificialIntelligenceArticles), 2,867 subscribers as measured 26 August 2026. Telegram Register, tgregister.com/channel/ArtificialIntelligenceArticles.
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.